aiplatform

package
v0.0.0-...-6cb3ea0 Latest Latest
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 Go to latest Published: Jun 7, 2021 License: Apache-2.0 Imports: 19 Imported by: 0

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Index

Constants

This section is empty.

Variables

View Source 
var (
	AcceleratorType_name = map[int32]string{
		0: "ACCELERATOR_TYPE_UNSPECIFIED",
		1: "NVIDIA_TESLA_K80",
		2: "NVIDIA_TESLA_P100",
		3: "NVIDIA_TESLA_V100",
		4: "NVIDIA_TESLA_P4",
		5: "NVIDIA_TESLA_T4",
		8: "NVIDIA_TESLA_A100",
	}
	AcceleratorType_value = map[string]int32{
		"ACCELERATOR_TYPE_UNSPECIFIED": 0,
		"NVIDIA_TESLA_K80":             1,
		"NVIDIA_TESLA_P100":            2,
		"NVIDIA_TESLA_V100":            3,
		"NVIDIA_TESLA_P4":              4,
		"NVIDIA_TESLA_T4":              5,
		"NVIDIA_TESLA_A100":            8,
	}
)

Enum value maps for AcceleratorType.

View Source 
var (
	Artifact_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PENDING",
		2: "LIVE",
	}
	Artifact_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PENDING":           1,
		"LIVE":              2,
	}
)

Enum value maps for Artifact_State.

View Source 
var (
	SampleConfig_SampleStrategy_name = map[int32]string{
		0: "SAMPLE_STRATEGY_UNSPECIFIED",
		1: "UNCERTAINTY",
	}
	SampleConfig_SampleStrategy_value = map[string]int32{
		"SAMPLE_STRATEGY_UNSPECIFIED": 0,
		"UNCERTAINTY":                 1,
	}
)

Enum value maps for SampleConfig_SampleStrategy.

View Source 
var (
	Event_Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "INPUT",
		2: "OUTPUT",
	}
	Event_Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"INPUT":            1,
		"OUTPUT":           2,
	}
)

Enum value maps for Event_Type.

View Source 
var (
	Execution_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "NEW",
		2: "RUNNING",
		3: "COMPLETE",
		4: "FAILED",
	}
	Execution_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"NEW":               1,
		"RUNNING":           2,
		"COMPLETE":          3,
		"FAILED":            4,
	}
)

Enum value maps for Execution_State.

View Source 
var (
	ExplanationMetadata_InputMetadata_Encoding_name = map[int32]string{
		0: "ENCODING_UNSPECIFIED",
		1: "IDENTITY",
		2: "BAG_OF_FEATURES",
		3: "BAG_OF_FEATURES_SPARSE",
		4: "INDICATOR",
		5: "COMBINED_EMBEDDING",
		6: "CONCAT_EMBEDDING",
	}
	ExplanationMetadata_InputMetadata_Encoding_value = map[string]int32{
		"ENCODING_UNSPECIFIED":   0,
		"IDENTITY":               1,
		"BAG_OF_FEATURES":        2,
		"BAG_OF_FEATURES_SPARSE": 3,
		"INDICATOR":              4,
		"COMBINED_EMBEDDING":     5,
		"CONCAT_EMBEDDING":       6,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Encoding.

View Source 
var (
	ExplanationMetadata_InputMetadata_Visualization_Type_name = map[int32]string{
		0: "TYPE_UNSPECIFIED",
		1: "PIXELS",
		2: "OUTLINES",
	}
	ExplanationMetadata_InputMetadata_Visualization_Type_value = map[string]int32{
		"TYPE_UNSPECIFIED": 0,
		"PIXELS":           1,
		"OUTLINES":         2,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Type.

View Source 
var (
	ExplanationMetadata_InputMetadata_Visualization_Polarity_name = map[int32]string{
		0: "POLARITY_UNSPECIFIED",
		1: "POSITIVE",
		2: "NEGATIVE",
		3: "BOTH",
	}
	ExplanationMetadata_InputMetadata_Visualization_Polarity_value = map[string]int32{
		"POLARITY_UNSPECIFIED": 0,
		"POSITIVE":             1,
		"NEGATIVE":             2,
		"BOTH":                 3,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_Polarity.

View Source 
var (
	ExplanationMetadata_InputMetadata_Visualization_ColorMap_name = map[int32]string{
		0: "COLOR_MAP_UNSPECIFIED",
		1: "PINK_GREEN",
		2: "VIRIDIS",
		3: "RED",
		4: "GREEN",
		6: "RED_GREEN",
		5: "PINK_WHITE_GREEN",
	}
	ExplanationMetadata_InputMetadata_Visualization_ColorMap_value = map[string]int32{
		"COLOR_MAP_UNSPECIFIED": 0,
		"PINK_GREEN":            1,
		"VIRIDIS":               2,
		"RED":                   3,
		"GREEN":                 4,
		"RED_GREEN":             6,
		"PINK_WHITE_GREEN":      5,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_ColorMap.

View Source 
var (
	ExplanationMetadata_InputMetadata_Visualization_OverlayType_name = map[int32]string{
		0: "OVERLAY_TYPE_UNSPECIFIED",
		1: "NONE",
		2: "ORIGINAL",
		3: "GRAYSCALE",
		4: "MASK_BLACK",
	}
	ExplanationMetadata_InputMetadata_Visualization_OverlayType_value = map[string]int32{
		"OVERLAY_TYPE_UNSPECIFIED": 0,
		"NONE":                     1,
		"ORIGINAL":                 2,
		"GRAYSCALE":                3,
		"MASK_BLACK":               4,
	}
)

Enum value maps for ExplanationMetadata_InputMetadata_Visualization_OverlayType.

View Source 
var (
	Feature_ValueType_name = map[int32]string{
		0:  "VALUE_TYPE_UNSPECIFIED",
		1:  "BOOL",
		2:  "BOOL_ARRAY",
		3:  "DOUBLE",
		4:  "DOUBLE_ARRAY",
		9:  "INT64",
		10: "INT64_ARRAY",
		11: "STRING",
		12: "STRING_ARRAY",
		13: "BYTES",
	}
	Feature_ValueType_value = map[string]int32{
		"VALUE_TYPE_UNSPECIFIED": 0,
		"BOOL":                   1,
		"BOOL_ARRAY":             2,
		"DOUBLE":                 3,
		"DOUBLE_ARRAY":           4,
		"INT64":                  9,
		"INT64_ARRAY":            10,
		"STRING":                 11,
		"STRING_ARRAY":           12,
		"BYTES":                  13,
	}
)

Enum value maps for Feature_ValueType.

View Source 
var (
	Featurestore_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "STABLE",
		2: "UPDATING",
	}
	Featurestore_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"STABLE":            1,
		"UPDATING":          2,
	}
)

Enum value maps for Featurestore_State.

View Source 
var (
	NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_name = map[int32]string{
		0: "ERROR_TYPE_UNSPECIFIED",
		1: "EMPTY_LINE",
		2: "INVALID_JSON_SYNTAX",
		3: "INVALID_CSV_SYNTAX",
		4: "INVALID_AVRO_SYNTAX",
		5: "INVALID_EMBEDDING_ID",
		6: "EMBEDDING_SIZE_MISMATCH",
		7: "NAMESPACE_MISSING",
	}
	NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType_value = map[string]int32{
		"ERROR_TYPE_UNSPECIFIED":  0,
		"EMPTY_LINE":              1,
		"INVALID_JSON_SYNTAX":     2,
		"INVALID_CSV_SYNTAX":      3,
		"INVALID_AVRO_SYNTAX":     4,
		"INVALID_EMBEDDING_ID":    5,
		"EMBEDDING_SIZE_MISMATCH": 6,
		"NAMESPACE_MISSING":       7,
	}
)

Enum value maps for NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType.

View Source 
var (
	JobState_name = map[int32]string{
		0: "JOB_STATE_UNSPECIFIED",
		1: "JOB_STATE_QUEUED",
		2: "JOB_STATE_PENDING",
		3: "JOB_STATE_RUNNING",
		4: "JOB_STATE_SUCCEEDED",
		5: "JOB_STATE_FAILED",
		6: "JOB_STATE_CANCELLING",
		7: "JOB_STATE_CANCELLED",
		8: "JOB_STATE_PAUSED",
		9: "JOB_STATE_EXPIRED",
	}
	JobState_value = map[string]int32{
		"JOB_STATE_UNSPECIFIED": 0,
		"JOB_STATE_QUEUED":      1,
		"JOB_STATE_PENDING":     2,
		"JOB_STATE_RUNNING":     3,
		"JOB_STATE_SUCCEEDED":   4,
		"JOB_STATE_FAILED":      5,
		"JOB_STATE_CANCELLING":  6,
		"JOB_STATE_CANCELLED":   7,
		"JOB_STATE_PAUSED":      8,
		"JOB_STATE_EXPIRED":     9,
	}
)

Enum value maps for JobState.

View Source 
var (
	MetadataSchema_MetadataSchemaType_name = map[int32]string{
		0: "METADATA_SCHEMA_TYPE_UNSPECIFIED",
		1: "ARTIFACT_TYPE",
		2: "EXECUTION_TYPE",
		3: "CONTEXT_TYPE",
	}
	MetadataSchema_MetadataSchemaType_value = map[string]int32{
		"METADATA_SCHEMA_TYPE_UNSPECIFIED": 0,
		"ARTIFACT_TYPE":                    1,
		"EXECUTION_TYPE":                   2,
		"CONTEXT_TYPE":                     3,
	}
)

Enum value maps for MetadataSchema_MetadataSchemaType.

View Source 
var (
	Model_DeploymentResourcesType_name = map[int32]string{
		0: "DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED",
		1: "DEDICATED_RESOURCES",
		2: "AUTOMATIC_RESOURCES",
	}
	Model_DeploymentResourcesType_value = map[string]int32{
		"DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED": 0,
		"DEDICATED_RESOURCES":                   1,
		"AUTOMATIC_RESOURCES":                   2,
	}
)

Enum value maps for Model_DeploymentResourcesType.

View Source 
var (
	Model_ExportFormat_ExportableContent_name = map[int32]string{
		0: "EXPORTABLE_CONTENT_UNSPECIFIED",
		1: "ARTIFACT",
		2: "IMAGE",
	}
	Model_ExportFormat_ExportableContent_value = map[string]int32{
		"EXPORTABLE_CONTENT_UNSPECIFIED": 0,
		"ARTIFACT":                       1,
		"IMAGE":                          2,
	}
)

Enum value maps for Model_ExportFormat_ExportableContent.

View Source 
var (
	ModelDeploymentMonitoringObjectiveType_name = map[int32]string{
		0: "MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED",
		1: "RAW_FEATURE_SKEW",
		2: "RAW_FEATURE_DRIFT",
		3: "FEATURE_ATTRIBUTION_SKEW",
		4: "FEATURE_ATTRIBUTION_DRIFT",
	}
	ModelDeploymentMonitoringObjectiveType_value = map[string]int32{
		"MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED": 0,
		"RAW_FEATURE_SKEW":          1,
		"RAW_FEATURE_DRIFT":         2,
		"FEATURE_ATTRIBUTION_SKEW":  3,
		"FEATURE_ATTRIBUTION_DRIFT": 4,
	}
)

Enum value maps for ModelDeploymentMonitoringObjectiveType.

View Source 
var (
	ModelDeploymentMonitoringJob_MonitoringScheduleState_name = map[int32]string{
		0: "MONITORING_SCHEDULE_STATE_UNSPECIFIED",
		1: "PENDING",
		2: "OFFLINE",
		3: "RUNNING",
	}
	ModelDeploymentMonitoringJob_MonitoringScheduleState_value = map[string]int32{
		"MONITORING_SCHEDULE_STATE_UNSPECIFIED": 0,
		"PENDING":                               1,
		"OFFLINE":                               2,
		"RUNNING":                               3,
	}
)

Enum value maps for ModelDeploymentMonitoringJob_MonitoringScheduleState.

View Source 
var (
	ModelDeploymentMonitoringBigQueryTable_LogSource_name = map[int32]string{
		0: "LOG_SOURCE_UNSPECIFIED",
		1: "TRAINING",
		2: "SERVING",
	}
	ModelDeploymentMonitoringBigQueryTable_LogSource_value = map[string]int32{
		"LOG_SOURCE_UNSPECIFIED": 0,
		"TRAINING":               1,
		"SERVING":                2,
	}
)

Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogSource.

View Source 
var (
	ModelDeploymentMonitoringBigQueryTable_LogType_name = map[int32]string{
		0: "LOG_TYPE_UNSPECIFIED",
		1: "PREDICT",
		2: "EXPLAIN",
	}
	ModelDeploymentMonitoringBigQueryTable_LogType_value = map[string]int32{
		"LOG_TYPE_UNSPECIFIED": 0,
		"PREDICT":              1,
		"EXPLAIN":              2,
	}
)

Enum value maps for ModelDeploymentMonitoringBigQueryTable_LogType.

View Source 
var (
	PipelineTaskDetail_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PENDING",
		2: "RUNNING",
		3: "SUCCEEDED",
		4: "CANCEL_PENDING",
		5: "CANCELLING",
		6: "CANCELLED",
		7: "FAILED",
		8: "SKIPPED",
		9: "NOT_TRIGGERED",
	}
	PipelineTaskDetail_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PENDING":           1,
		"RUNNING":           2,
		"SUCCEEDED":         3,
		"CANCEL_PENDING":    4,
		"CANCELLING":        5,
		"CANCELLED":         6,
		"FAILED":            7,
		"SKIPPED":           8,
		"NOT_TRIGGERED":     9,
	}
)

Enum value maps for PipelineTaskDetail_State.

View Source 
var (
	PipelineState_name = map[int32]string{
		0: "PIPELINE_STATE_UNSPECIFIED",
		1: "PIPELINE_STATE_QUEUED",
		2: "PIPELINE_STATE_PENDING",
		3: "PIPELINE_STATE_RUNNING",
		4: "PIPELINE_STATE_SUCCEEDED",
		5: "PIPELINE_STATE_FAILED",
		6: "PIPELINE_STATE_CANCELLING",
		7: "PIPELINE_STATE_CANCELLED",
		8: "PIPELINE_STATE_PAUSED",
	}
	PipelineState_value = map[string]int32{
		"PIPELINE_STATE_UNSPECIFIED": 0,
		"PIPELINE_STATE_QUEUED":      1,
		"PIPELINE_STATE_PENDING":     2,
		"PIPELINE_STATE_RUNNING":     3,
		"PIPELINE_STATE_SUCCEEDED":   4,
		"PIPELINE_STATE_FAILED":      5,
		"PIPELINE_STATE_CANCELLING":  6,
		"PIPELINE_STATE_CANCELLED":   7,
		"PIPELINE_STATE_PAUSED":      8,
	}
)

Enum value maps for PipelineState.

View Source 
var (
	Study_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "ACTIVE",
		2: "INACTIVE",
		3: "COMPLETED",
	}
	Study_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"ACTIVE":            1,
		"INACTIVE":          2,
		"COMPLETED":         3,
	}
)

Enum value maps for Study_State.

View Source 
var (
	Trial_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "REQUESTED",
		2: "ACTIVE",
		3: "STOPPING",
		4: "SUCCEEDED",
		5: "INFEASIBLE",
	}
	Trial_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"REQUESTED":         1,
		"ACTIVE":            2,
		"STOPPING":          3,
		"SUCCEEDED":         4,
		"INFEASIBLE":        5,
	}
)

Enum value maps for Trial_State.

View Source 
var (
	StudySpec_Algorithm_name = map[int32]string{
		0: "ALGORITHM_UNSPECIFIED",
		2: "GRID_SEARCH",
		3: "RANDOM_SEARCH",
	}
	StudySpec_Algorithm_value = map[string]int32{
		"ALGORITHM_UNSPECIFIED": 0,
		"GRID_SEARCH":           2,
		"RANDOM_SEARCH":         3,
	}
)

Enum value maps for StudySpec_Algorithm.

View Source 
var (
	StudySpec_ObservationNoise_name = map[int32]string{
		0: "OBSERVATION_NOISE_UNSPECIFIED",
		1: "LOW",
		2: "HIGH",
	}
	StudySpec_ObservationNoise_value = map[string]int32{
		"OBSERVATION_NOISE_UNSPECIFIED": 0,
		"LOW":                           1,
		"HIGH":                          2,
	}
)

Enum value maps for StudySpec_ObservationNoise.

View Source 
var (
	StudySpec_MeasurementSelectionType_name = map[int32]string{
		0: "MEASUREMENT_SELECTION_TYPE_UNSPECIFIED",
		1: "LAST_MEASUREMENT",
		2: "BEST_MEASUREMENT",
	}
	StudySpec_MeasurementSelectionType_value = map[string]int32{
		"MEASUREMENT_SELECTION_TYPE_UNSPECIFIED": 0,
		"LAST_MEASUREMENT":                       1,
		"BEST_MEASUREMENT":                       2,
	}
)

Enum value maps for StudySpec_MeasurementSelectionType.

View Source 
var (
	StudySpec_MetricSpec_GoalType_name = map[int32]string{
		0: "GOAL_TYPE_UNSPECIFIED",
		1: "MAXIMIZE",
		2: "MINIMIZE",
	}
	StudySpec_MetricSpec_GoalType_value = map[string]int32{
		"GOAL_TYPE_UNSPECIFIED": 0,
		"MAXIMIZE":              1,
		"MINIMIZE":              2,
	}
)

Enum value maps for StudySpec_MetricSpec_GoalType.

View Source 
var (
	StudySpec_ParameterSpec_ScaleType_name = map[int32]string{
		0: "SCALE_TYPE_UNSPECIFIED",
		1: "UNIT_LINEAR_SCALE",
		2: "UNIT_LOG_SCALE",
		3: "UNIT_REVERSE_LOG_SCALE",
	}
	StudySpec_ParameterSpec_ScaleType_value = map[string]int32{
		"SCALE_TYPE_UNSPECIFIED": 0,
		"UNIT_LINEAR_SCALE":      1,
		"UNIT_LOG_SCALE":         2,
		"UNIT_REVERSE_LOG_SCALE": 3,
	}
)

Enum value maps for StudySpec_ParameterSpec_ScaleType.

View Source 
var (
	TensorboardTimeSeries_ValueType_name = map[int32]string{
		0: "VALUE_TYPE_UNSPECIFIED",
		1: "SCALAR",
		2: "TENSOR",
		3: "BLOB_SEQUENCE",
	}
	TensorboardTimeSeries_ValueType_value = map[string]int32{
		"VALUE_TYPE_UNSPECIFIED": 0,
		"SCALAR":                 1,
		"TENSOR":                 2,
		"BLOB_SEQUENCE":          3,
	}
)

Enum value maps for TensorboardTimeSeries_ValueType.

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var File_google_cloud_aiplatform_v1beta1_accelerator_type_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_annotation_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_annotation_spec_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_artifact_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_batch_prediction_job_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_completion_stats_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_context_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_custom_job_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_data_item_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_data_labeling_job_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_dataset_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_dataset_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_deployed_index_ref_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_deployed_model_ref_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_encryption_spec_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_endpoint_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_endpoint_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_entity_type_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_env_var_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_event_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_execution_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_explanation_metadata_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_explanation_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_feature_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_feature_selector_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_featurestore_monitoring_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_featurestore_online_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_featurestore_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_featurestore_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_hyperparameter_tuning_job_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_index_endpoint_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_index_endpoint_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_index_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_index_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_io_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_job_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_job_state_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_lineage_subgraph_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_machine_resources_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_manual_batch_tuning_parameters_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_metadata_schema_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_metadata_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_metadata_store_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_migratable_resource_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_migration_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_model_evaluation_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_model_evaluation_slice_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_model_monitoring_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_model_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_model_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_operation_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_pipeline_job_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_pipeline_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_pipeline_state_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_prediction_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_specialist_pool_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_specialist_pool_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_study_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_tensorboard_data_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_tensorboard_experiment_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_tensorboard_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_tensorboard_run_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_tensorboard_service_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_tensorboard_time_series_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_training_pipeline_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_types_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_user_action_reference_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_value_proto protoreflect.FileDescriptor
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var File_google_cloud_aiplatform_v1beta1_vizier_service_proto protoreflect.FileDescriptor

Functions

func RegisterDatasetServiceServer 

func RegisterDatasetServiceServer(s *grpc.Server, srv DatasetServiceServer)

func RegisterEndpointServiceServer 

func RegisterEndpointServiceServer(s *grpc.Server, srv EndpointServiceServer)

func RegisterFeaturestoreOnlineServingServiceServer 

func RegisterFeaturestoreOnlineServingServiceServer(s *grpc.Server, srv FeaturestoreOnlineServingServiceServer)

func RegisterFeaturestoreServiceServer 

func RegisterFeaturestoreServiceServer(s *grpc.Server, srv FeaturestoreServiceServer)

func RegisterIndexEndpointServiceServer 

func RegisterIndexEndpointServiceServer(s *grpc.Server, srv IndexEndpointServiceServer)

func RegisterIndexServiceServer 

func RegisterIndexServiceServer(s *grpc.Server, srv IndexServiceServer)

func RegisterJobServiceServer 

func RegisterJobServiceServer(s *grpc.Server, srv JobServiceServer)

func RegisterMetadataServiceServer 

func RegisterMetadataServiceServer(s *grpc.Server, srv MetadataServiceServer)

func RegisterMigrationServiceServer 

func RegisterMigrationServiceServer(s *grpc.Server, srv MigrationServiceServer)

func RegisterModelServiceServer 

func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer)

func RegisterPipelineServiceServer 

func RegisterPipelineServiceServer(s *grpc.Server, srv PipelineServiceServer)

func RegisterPredictionServiceServer 

func RegisterPredictionServiceServer(s *grpc.Server, srv PredictionServiceServer)

func RegisterSpecialistPoolServiceServer 

func RegisterSpecialistPoolServiceServer(s *grpc.Server, srv SpecialistPoolServiceServer)

func RegisterTensorboardServiceServer 

func RegisterTensorboardServiceServer(s *grpc.Server, srv TensorboardServiceServer)

func RegisterVizierServiceServer 

func RegisterVizierServiceServer(s *grpc.Server, srv VizierServiceServer)

Types

type AcceleratorType 

type AcceleratorType int32

Represents a hardware accelerator type. 

const (
	// Unspecified accelerator type, which means no accelerator.
	AcceleratorType_ACCELERATOR_TYPE_UNSPECIFIED AcceleratorType = 0
	// Nvidia Tesla K80 GPU.
	AcceleratorType_NVIDIA_TESLA_K80 AcceleratorType = 1
	// Nvidia Tesla P100 GPU.
	AcceleratorType_NVIDIA_TESLA_P100 AcceleratorType = 2
	// Nvidia Tesla V100 GPU.
	AcceleratorType_NVIDIA_TESLA_V100 AcceleratorType = 3
	// Nvidia Tesla P4 GPU.
	AcceleratorType_NVIDIA_TESLA_P4 AcceleratorType = 4
	// Nvidia Tesla T4 GPU.
	AcceleratorType_NVIDIA_TESLA_T4 AcceleratorType = 5
	// Nvidia Tesla A100 GPU.
	AcceleratorType_NVIDIA_TESLA_A100 AcceleratorType = 8
)

func (AcceleratorType) Descriptor 

func (AcceleratorType) Descriptor() protoreflect.EnumDescriptor

func (AcceleratorType) Enum 

func (x AcceleratorType) Enum() *AcceleratorType

func (AcceleratorType) EnumDescriptor deprecated 

func (AcceleratorType) EnumDescriptor() ([]byte, []int)

Deprecated: Use AcceleratorType.Descriptor instead.

func (AcceleratorType) Number 

func (x AcceleratorType) Number() protoreflect.EnumNumber

func (AcceleratorType) String 

func (x AcceleratorType) String() string

func (AcceleratorType) Type 

func (AcceleratorType) Type() protoreflect.EnumType

type ActiveLearningConfig 

type ActiveLearningConfig struct {

	// Required. Max human labeling DataItems. The rest part will be labeled by
	// machine.
	//
	// Types that are assignable to HumanLabelingBudget:
	//	*ActiveLearningConfig_MaxDataItemCount
	//	*ActiveLearningConfig_MaxDataItemPercentage
	HumanLabelingBudget isActiveLearningConfig_HumanLabelingBudget `protobuf_oneof:"human_labeling_budget"`
	// Active learning data sampling config. For every active learning labeling
	// iteration, it will select a batch of data based on the sampling strategy.
	SampleConfig *SampleConfig `protobuf:"bytes,3,opt,name=sample_config,json=sampleConfig,proto3" json:"sample_config,omitempty"`
	// CMLE training config. For every active learning labeling iteration, system
	// will train a machine learning model on CMLE. The trained model will be used
	// by data sampling algorithm to select DataItems.
	TrainingConfig *TrainingConfig `protobuf:"bytes,4,opt,name=training_config,json=trainingConfig,proto3" json:"training_config,omitempty"`
	// contains filtered or unexported fields
}

Parameters that configure the active learning pipeline. Active learning will 

label the data incrementally by several iterations. For every iteration, it
will select a batch of data based on the sampling strategy.

func (*ActiveLearningConfig) Descriptor deprecated 

func (*ActiveLearningConfig) Descriptor() ([]byte, []int)

Deprecated: Use ActiveLearningConfig.ProtoReflect.Descriptor instead.

func (*ActiveLearningConfig) GetHumanLabelingBudget 

func (m *ActiveLearningConfig) GetHumanLabelingBudget() isActiveLearningConfig_HumanLabelingBudget

func (*ActiveLearningConfig) GetMaxDataItemCount 

func (x *ActiveLearningConfig) GetMaxDataItemCount() int64

func (*ActiveLearningConfig) GetMaxDataItemPercentage 

func (x *ActiveLearningConfig) GetMaxDataItemPercentage() int32

func (*ActiveLearningConfig) GetSampleConfig 

func (x *ActiveLearningConfig) GetSampleConfig() *SampleConfig

func (*ActiveLearningConfig) GetTrainingConfig 

func (x *ActiveLearningConfig) GetTrainingConfig() *TrainingConfig

func (*ActiveLearningConfig) ProtoMessage 

func (*ActiveLearningConfig) ProtoMessage()

func (*ActiveLearningConfig) ProtoReflect 

func (x *ActiveLearningConfig) ProtoReflect() protoreflect.Message

func (*ActiveLearningConfig) Reset 

func (x *ActiveLearningConfig) Reset()

func (*ActiveLearningConfig) String 

func (x *ActiveLearningConfig) String() string

type ActiveLearningConfig_MaxDataItemCount 

type ActiveLearningConfig_MaxDataItemCount struct {
	// Max number of human labeled DataItems.
	MaxDataItemCount int64 `protobuf:"varint,1,opt,name=max_data_item_count,json=maxDataItemCount,proto3,oneof"`
}

type ActiveLearningConfig_MaxDataItemPercentage 

type ActiveLearningConfig_MaxDataItemPercentage struct {
	// Max percent of total DataItems for human labeling.
	MaxDataItemPercentage int32 `protobuf:"varint,2,opt,name=max_data_item_percentage,json=maxDataItemPercentage,proto3,oneof"`
}

type AddContextArtifactsAndExecutionsRequest 

type AddContextArtifactsAndExecutionsRequest struct {

	// Required. The resource name of the Context that the Artifacts and Executions
	// belong to.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the Artifacts to attribute to the Context.
	//
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}
	Artifacts []string `protobuf:"bytes,2,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// The resource names of the Executions to associate with the
	// Context.
	//
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
	Executions []string `protobuf:"bytes,3,rep,name=executions,proto3" json:"executions,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].

func (*AddContextArtifactsAndExecutionsRequest) Descriptor deprecated 

func (*AddContextArtifactsAndExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddContextArtifactsAndExecutionsRequest.ProtoReflect.Descriptor instead.

func (*AddContextArtifactsAndExecutionsRequest) GetArtifacts 

func (x *AddContextArtifactsAndExecutionsRequest) GetArtifacts() []string

func (*AddContextArtifactsAndExecutionsRequest) GetContext 

func (x *AddContextArtifactsAndExecutionsRequest) GetContext() string

func (*AddContextArtifactsAndExecutionsRequest) GetExecutions 

func (x *AddContextArtifactsAndExecutionsRequest) GetExecutions() []string

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage 

func (*AddContextArtifactsAndExecutionsRequest) ProtoMessage()

func (*AddContextArtifactsAndExecutionsRequest) ProtoReflect 

func (x *AddContextArtifactsAndExecutionsRequest) ProtoReflect() protoreflect.Message

func (*AddContextArtifactsAndExecutionsRequest) Reset 

func (x *AddContextArtifactsAndExecutionsRequest) Reset()

func (*AddContextArtifactsAndExecutionsRequest) String 

func (x *AddContextArtifactsAndExecutionsRequest) String() string

type AddContextArtifactsAndExecutionsResponse 

type AddContextArtifactsAndExecutionsResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].

func (*AddContextArtifactsAndExecutionsResponse) Descriptor deprecated 

func (*AddContextArtifactsAndExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddContextArtifactsAndExecutionsResponse.ProtoReflect.Descriptor instead.

func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage 

func (*AddContextArtifactsAndExecutionsResponse) ProtoMessage()

func (*AddContextArtifactsAndExecutionsResponse) ProtoReflect 

func (x *AddContextArtifactsAndExecutionsResponse) ProtoReflect() protoreflect.Message

func (*AddContextArtifactsAndExecutionsResponse) Reset 

func (x *AddContextArtifactsAndExecutionsResponse) Reset()

func (*AddContextArtifactsAndExecutionsResponse) String 

func (x *AddContextArtifactsAndExecutionsResponse) String() string

type AddContextChildrenRequest 

type AddContextChildrenRequest struct {

	// Required. The resource name of the parent Context.
	//
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// The resource names of the child Contexts.
	ChildContexts []string `protobuf:"bytes,2,rep,name=child_contexts,json=childContexts,proto3" json:"child_contexts,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].

func (*AddContextChildrenRequest) Descriptor deprecated 

func (*AddContextChildrenRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddContextChildrenRequest.ProtoReflect.Descriptor instead.

func (*AddContextChildrenRequest) GetChildContexts 

func (x *AddContextChildrenRequest) GetChildContexts() []string

func (*AddContextChildrenRequest) GetContext 

func (x *AddContextChildrenRequest) GetContext() string

func (*AddContextChildrenRequest) ProtoMessage 

func (*AddContextChildrenRequest) ProtoMessage()

func (*AddContextChildrenRequest) ProtoReflect 

func (x *AddContextChildrenRequest) ProtoReflect() protoreflect.Message

func (*AddContextChildrenRequest) Reset 

func (x *AddContextChildrenRequest) Reset()

func (*AddContextChildrenRequest) String 

func (x *AddContextChildrenRequest) String() string

type AddContextChildrenResponse 

type AddContextChildrenResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].

func (*AddContextChildrenResponse) Descriptor deprecated 

func (*AddContextChildrenResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddContextChildrenResponse.ProtoReflect.Descriptor instead.

func (*AddContextChildrenResponse) ProtoMessage 

func (*AddContextChildrenResponse) ProtoMessage()

func (*AddContextChildrenResponse) ProtoReflect 

func (x *AddContextChildrenResponse) ProtoReflect() protoreflect.Message

func (*AddContextChildrenResponse) Reset 

func (x *AddContextChildrenResponse) Reset()

func (*AddContextChildrenResponse) String 

func (x *AddContextChildrenResponse) String() string

type AddExecutionEventsRequest 

type AddExecutionEventsRequest struct {

	// Required. The resource name of the Execution that the Events connect
	// Artifacts with.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
	Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// The Events to create and add.
	Events []*Event `protobuf:"bytes,2,rep,name=events,proto3" json:"events,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].

func (*AddExecutionEventsRequest) Descriptor deprecated 

func (*AddExecutionEventsRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddExecutionEventsRequest.ProtoReflect.Descriptor instead.

func (*AddExecutionEventsRequest) GetEvents 

func (x *AddExecutionEventsRequest) GetEvents() []*Event

func (*AddExecutionEventsRequest) GetExecution 

func (x *AddExecutionEventsRequest) GetExecution() string

func (*AddExecutionEventsRequest) ProtoMessage 

func (*AddExecutionEventsRequest) ProtoMessage()

func (*AddExecutionEventsRequest) ProtoReflect 

func (x *AddExecutionEventsRequest) ProtoReflect() protoreflect.Message

func (*AddExecutionEventsRequest) Reset 

func (x *AddExecutionEventsRequest) Reset()

func (*AddExecutionEventsRequest) String 

func (x *AddExecutionEventsRequest) String() string

type AddExecutionEventsResponse 

type AddExecutionEventsResponse struct {
	// contains filtered or unexported fields
}

Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].

func (*AddExecutionEventsResponse) Descriptor deprecated 

func (*AddExecutionEventsResponse) Descriptor() ([]byte, []int)

Deprecated: Use AddExecutionEventsResponse.ProtoReflect.Descriptor instead.

func (*AddExecutionEventsResponse) ProtoMessage 

func (*AddExecutionEventsResponse) ProtoMessage()

func (*AddExecutionEventsResponse) ProtoReflect 

func (x *AddExecutionEventsResponse) ProtoReflect() protoreflect.Message

func (*AddExecutionEventsResponse) Reset 

func (x *AddExecutionEventsResponse) Reset()

func (*AddExecutionEventsResponse) String 

func (x *AddExecutionEventsResponse) String() string

type AddTrialMeasurementRequest 

type AddTrialMeasurementRequest struct {

	// Required. The name of the trial to add measurement.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
	// Required. The measurement to be added to a Trial.
	Measurement *Measurement `protobuf:"bytes,3,opt,name=measurement,proto3" json:"measurement,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].

func (*AddTrialMeasurementRequest) Descriptor deprecated 

func (*AddTrialMeasurementRequest) Descriptor() ([]byte, []int)

Deprecated: Use AddTrialMeasurementRequest.ProtoReflect.Descriptor instead.

func (*AddTrialMeasurementRequest) GetMeasurement 

func (x *AddTrialMeasurementRequest) GetMeasurement() *Measurement

func (*AddTrialMeasurementRequest) GetTrialName 

func (x *AddTrialMeasurementRequest) GetTrialName() string

func (*AddTrialMeasurementRequest) ProtoMessage 

func (*AddTrialMeasurementRequest) ProtoMessage()

func (*AddTrialMeasurementRequest) ProtoReflect 

func (x *AddTrialMeasurementRequest) ProtoReflect() protoreflect.Message

func (*AddTrialMeasurementRequest) Reset 

func (x *AddTrialMeasurementRequest) Reset()

func (*AddTrialMeasurementRequest) String 

func (x *AddTrialMeasurementRequest) String() string

type Annotation 

type Annotation struct {

	// Output only. Resource name of the Annotation.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Google Cloud Storage URI points to a YAML file describing [payload][google.cloud.aiplatform.v1beta1.Annotation.payload]. The
	// schema is defined as an [OpenAPI 3.0.2 Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// The schema files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
	// chosen schema must be consistent with the parent Dataset's
	// [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri].
	PayloadSchemaUri string `protobuf:"bytes,2,opt,name=payload_schema_uri,json=payloadSchemaUri,proto3" json:"payload_schema_uri,omitempty"`
	// Required. The schema of the payload can be found in
	// [payload_schema][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri].
	Payload *structpb.Value `protobuf:"bytes,3,opt,name=payload,proto3" json:"payload,omitempty"`
	// Output only. Timestamp when this Annotation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Annotation was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// Output only. The source of the Annotation.
	AnnotationSource *UserActionReference `protobuf:"bytes,5,opt,name=annotation_source,json=annotationSource,proto3" json:"annotation_source,omitempty"`
	// Optional. The labels with user-defined metadata to organize your Annotations.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Annotation(System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each Annotation:
	//
	// * "aiplatform.googleapis.com/annotation_set_name":
	//   optional, name of the UI's annotation set this Annotation belongs to.
	//   If not set, the Annotation is not visible in the UI.
	//
	// * "aiplatform.googleapis.com/payload_schema":
	//   output only, its value is the [payload_schema's][google.cloud.aiplatform.v1beta1.Annotation.payload_schema_uri]
	//   title.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// contains filtered or unexported fields
}

Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.

func (*Annotation) Descriptor deprecated 

func (*Annotation) Descriptor() ([]byte, []int)

Deprecated: Use Annotation.ProtoReflect.Descriptor instead.

func (*Annotation) GetAnnotationSource 

func (x *Annotation) GetAnnotationSource() *UserActionReference

func (*Annotation) GetCreateTime 

func (x *Annotation) GetCreateTime() *timestamppb.Timestamp

func (*Annotation) GetEtag 

func (x *Annotation) GetEtag() string

func (*Annotation) GetLabels 

func (x *Annotation) GetLabels() map[string]string

func (*Annotation) GetName 

func (x *Annotation) GetName() string

func (*Annotation) GetPayload 

func (x *Annotation) GetPayload() *structpb.Value

func (*Annotation) GetPayloadSchemaUri 

func (x *Annotation) GetPayloadSchemaUri() string

func (*Annotation) GetUpdateTime 

func (x *Annotation) GetUpdateTime() *timestamppb.Timestamp

func (*Annotation) ProtoMessage 

func (*Annotation) ProtoMessage()

func (*Annotation) ProtoReflect 

func (x *Annotation) ProtoReflect() protoreflect.Message

func (*Annotation) Reset 

func (x *Annotation) Reset()

func (*Annotation) String 

func (x *Annotation) String() string

type AnnotationSpec 

type AnnotationSpec struct {

	// Output only. Resource name of the AnnotationSpec.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the AnnotationSpec.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Timestamp when this AnnotationSpec was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when AnnotationSpec was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Identifies a concept with which DataItems may be annotated with.

func (*AnnotationSpec) Descriptor deprecated 

func (*AnnotationSpec) Descriptor() ([]byte, []int)

Deprecated: Use AnnotationSpec.ProtoReflect.Descriptor instead.

func (*AnnotationSpec) GetCreateTime 

func (x *AnnotationSpec) GetCreateTime() *timestamppb.Timestamp

func (*AnnotationSpec) GetDisplayName 

func (x *AnnotationSpec) GetDisplayName() string

func (*AnnotationSpec) GetEtag 

func (x *AnnotationSpec) GetEtag() string

func (*AnnotationSpec) GetName 

func (x *AnnotationSpec) GetName() string

func (*AnnotationSpec) GetUpdateTime 

func (x *AnnotationSpec) GetUpdateTime() *timestamppb.Timestamp

func (*AnnotationSpec) ProtoMessage 

func (*AnnotationSpec) ProtoMessage()

func (*AnnotationSpec) ProtoReflect 

func (x *AnnotationSpec) ProtoReflect() protoreflect.Message

func (*AnnotationSpec) Reset 

func (x *AnnotationSpec) Reset()

func (*AnnotationSpec) String 

func (x *AnnotationSpec) String() string

type Artifact 

type Artifact struct {

	// Output only. The resource name of the Artifact.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided display name of the Artifact.
	// May be up to 128 Unicode characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The uniform resource identifier of the artifact file.
	// May be empty if there is no actual artifact file.
	Uri string `protobuf:"bytes,6,opt,name=uri,proto3" json:"uri,omitempty"`
	// An eTag used to perform consistent read-modify-write updates. If not set, a
	// blind "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Artifacts.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Artifact (System
	// labels are excluded).
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Output only. Timestamp when this Artifact was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Artifact was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The state of this Artifact. This is a property of the Artifact, and does
	// not imply or capture any ongoing process. This property is managed by
	// clients (such as Vertex Pipelines), and the system does not prescribe
	// or check the validity of state transitions.
	State Artifact_State `protobuf:"varint,13,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.Artifact_State" json:"state,omitempty"`
	// The title of the schema describing the metadata.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaTitle string `protobuf:"bytes,14,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
	// The version of the schema in schema_name to use.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaVersion string `protobuf:"bytes,15,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Properties of the Artifact.
	Metadata *structpb.Struct `protobuf:"bytes,16,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Description of the Artifact
	Description string `protobuf:"bytes,17,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general artifact.

func (*Artifact) Descriptor deprecated 

func (*Artifact) Descriptor() ([]byte, []int)

Deprecated: Use Artifact.ProtoReflect.Descriptor instead.

func (*Artifact) GetCreateTime 

func (x *Artifact) GetCreateTime() *timestamppb.Timestamp

func (*Artifact) GetDescription 

func (x *Artifact) GetDescription() string

func (*Artifact) GetDisplayName 

func (x *Artifact) GetDisplayName() string

func (*Artifact) GetEtag 

func (x *Artifact) GetEtag() string

func (*Artifact) GetLabels 

func (x *Artifact) GetLabels() map[string]string

func (*Artifact) GetMetadata 

func (x *Artifact) GetMetadata() *structpb.Struct

func (*Artifact) GetName 

func (x *Artifact) GetName() string

func (*Artifact) GetSchemaTitle 

func (x *Artifact) GetSchemaTitle() string

func (*Artifact) GetSchemaVersion 

func (x *Artifact) GetSchemaVersion() string

func (*Artifact) GetState 

func (x *Artifact) GetState() Artifact_State

func (*Artifact) GetUpdateTime 

func (x *Artifact) GetUpdateTime() *timestamppb.Timestamp

func (*Artifact) GetUri 

func (x *Artifact) GetUri() string

func (*Artifact) ProtoMessage 

func (*Artifact) ProtoMessage()

func (*Artifact) ProtoReflect 

func (x *Artifact) ProtoReflect() protoreflect.Message

func (*Artifact) Reset 

func (x *Artifact) Reset()

func (*Artifact) String 

func (x *Artifact) String() string

type Artifact_State 

type Artifact_State int32

Describes the state of the Artifact. 

const (
	// Unspecified state for the Artifact.
	Artifact_STATE_UNSPECIFIED Artifact_State = 0
	// A state used by systems like Vertex Pipelines to indicate that the
	// underlying data item represented by this Artifact is being created.
	Artifact_PENDING Artifact_State = 1
	// A state indicating that the Artifact should exist, unless something
	// external to the system deletes it.
	Artifact_LIVE Artifact_State = 2
)

func (Artifact_State) Descriptor 

func (Artifact_State) Descriptor() protoreflect.EnumDescriptor

func (Artifact_State) Enum 

func (x Artifact_State) Enum() *Artifact_State

func (Artifact_State) EnumDescriptor deprecated 

func (Artifact_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Artifact_State.Descriptor instead.

func (Artifact_State) Number 

func (x Artifact_State) Number() protoreflect.EnumNumber

func (Artifact_State) String 

func (x Artifact_State) String() string

func (Artifact_State) Type 

func (Artifact_State) Type() protoreflect.EnumType

type Attribution 

type Attribution struct {

	// Output only. Model predicted output if the input instance is constructed from the
	// baselines of all the features defined in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
	// The field name of the output is determined by the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
	//
	// If the Model's predicted output has multiple dimensions (rank > 1), this is
	// the value in the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
	//
	// If there are multiple baselines, their output values are averaged.
	BaselineOutputValue float64 `protobuf:"fixed64,1,opt,name=baseline_output_value,json=baselineOutputValue,proto3" json:"baseline_output_value,omitempty"`
	// Output only. Model predicted output on the corresponding [explanation
	// instance][ExplainRequest.instances]. The field name of the output is
	// determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
	//
	// If the Model predicted output has multiple dimensions, this is the value in
	// the output located by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
	InstanceOutputValue float64 `protobuf:"fixed64,2,opt,name=instance_output_value,json=instanceOutputValue,proto3" json:"instance_output_value,omitempty"`
	// Output only. Attributions of each explained feature. Features are extracted from
	// the [prediction instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] according to
	// [explanation metadata for inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
	//
	// The value is a struct, whose keys are the name of the feature. The values
	// are how much the feature in the [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
	// contributed to the predicted result.
	//
	// The format of the value is determined by the feature's input format:
	//
	//   * If the feature is a scalar value, the attribution value is a
	//     [floating number][google.protobuf.Value.number_value].
	//
	//   * If the feature is an array of scalar values, the attribution value is
	//     an [array][google.protobuf.Value.list_value].
	//
	//   * If the feature is a struct, the attribution value is a
	//     [struct][google.protobuf.Value.struct_value]. The keys in the
	//     attribution value struct are the same as the keys in the feature
	//     struct. The formats of the values in the attribution struct are
	//     determined by the formats of the values in the feature struct.
	//
	// The [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri] field,
	// pointed to by the [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of the
	// [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object, points to the schema file that
	// describes the features and their attribution values (if it is populated).
	FeatureAttributions *structpb.Value `protobuf:"bytes,3,opt,name=feature_attributions,json=featureAttributions,proto3" json:"feature_attributions,omitempty"`
	// Output only. The index that locates the explained prediction output.
	//
	// If the prediction output is a scalar value, output_index is not populated.
	// If the prediction output has multiple dimensions, the length of the
	// output_index list is the same as the number of dimensions of the output.
	// The i-th element in output_index is the element index of the i-th dimension
	// of the output vector. Indices start from 0.
	OutputIndex []int32 `protobuf:"varint,4,rep,packed,name=output_index,json=outputIndex,proto3" json:"output_index,omitempty"`
	// Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
	// the predicted class name by a multi-classification Model.
	//
	// This field is only populated iff the Model predicts display names as a
	// separate field along with the explained output. The predicted display name
	// must has the same shape of the explained output, and can be located using
	// output_index.
	OutputDisplayName string `protobuf:"bytes,5,opt,name=output_display_name,json=outputDisplayName,proto3" json:"output_display_name,omitempty"`
	// Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
	// explanation method. Lower value means more precise attributions.
	//
	// * For Sampled Shapley
	// [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
	// increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
	// the error.
	// * For Integrated Gradients
	// [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
	// increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
	// reduce the error.
	// * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
	// increasing
	// [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
	//
	// See [this introduction](/vertex-ai/docs/explainable-ai/overview)
	// for more information.
	ApproximationError float64 `protobuf:"fixed64,6,opt,name=approximation_error,json=approximationError,proto3" json:"approximation_error,omitempty"`
	// Output only. Name of the explain output. Specified as the key in
	// [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
	OutputName string `protobuf:"bytes,7,opt,name=output_name,json=outputName,proto3" json:"output_name,omitempty"`
	// contains filtered or unexported fields
}

Attribution that explains a particular prediction output.

func (*Attribution) Descriptor deprecated 

func (*Attribution) Descriptor() ([]byte, []int)

Deprecated: Use Attribution.ProtoReflect.Descriptor instead.

func (*Attribution) GetApproximationError 

func (x *Attribution) GetApproximationError() float64

func (*Attribution) GetBaselineOutputValue 

func (x *Attribution) GetBaselineOutputValue() float64

func (*Attribution) GetFeatureAttributions 

func (x *Attribution) GetFeatureAttributions() *structpb.Value

func (*Attribution) GetInstanceOutputValue 

func (x *Attribution) GetInstanceOutputValue() float64

func (*Attribution) GetOutputDisplayName 

func (x *Attribution) GetOutputDisplayName() string

func (*Attribution) GetOutputIndex 

func (x *Attribution) GetOutputIndex() []int32

func (*Attribution) GetOutputName 

func (x *Attribution) GetOutputName() string

func (*Attribution) ProtoMessage 

func (*Attribution) ProtoMessage()

func (*Attribution) ProtoReflect 

func (x *Attribution) ProtoReflect() protoreflect.Message

func (*Attribution) Reset 

func (x *Attribution) Reset()

func (*Attribution) String 

func (x *Attribution) String() string

type AutomaticResources 

type AutomaticResources struct {

	// Immutable. The minimum number of replicas this DeployedModel will be always deployed
	// on. If traffic against it increases, it may dynamically be deployed onto
	// more replicas up to [max_replica_count][google.cloud.aiplatform.v1beta1.AutomaticResources.max_replica_count], and as traffic decreases, some
	// of these extra replicas may be freed.
	// If the requested value is too large, the deployment will error.
	MinReplicaCount int32 `protobuf:"varint,1,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
	// Immutable. The maximum number of replicas this DeployedModel may be deployed on when
	// the traffic against it increases. If the requested value is too large,
	// the deployment will error, but if deployment succeeds then the ability
	// to scale the model to that many replicas is guaranteed (barring service
	// outages). If traffic against the DeployedModel increases beyond what its
	// replicas at maximum may handle, a portion of the traffic will be dropped.
	// If this value is not provided, a no upper bound for scaling under heavy
	// traffic will be assume, though Vertex AI may be unable to scale beyond
	// certain replica number.
	MaxReplicaCount int32 `protobuf:"varint,2,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration. Each Model supporting these resources documents its specific guidelines.

func (*AutomaticResources) Descriptor deprecated 

func (*AutomaticResources) Descriptor() ([]byte, []int)

Deprecated: Use AutomaticResources.ProtoReflect.Descriptor instead.

func (*AutomaticResources) GetMaxReplicaCount 

func (x *AutomaticResources) GetMaxReplicaCount() int32

func (*AutomaticResources) GetMinReplicaCount 

func (x *AutomaticResources) GetMinReplicaCount() int32

func (*AutomaticResources) ProtoMessage 

func (*AutomaticResources) ProtoMessage()

func (*AutomaticResources) ProtoReflect 

func (x *AutomaticResources) ProtoReflect() protoreflect.Message

func (*AutomaticResources) Reset 

func (x *AutomaticResources) Reset()

func (*AutomaticResources) String 

func (x *AutomaticResources) String() string

type AutoscalingMetricSpec 

type AutoscalingMetricSpec struct {

	// Required. The resource metric name.
	// Supported metrics:
	//
	// * For Online Prediction:
	// * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle`
	// * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
	MetricName string `protobuf:"bytes,1,opt,name=metric_name,json=metricName,proto3" json:"metric_name,omitempty"`
	// The target resource utilization in percentage (1% - 100%) for the given
	// metric; once the real usage deviates from the target by a certain
	// percentage, the machine replicas change. The default value is 60
	// (representing 60%) if not provided.
	Target int32 `protobuf:"varint,2,opt,name=target,proto3" json:"target,omitempty"`
	// contains filtered or unexported fields
}

The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.

func (*AutoscalingMetricSpec) Descriptor deprecated 

func (*AutoscalingMetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use AutoscalingMetricSpec.ProtoReflect.Descriptor instead.

func (*AutoscalingMetricSpec) GetMetricName 

func (x *AutoscalingMetricSpec) GetMetricName() string

func (*AutoscalingMetricSpec) GetTarget 

func (x *AutoscalingMetricSpec) GetTarget() int32

func (*AutoscalingMetricSpec) ProtoMessage 

func (*AutoscalingMetricSpec) ProtoMessage()

func (*AutoscalingMetricSpec) ProtoReflect 

func (x *AutoscalingMetricSpec) ProtoReflect() protoreflect.Message

func (*AutoscalingMetricSpec) Reset 

func (x *AutoscalingMetricSpec) Reset()

func (*AutoscalingMetricSpec) String 

func (x *AutoscalingMetricSpec) String() string

type AvroSource 

type AvroSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

The storage details for Avro input content.

func (*AvroSource) Descriptor deprecated 

func (*AvroSource) Descriptor() ([]byte, []int)

Deprecated: Use AvroSource.ProtoReflect.Descriptor instead.

func (*AvroSource) GetGcsSource 

func (x *AvroSource) GetGcsSource() *GcsSource

func (*AvroSource) ProtoMessage 

func (*AvroSource) ProtoMessage()

func (*AvroSource) ProtoReflect 

func (x *AvroSource) ProtoReflect() protoreflect.Message

func (*AvroSource) Reset 

func (x *AvroSource) Reset()

func (*AvroSource) String 

func (x *AvroSource) String() string

type BatchCreateFeaturesOperationMetadata 

type BatchCreateFeaturesOperationMetadata struct {

	// Operation metadata for Feature.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform batch create Features.

func (*BatchCreateFeaturesOperationMetadata) Descriptor deprecated 

func (*BatchCreateFeaturesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesOperationMetadata) GetGenericMetadata 

func (x *BatchCreateFeaturesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchCreateFeaturesOperationMetadata) ProtoMessage 

func (*BatchCreateFeaturesOperationMetadata) ProtoMessage()

func (*BatchCreateFeaturesOperationMetadata) ProtoReflect 

func (x *BatchCreateFeaturesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesOperationMetadata) Reset 

func (x *BatchCreateFeaturesOperationMetadata) Reset()

func (*BatchCreateFeaturesOperationMetadata) String 

func (x *BatchCreateFeaturesOperationMetadata) String() string

type BatchCreateFeaturesRequest 

type BatchCreateFeaturesRequest struct {

	// Required. The resource name of the EntityType to create the batch of Features under.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request message specifying the Features to create. All Features must be
	// created under the same parent EntityType. The `parent` field in each child
	// request message can be omitted. If `parent` is set in a child request, then
	// the value must match the `parent` value in this request message.
	Requests []*CreateFeatureRequest `protobuf:"bytes,2,rep,name=requests,proto3" json:"requests,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].

func (*BatchCreateFeaturesRequest) Descriptor deprecated 

func (*BatchCreateFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesRequest.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesRequest) GetParent 

func (x *BatchCreateFeaturesRequest) GetParent() string

func (*BatchCreateFeaturesRequest) GetRequests 

func (x *BatchCreateFeaturesRequest) GetRequests() []*CreateFeatureRequest

func (*BatchCreateFeaturesRequest) ProtoMessage 

func (*BatchCreateFeaturesRequest) ProtoMessage()

func (*BatchCreateFeaturesRequest) ProtoReflect 

func (x *BatchCreateFeaturesRequest) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesRequest) Reset 

func (x *BatchCreateFeaturesRequest) Reset()

func (*BatchCreateFeaturesRequest) String 

func (x *BatchCreateFeaturesRequest) String() string

type BatchCreateFeaturesResponse 

type BatchCreateFeaturesResponse struct {

	// The Features created.
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].

func (*BatchCreateFeaturesResponse) Descriptor deprecated 

func (*BatchCreateFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchCreateFeaturesResponse.ProtoReflect.Descriptor instead.

func (*BatchCreateFeaturesResponse) GetFeatures 

func (x *BatchCreateFeaturesResponse) GetFeatures() []*Feature

func (*BatchCreateFeaturesResponse) ProtoMessage 

func (*BatchCreateFeaturesResponse) ProtoMessage()

func (*BatchCreateFeaturesResponse) ProtoReflect 

func (x *BatchCreateFeaturesResponse) ProtoReflect() protoreflect.Message

func (*BatchCreateFeaturesResponse) Reset 

func (x *BatchCreateFeaturesResponse) Reset()

func (*BatchCreateFeaturesResponse) String 

func (x *BatchCreateFeaturesResponse) String() string

type BatchDedicatedResources 

type BatchDedicatedResources struct {

	// Required. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Immutable. The number of machine replicas used at the start of the batch operation.
	// If not set, Vertex AI decides starting number, not greater than
	// [max_replica_count][google.cloud.aiplatform.v1beta1.BatchDedicatedResources.max_replica_count]
	StartingReplicaCount int32 `protobuf:"varint,2,opt,name=starting_replica_count,json=startingReplicaCount,proto3" json:"starting_replica_count,omitempty"`
	// Immutable. The maximum number of machine replicas the batch operation may be scaled
	// to. The default value is 10.
	MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// contains filtered or unexported fields
}

A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.

func (*BatchDedicatedResources) Descriptor deprecated 

func (*BatchDedicatedResources) Descriptor() ([]byte, []int)

Deprecated: Use BatchDedicatedResources.ProtoReflect.Descriptor instead.

func (*BatchDedicatedResources) GetMachineSpec 

func (x *BatchDedicatedResources) GetMachineSpec() *MachineSpec

func (*BatchDedicatedResources) GetMaxReplicaCount 

func (x *BatchDedicatedResources) GetMaxReplicaCount() int32

func (*BatchDedicatedResources) GetStartingReplicaCount 

func (x *BatchDedicatedResources) GetStartingReplicaCount() int32

func (*BatchDedicatedResources) ProtoMessage 

func (*BatchDedicatedResources) ProtoMessage()

func (*BatchDedicatedResources) ProtoReflect 

func (x *BatchDedicatedResources) ProtoReflect() protoreflect.Message

func (*BatchDedicatedResources) Reset 

func (x *BatchDedicatedResources) Reset()

func (*BatchDedicatedResources) String 

func (x *BatchDedicatedResources) String() string

type BatchMigrateResourcesOperationMetadata 

type BatchMigrateResourcesOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Partial results that reflect the latest migration operation progress.
	PartialResults []*BatchMigrateResourcesOperationMetadata_PartialResult `protobuf:"bytes,2,rep,name=partial_results,json=partialResults,proto3" json:"partial_results,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesOperationMetadata) Descriptor deprecated 

func (*BatchMigrateResourcesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesOperationMetadata) GetGenericMetadata 

func (x *BatchMigrateResourcesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchMigrateResourcesOperationMetadata) GetPartialResults 

func (x *BatchMigrateResourcesOperationMetadata) GetPartialResults() []*BatchMigrateResourcesOperationMetadata_PartialResult

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage 

func (*BatchMigrateResourcesOperationMetadata) ProtoMessage()

func (*BatchMigrateResourcesOperationMetadata) ProtoReflect 

func (x *BatchMigrateResourcesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesOperationMetadata) Reset 

func (x *BatchMigrateResourcesOperationMetadata) Reset()

func (*BatchMigrateResourcesOperationMetadata) String 

func (x *BatchMigrateResourcesOperationMetadata) String() string

type BatchMigrateResourcesOperationMetadata_PartialResult 

type BatchMigrateResourcesOperationMetadata_PartialResult struct {

	// If the resource's migration is ongoing, none of the result will be set.
	// If the resource's migration is finished, either error or one of the
	// migrated resource name will be filled.
	//
	// Types that are assignable to Result:
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Error
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Model
	//	*BatchMigrateResourcesOperationMetadata_PartialResult_Dataset
	Result isBatchMigrateResourcesOperationMetadata_PartialResult_Result `protobuf_oneof:"result"`
	// It's the same as the value in
	// [MigrateResourceRequest.migrate_resource_requests][].
	Request *MigrateResourceRequest `protobuf:"bytes,1,opt,name=request,proto3" json:"request,omitempty"`
	// contains filtered or unexported fields
}

Represents a partial result in batch migration operation for one MigrateResourceRequest[google.cloud.aiplatform.v1beta1.MigrateResourceRequest].

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor deprecated 

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesOperationMetadata_PartialResult.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetDataset() string

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetError 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetError() *status.Status

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetModel 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetModel() string

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) GetRequest() *MigrateResourceRequest

func (*BatchMigrateResourcesOperationMetadata_PartialResult) GetResult 

func (m *BatchMigrateResourcesOperationMetadata_PartialResult) GetResult() isBatchMigrateResourcesOperationMetadata_PartialResult_Result

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage 

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoMessage()

func (*BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesOperationMetadata_PartialResult) Reset 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) Reset()

func (*BatchMigrateResourcesOperationMetadata_PartialResult) String 

func (x *BatchMigrateResourcesOperationMetadata_PartialResult) String() string

type BatchMigrateResourcesOperationMetadata_PartialResult_Dataset 

type BatchMigrateResourcesOperationMetadata_PartialResult_Dataset struct {
	// Migrated dataset resource name.
	Dataset string `protobuf:"bytes,4,opt,name=dataset,proto3,oneof"`
}

type BatchMigrateResourcesOperationMetadata_PartialResult_Error 

type BatchMigrateResourcesOperationMetadata_PartialResult_Error struct {
	// The error result of the migration request in case of failure.
	Error *status.Status `protobuf:"bytes,2,opt,name=error,proto3,oneof"`
}

type BatchMigrateResourcesOperationMetadata_PartialResult_Model 

type BatchMigrateResourcesOperationMetadata_PartialResult_Model struct {
	// Migrated model resource name.
	Model string `protobuf:"bytes,3,opt,name=model,proto3,oneof"`
}

type BatchMigrateResourcesRequest 

type BatchMigrateResourcesRequest struct {

	// Required. The location of the migrated resource will live in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The request messages specifying the resources to migrate.
	// They must be in the same location as the destination.
	// Up to 50 resources can be migrated in one batch.
	MigrateResourceRequests []*MigrateResourceRequest `` /* 132-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesRequest) Descriptor deprecated 

func (*BatchMigrateResourcesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesRequest.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesRequest) GetMigrateResourceRequests 

func (x *BatchMigrateResourcesRequest) GetMigrateResourceRequests() []*MigrateResourceRequest

func (*BatchMigrateResourcesRequest) GetParent 

func (x *BatchMigrateResourcesRequest) GetParent() string

func (*BatchMigrateResourcesRequest) ProtoMessage 

func (*BatchMigrateResourcesRequest) ProtoMessage()

func (*BatchMigrateResourcesRequest) ProtoReflect 

func (x *BatchMigrateResourcesRequest) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesRequest) Reset 

func (x *BatchMigrateResourcesRequest) Reset()

func (*BatchMigrateResourcesRequest) String 

func (x *BatchMigrateResourcesRequest) String() string

type BatchMigrateResourcesResponse 

type BatchMigrateResourcesResponse struct {

	// Successfully migrated resources.
	MigrateResourceResponses []*MigrateResourceResponse `` /* 135-byte string literal not displayed */
	// contains filtered or unexported fields
}

Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].

func (*BatchMigrateResourcesResponse) Descriptor deprecated 

func (*BatchMigrateResourcesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchMigrateResourcesResponse.ProtoReflect.Descriptor instead.

func (*BatchMigrateResourcesResponse) GetMigrateResourceResponses 

func (x *BatchMigrateResourcesResponse) GetMigrateResourceResponses() []*MigrateResourceResponse

func (*BatchMigrateResourcesResponse) ProtoMessage 

func (*BatchMigrateResourcesResponse) ProtoMessage()

func (*BatchMigrateResourcesResponse) ProtoReflect 

func (x *BatchMigrateResourcesResponse) ProtoReflect() protoreflect.Message

func (*BatchMigrateResourcesResponse) Reset 

func (x *BatchMigrateResourcesResponse) Reset()

func (*BatchMigrateResourcesResponse) String 

func (x *BatchMigrateResourcesResponse) String() string

type BatchPredictionJob 

type BatchPredictionJob struct {

	// Output only. Resource name of the BatchPredictionJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of this BatchPredictionJob.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. The name of the Model that produces the predictions via this job,
	// must share the same ancestor Location.
	// Starting this job has no impact on any existing deployments of the Model
	// and their resources.
	Model string `protobuf:"bytes,3,opt,name=model,proto3" json:"model,omitempty"`
	// Required. Input configuration of the instances on which predictions are performed.
	// The schema of any single instance may be specified via
	// the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
	InputConfig *BatchPredictionJob_InputConfig `protobuf:"bytes,4,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"`
	// The parameters that govern the predictions. The schema of the parameters
	// may be specified via the [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
	ModelParameters *structpb.Value `protobuf:"bytes,5,opt,name=model_parameters,json=modelParameters,proto3" json:"model_parameters,omitempty"`
	// Required. The Configuration specifying where output predictions should
	// be written.
	// The schema of any single prediction may be specified as a concatenation
	// of [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
	// and
	// [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
	OutputConfig *BatchPredictionJob_OutputConfig `protobuf:"bytes,6,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
	// The config of resources used by the Model during the batch prediction. If
	// the Model [supports][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types]
	// DEDICATED_RESOURCES this config may be provided (and the job will use these
	// resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
	// must be provided.
	DedicatedResources *BatchDedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3" json:"dedicated_resources,omitempty"`
	// Immutable. Parameters configuring the batch behavior. Currently only applicable when
	// [dedicated_resources][google.cloud.aiplatform.v1beta1.BatchPredictionJob.dedicated_resources] are used (in other cases Vertex AI does
	// the tuning itself).
	ManualBatchTuningParameters *ManualBatchTuningParameters `` /* 146-byte string literal not displayed */
	// Generate explanation with the batch prediction results.
	//
	// When set to `true`, the batch prediction output changes based on the
	// `predictions_format` field of the
	// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
	//
	//  * `bigquery`: output includes a column named `explanation`. The value
	//    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
	//  * `jsonl`: The JSON objects on each line include an additional entry
	//    keyed `explanation`. The value of the entry is a JSON object that
	//    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
	//  * `csv`: Generating explanations for CSV format is not supported.
	//
	// If this field is set to true, either the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] or
	// [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] must be populated.
	GenerateExplanation bool `protobuf:"varint,23,opt,name=generate_explanation,json=generateExplanation,proto3" json:"generate_explanation,omitempty"`
	// Explanation configuration for this BatchPredictionJob. Can be
	// specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
	//
	// This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
	// [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
	// [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
	// the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,25,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// Output only. Information further describing the output of this job.
	OutputInfo *BatchPredictionJob_OutputInfo `protobuf:"bytes,9,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.JobState" json:"state,omitempty"`
	// Output only. Only populated when the job's state is JOB_STATE_FAILED or
	// JOB_STATE_CANCELLED.
	Error *status.Status `protobuf:"bytes,11,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. Partial failures encountered.
	// For example, single files that can't be read.
	// This field never exceeds 20 entries.
	// Status details fields contain standard GCP error details.
	PartialFailures []*status.Status `protobuf:"bytes,12,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
	// Output only. Information about resources that had been consumed by this job.
	// Provided in real time at best effort basis, as well as a final value
	// once the job completes.
	//
	// Note: This field currently may be not populated for batch predictions that
	// use AutoML Models.
	ResourcesConsumed *ResourcesConsumed `protobuf:"bytes,13,opt,name=resources_consumed,json=resourcesConsumed,proto3" json:"resources_consumed,omitempty"`
	// Output only. Statistics on completed and failed prediction instances.
	CompletionStats *CompletionStats `protobuf:"bytes,14,opt,name=completion_stats,json=completionStats,proto3" json:"completion_stats,omitempty"`
	// Output only. Time when the BatchPredictionJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,15,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the BatchPredictionJob for the first time entered the
	// `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,16,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the BatchPredictionJob entered any of the following states:
	// `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,17,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the BatchPredictionJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,18,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize BatchPredictionJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Customer-managed encryption key options for a BatchPredictionJob. If this
	// is set, then all resources created by the BatchPredictionJob will be
	// encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

A job that uses a Model[google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

func (*BatchPredictionJob) Descriptor deprecated 

func (*BatchPredictionJob) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob) GetCompletionStats 

func (x *BatchPredictionJob) GetCompletionStats() *CompletionStats

func (*BatchPredictionJob) GetCreateTime 

func (x *BatchPredictionJob) GetCreateTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetDedicatedResources 

func (x *BatchPredictionJob) GetDedicatedResources() *BatchDedicatedResources

func (*BatchPredictionJob) GetDisplayName 

func (x *BatchPredictionJob) GetDisplayName() string

func (*BatchPredictionJob) GetEncryptionSpec 

func (x *BatchPredictionJob) GetEncryptionSpec() *EncryptionSpec

func (*BatchPredictionJob) GetEndTime 

func (x *BatchPredictionJob) GetEndTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetError 

func (x *BatchPredictionJob) GetError() *status.Status

func (*BatchPredictionJob) GetExplanationSpec 

func (x *BatchPredictionJob) GetExplanationSpec() *ExplanationSpec

func (*BatchPredictionJob) GetGenerateExplanation 

func (x *BatchPredictionJob) GetGenerateExplanation() bool

func (*BatchPredictionJob) GetInputConfig 

func (x *BatchPredictionJob) GetInputConfig() *BatchPredictionJob_InputConfig

func (*BatchPredictionJob) GetLabels 

func (x *BatchPredictionJob) GetLabels() map[string]string

func (*BatchPredictionJob) GetManualBatchTuningParameters 

func (x *BatchPredictionJob) GetManualBatchTuningParameters() *ManualBatchTuningParameters

func (*BatchPredictionJob) GetModel 

func (x *BatchPredictionJob) GetModel() string

func (*BatchPredictionJob) GetModelParameters 

func (x *BatchPredictionJob) GetModelParameters() *structpb.Value

func (*BatchPredictionJob) GetName 

func (x *BatchPredictionJob) GetName() string

func (*BatchPredictionJob) GetOutputConfig 

func (x *BatchPredictionJob) GetOutputConfig() *BatchPredictionJob_OutputConfig

func (*BatchPredictionJob) GetOutputInfo 

func (x *BatchPredictionJob) GetOutputInfo() *BatchPredictionJob_OutputInfo

func (*BatchPredictionJob) GetPartialFailures 

func (x *BatchPredictionJob) GetPartialFailures() []*status.Status

func (*BatchPredictionJob) GetResourcesConsumed 

func (x *BatchPredictionJob) GetResourcesConsumed() *ResourcesConsumed

func (*BatchPredictionJob) GetStartTime 

func (x *BatchPredictionJob) GetStartTime() *timestamppb.Timestamp

func (*BatchPredictionJob) GetState 

func (x *BatchPredictionJob) GetState() JobState

func (*BatchPredictionJob) GetUpdateTime 

func (x *BatchPredictionJob) GetUpdateTime() *timestamppb.Timestamp

func (*BatchPredictionJob) ProtoMessage 

func (*BatchPredictionJob) ProtoMessage()

func (*BatchPredictionJob) ProtoReflect 

func (x *BatchPredictionJob) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob) Reset 

func (x *BatchPredictionJob) Reset()

func (*BatchPredictionJob) String 

func (x *BatchPredictionJob) String() string

type BatchPredictionJob_InputConfig 

type BatchPredictionJob_InputConfig struct {

	// Required. The source of the input.
	//
	// Types that are assignable to Source:
	//	*BatchPredictionJob_InputConfig_GcsSource
	//	*BatchPredictionJob_InputConfig_BigquerySource
	Source isBatchPredictionJob_InputConfig_Source `protobuf_oneof:"source"`
	// Required. The format in which instances are given, must be one of the
	// [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
	// [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats].
	InstancesFormat string `protobuf:"bytes,1,opt,name=instances_format,json=instancesFormat,proto3" json:"instances_format,omitempty"`
	// contains filtered or unexported fields
}

Configures the input to BatchPredictionJob[google.cloud.aiplatform.v1beta1.BatchPredictionJob]. See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] for Model's supported input formats, and how instances should be expressed via any of them.

func (*BatchPredictionJob_InputConfig) Descriptor deprecated 

func (*BatchPredictionJob_InputConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_InputConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_InputConfig) GetBigquerySource 

func (x *BatchPredictionJob_InputConfig) GetBigquerySource() *BigQuerySource

func (*BatchPredictionJob_InputConfig) GetGcsSource 

func (x *BatchPredictionJob_InputConfig) GetGcsSource() *GcsSource

func (*BatchPredictionJob_InputConfig) GetInstancesFormat 

func (x *BatchPredictionJob_InputConfig) GetInstancesFormat() string

func (*BatchPredictionJob_InputConfig) GetSource 

func (m *BatchPredictionJob_InputConfig) GetSource() isBatchPredictionJob_InputConfig_Source

func (*BatchPredictionJob_InputConfig) ProtoMessage 

func (*BatchPredictionJob_InputConfig) ProtoMessage()

func (*BatchPredictionJob_InputConfig) ProtoReflect 

func (x *BatchPredictionJob_InputConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_InputConfig) Reset 

func (x *BatchPredictionJob_InputConfig) Reset()

func (*BatchPredictionJob_InputConfig) String 

func (x *BatchPredictionJob_InputConfig) String() string

type BatchPredictionJob_InputConfig_BigquerySource 

type BatchPredictionJob_InputConfig_BigquerySource struct {
	// The BigQuery location of the input table.
	// The schema of the table should be in the format described by the given
	// context OpenAPI Schema, if one is provided. The table may contain
	// additional columns that are not described by the schema, and they will
	// be ignored.
	BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

type BatchPredictionJob_InputConfig_GcsSource 

type BatchPredictionJob_InputConfig_GcsSource struct {
	// The Cloud Storage location for the input instances.
	GcsSource *GcsSource `protobuf:"bytes,2,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type BatchPredictionJob_OutputConfig 

type BatchPredictionJob_OutputConfig struct {

	// Required. The destination of the output.
	//
	// Types that are assignable to Destination:
	//	*BatchPredictionJob_OutputConfig_GcsDestination
	//	*BatchPredictionJob_OutputConfig_BigqueryDestination
	Destination isBatchPredictionJob_OutputConfig_Destination `protobuf_oneof:"destination"`
	// Required. The format in which Vertex AI gives the predictions, must be one of the
	// [Model's][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model]
	// [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
	PredictionsFormat string `protobuf:"bytes,1,opt,name=predictions_format,json=predictionsFormat,proto3" json:"predictions_format,omitempty"`
	// contains filtered or unexported fields
}

Configures the output of BatchPredictionJob[google.cloud.aiplatform.v1beta1.BatchPredictionJob]. See [Model.supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats] for supported output formats, and how predictions are expressed via any of them.

func (*BatchPredictionJob_OutputConfig) Descriptor deprecated 

func (*BatchPredictionJob_OutputConfig) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_OutputConfig.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_OutputConfig) GetBigqueryDestination 

func (x *BatchPredictionJob_OutputConfig) GetBigqueryDestination() *BigQueryDestination

func (*BatchPredictionJob_OutputConfig) GetDestination 

func (m *BatchPredictionJob_OutputConfig) GetDestination() isBatchPredictionJob_OutputConfig_Destination

func (*BatchPredictionJob_OutputConfig) GetGcsDestination 

func (x *BatchPredictionJob_OutputConfig) GetGcsDestination() *GcsDestination

func (*BatchPredictionJob_OutputConfig) GetPredictionsFormat 

func (x *BatchPredictionJob_OutputConfig) GetPredictionsFormat() string

func (*BatchPredictionJob_OutputConfig) ProtoMessage 

func (*BatchPredictionJob_OutputConfig) ProtoMessage()

func (*BatchPredictionJob_OutputConfig) ProtoReflect 

func (x *BatchPredictionJob_OutputConfig) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_OutputConfig) Reset 

func (x *BatchPredictionJob_OutputConfig) Reset()

func (*BatchPredictionJob_OutputConfig) String 

func (x *BatchPredictionJob_OutputConfig) String() string

type BatchPredictionJob_OutputConfig_BigqueryDestination 

type BatchPredictionJob_OutputConfig_BigqueryDestination struct {
	// The BigQuery project or dataset location where the output is to be
	// written to. If project is provided, a new dataset is created with name
	// `prediction_<model-display-name>_<job-create-time>`
	// where <model-display-name> is made
	// BigQuery-dataset-name compatible (for example, most special characters
	// become underscores), and timestamp is in
	// YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
	// two tables will be created, `predictions`, and `errors`.
	// If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
	// and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
	// defined then the tables have columns as follows: The `predictions`
	// table contains instances for which the prediction succeeded, it
	// has columns as per a concatenation of the Model's instance and
	// prediction schemata. The `errors` table contains rows for which the
	// prediction has failed, it has instance columns, as per the
	// instance schema, followed by a single "errors" column, which as values
	// has [`google.rpc.Status`](Status)
	// represented as a STRUCT, and containing only `code` and `message`.
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,3,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}

type BatchPredictionJob_OutputConfig_GcsDestination 

type BatchPredictionJob_OutputConfig_GcsDestination struct {
	// The Cloud Storage location of the directory where the output is
	// to be written to. In the given directory a new directory is created.
	// Its name is `prediction-<model-display-name>-<job-create-time>`,
	// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
	// Inside of it files `predictions_0001.<extension>`,
	// `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
	// are created where `<extension>` depends on chosen
	// [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format], and N may equal 0001 and depends on the total
	// number of successfully predicted instances.
	// If the Model has both [instance][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
	// and [prediction][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri] schemata
	// defined then each such file contains predictions as per the
	// [predictions_format][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.predictions_format].
	// If prediction for any instance failed (partially or completely), then
	// an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
	// `errors_N.<extension>` files are created (N depends on total number
	// of failed predictions). These files contain the failed instances,
	// as per their schema, followed by an additional `error` field which as
	// value has
	// [`google.rpc.Status`](Status)
	// containing only `code` and `message` fields.
	GcsDestination *GcsDestination `protobuf:"bytes,2,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
}

type BatchPredictionJob_OutputInfo 

type BatchPredictionJob_OutputInfo struct {

	// The output location into which prediction output is written.
	//
	// Types that are assignable to OutputLocation:
	//	*BatchPredictionJob_OutputInfo_GcsOutputDirectory
	//	*BatchPredictionJob_OutputInfo_BigqueryOutputDataset
	OutputLocation isBatchPredictionJob_OutputInfo_OutputLocation `protobuf_oneof:"output_location"`
	// contains filtered or unexported fields
}

Further describes this job's output. Supplements [output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].

func (*BatchPredictionJob_OutputInfo) Descriptor deprecated 

func (*BatchPredictionJob_OutputInfo) Descriptor() ([]byte, []int)

Deprecated: Use BatchPredictionJob_OutputInfo.ProtoReflect.Descriptor instead.

func (*BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset 

func (x *BatchPredictionJob_OutputInfo) GetBigqueryOutputDataset() string

func (*BatchPredictionJob_OutputInfo) GetGcsOutputDirectory 

func (x *BatchPredictionJob_OutputInfo) GetGcsOutputDirectory() string

func (*BatchPredictionJob_OutputInfo) GetOutputLocation 

func (m *BatchPredictionJob_OutputInfo) GetOutputLocation() isBatchPredictionJob_OutputInfo_OutputLocation

func (*BatchPredictionJob_OutputInfo) ProtoMessage 

func (*BatchPredictionJob_OutputInfo) ProtoMessage()

func (*BatchPredictionJob_OutputInfo) ProtoReflect 

func (x *BatchPredictionJob_OutputInfo) ProtoReflect() protoreflect.Message

func (*BatchPredictionJob_OutputInfo) Reset 

func (x *BatchPredictionJob_OutputInfo) Reset()

func (*BatchPredictionJob_OutputInfo) String 

func (x *BatchPredictionJob_OutputInfo) String() string

type BatchPredictionJob_OutputInfo_BigqueryOutputDataset 

type BatchPredictionJob_OutputInfo_BigqueryOutputDataset struct {
	// Output only. The path of the BigQuery dataset created, in
	// `bq://projectId.bqDatasetId`
	// format, into which the prediction output is written.
	BigqueryOutputDataset string `protobuf:"bytes,2,opt,name=bigquery_output_dataset,json=bigqueryOutputDataset,proto3,oneof"`
}

type BatchPredictionJob_OutputInfo_GcsOutputDirectory 

type BatchPredictionJob_OutputInfo_GcsOutputDirectory struct {
	// Output only. The full path of the Cloud Storage directory created, into which
	// the prediction output is written.
	GcsOutputDirectory string `protobuf:"bytes,1,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3,oneof"`
}

type BatchReadFeatureValuesOperationMetadata 

type BatchReadFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore batch read Features values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that batch reads Feature values.

func (*BatchReadFeatureValuesOperationMetadata) Descriptor deprecated 

func (*BatchReadFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesOperationMetadata) GetGenericMetadata 

func (x *BatchReadFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage 

func (*BatchReadFeatureValuesOperationMetadata) ProtoMessage()

func (*BatchReadFeatureValuesOperationMetadata) ProtoReflect 

func (x *BatchReadFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesOperationMetadata) Reset 

func (x *BatchReadFeatureValuesOperationMetadata) Reset()

func (*BatchReadFeatureValuesOperationMetadata) String 

func (x *BatchReadFeatureValuesOperationMetadata) String() string

type BatchReadFeatureValuesRequest 

type BatchReadFeatureValuesRequest struct {

	// Types that are assignable to ReadOption:
	//	*BatchReadFeatureValuesRequest_CsvReadInstances
	ReadOption isBatchReadFeatureValuesRequest_ReadOption `protobuf_oneof:"read_option"`
	// Required. The resource name of the Featurestore from which to query Feature values.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Featurestore string `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Required. Specifies output location and format.
	Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
	// Required. Specifies EntityType grouping Features to read values of and settings.
	// Each EntityType referenced in
	// [BatchReadFeatureValuesRequest.entity_type_specs] must have a column
	// specifying entity IDs in tha EntityType in
	// [BatchReadFeatureValuesRequest.request][] .
	EntityTypeSpecs []*BatchReadFeatureValuesRequest_EntityTypeSpec `protobuf:"bytes,7,rep,name=entity_type_specs,json=entityTypeSpecs,proto3" json:"entity_type_specs,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues]. (- Next Id: 6 -)

func (*BatchReadFeatureValuesRequest) Descriptor deprecated 

func (*BatchReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest) GetCsvReadInstances 

func (x *BatchReadFeatureValuesRequest) GetCsvReadInstances() *CsvSource

func (*BatchReadFeatureValuesRequest) GetDestination 

func (x *BatchReadFeatureValuesRequest) GetDestination() *FeatureValueDestination

func (*BatchReadFeatureValuesRequest) GetEntityTypeSpecs 

func (x *BatchReadFeatureValuesRequest) GetEntityTypeSpecs() []*BatchReadFeatureValuesRequest_EntityTypeSpec

func (*BatchReadFeatureValuesRequest) GetFeaturestore 

func (x *BatchReadFeatureValuesRequest) GetFeaturestore() string

func (*BatchReadFeatureValuesRequest) GetReadOption 

func (m *BatchReadFeatureValuesRequest) GetReadOption() isBatchReadFeatureValuesRequest_ReadOption

func (*BatchReadFeatureValuesRequest) ProtoMessage 

func (*BatchReadFeatureValuesRequest) ProtoMessage()

func (*BatchReadFeatureValuesRequest) ProtoReflect 

func (x *BatchReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest) Reset 

func (x *BatchReadFeatureValuesRequest) Reset()

func (*BatchReadFeatureValuesRequest) String 

func (x *BatchReadFeatureValuesRequest) String() string

type BatchReadFeatureValuesRequest_CsvReadInstances 

type BatchReadFeatureValuesRequest_CsvReadInstances struct {
	// Each read instance consists of exactly one read timestamp and one or more
	// entity IDs identifying entities of the corresponding EntityTypes whose
	// Features are requested.
	//
	// Each output instance contains Feature values of requested entities
	// concatenated together as of the read time.
	//
	// An example read instance may be `foo_entity_id, bar_entity_id,
	// 2020-01-01T10:00:00.123Z`.
	//
	// An example output instance may be `foo_entity_id, bar_entity_id,
	// 2020-01-01T10:00:00.123Z, foo_entity_feature1_value,
	// bar_entity_feature2_value`.
	//
	// Timestamp in each read instance must be millisecond-aligned.
	//
	// `csv_read_instances` are read instances stored in a plain-text CSV file.
	// The header should be:
	//     [ENTITY_TYPE_ID1], [ENTITY_TYPE_ID2], ..., timestamp
	//
	// The columns can be in any order.
	//
	// Values in the timestamp column must use the RFC 3339 format, e.g.
	// `2012-07-30T10:43:17.123Z`.
	CsvReadInstances *CsvSource `protobuf:"bytes,3,opt,name=csv_read_instances,json=csvReadInstances,proto3,oneof"`
}

type BatchReadFeatureValuesRequest_EntityTypeSpec 

type BatchReadFeatureValuesRequest_EntityTypeSpec struct {

	// Required. ID of the EntityType to select Features. The EntityType id is the
	// [entity_type_id][google.cloud.aiplatform.v1beta1.CreateEntityTypeRequest.entity_type_id] specified
	// during EntityType creation.
	EntityTypeId string `protobuf:"bytes,1,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
	// Required. Selectors choosing which Feature values to read from the EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,2,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// Per-Feature settings for the batch read.
	Settings []*DestinationFeatureSetting `protobuf:"bytes,3,rep,name=settings,proto3" json:"settings,omitempty"`
	// contains filtered or unexported fields
}

Selects Features of an EntityType to read values of and specifies read settings.

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor deprecated 

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesRequest_EntityTypeSpec.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetEntityTypeId() string

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetFeatureSelector() *FeatureSelector

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) GetSettings() []*DestinationFeatureSetting

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage 

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoMessage()

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) Reset 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) Reset()

func (*BatchReadFeatureValuesRequest_EntityTypeSpec) String 

func (x *BatchReadFeatureValuesRequest_EntityTypeSpec) String() string

type BatchReadFeatureValuesResponse 

type BatchReadFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].

func (*BatchReadFeatureValuesResponse) Descriptor deprecated 

func (*BatchReadFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use BatchReadFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*BatchReadFeatureValuesResponse) ProtoMessage 

func (*BatchReadFeatureValuesResponse) ProtoMessage()

func (*BatchReadFeatureValuesResponse) ProtoReflect 

func (x *BatchReadFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*BatchReadFeatureValuesResponse) Reset 

func (x *BatchReadFeatureValuesResponse) Reset()

func (*BatchReadFeatureValuesResponse) String 

func (x *BatchReadFeatureValuesResponse) String() string

type BigQueryDestination 

type BigQueryDestination struct {

	// Required. BigQuery URI to a project or table, up to 2000 characters long.
	//
	// When only the project is specified, the Dataset and Table is created.
	// When the full table reference is specified, the Dataset must exist and
	// table must not exist.
	//
	// Accepted forms:
	//
	// *  BigQuery path. For example:
	// `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

The BigQuery location for the output content.

func (*BigQueryDestination) Descriptor deprecated 

func (*BigQueryDestination) Descriptor() ([]byte, []int)

Deprecated: Use BigQueryDestination.ProtoReflect.Descriptor instead.

func (*BigQueryDestination) GetOutputUri 

func (x *BigQueryDestination) GetOutputUri() string

func (*BigQueryDestination) ProtoMessage 

func (*BigQueryDestination) ProtoMessage()

func (*BigQueryDestination) ProtoReflect 

func (x *BigQueryDestination) ProtoReflect() protoreflect.Message

func (*BigQueryDestination) Reset 

func (x *BigQueryDestination) Reset()

func (*BigQueryDestination) String 

func (x *BigQueryDestination) String() string

type BigQuerySource 

type BigQuerySource struct {

	// Required. BigQuery URI to a table, up to 2000 characters long.
	// Accepted forms:
	//
	// *  BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
	InputUri string `protobuf:"bytes,1,opt,name=input_uri,json=inputUri,proto3" json:"input_uri,omitempty"`
	// contains filtered or unexported fields
}

The BigQuery location for the input content.

func (*BigQuerySource) Descriptor deprecated 

func (*BigQuerySource) Descriptor() ([]byte, []int)

Deprecated: Use BigQuerySource.ProtoReflect.Descriptor instead.

func (*BigQuerySource) GetInputUri 

func (x *BigQuerySource) GetInputUri() string

func (*BigQuerySource) ProtoMessage 

func (*BigQuerySource) ProtoMessage()

func (*BigQuerySource) ProtoReflect 

func (x *BigQuerySource) ProtoReflect() protoreflect.Message

func (*BigQuerySource) Reset 

func (x *BigQuerySource) Reset()

func (*BigQuerySource) String 

func (x *BigQuerySource) String() string

type BoolArray 

type BoolArray struct {

	// A list of bool values.
	Values []bool `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of boolean values.

func (*BoolArray) Descriptor deprecated 

func (*BoolArray) Descriptor() ([]byte, []int)

Deprecated: Use BoolArray.ProtoReflect.Descriptor instead.

func (*BoolArray) GetValues 

func (x *BoolArray) GetValues() []bool

func (*BoolArray) ProtoMessage 

func (*BoolArray) ProtoMessage()

func (*BoolArray) ProtoReflect 

func (x *BoolArray) ProtoReflect() protoreflect.Message

func (*BoolArray) Reset 

func (x *BoolArray) Reset()

func (*BoolArray) String 

func (x *BoolArray) String() string

type CancelBatchPredictionJobRequest 

type CancelBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].

func (*CancelBatchPredictionJobRequest) Descriptor deprecated 

func (*CancelBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*CancelBatchPredictionJobRequest) GetName 

func (x *CancelBatchPredictionJobRequest) GetName() string

func (*CancelBatchPredictionJobRequest) ProtoMessage 

func (*CancelBatchPredictionJobRequest) ProtoMessage()

func (*CancelBatchPredictionJobRequest) ProtoReflect 

func (x *CancelBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*CancelBatchPredictionJobRequest) Reset 

func (x *CancelBatchPredictionJobRequest) Reset()

func (*CancelBatchPredictionJobRequest) String 

func (x *CancelBatchPredictionJobRequest) String() string

type CancelCustomJobRequest 

type CancelCustomJobRequest struct {

	// Required. The name of the CustomJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].

func (*CancelCustomJobRequest) Descriptor deprecated 

func (*CancelCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelCustomJobRequest.ProtoReflect.Descriptor instead.

func (*CancelCustomJobRequest) GetName 

func (x *CancelCustomJobRequest) GetName() string

func (*CancelCustomJobRequest) ProtoMessage 

func (*CancelCustomJobRequest) ProtoMessage()

func (*CancelCustomJobRequest) ProtoReflect 

func (x *CancelCustomJobRequest) ProtoReflect() protoreflect.Message

func (*CancelCustomJobRequest) Reset 

func (x *CancelCustomJobRequest) Reset()

func (*CancelCustomJobRequest) String 

func (x *CancelCustomJobRequest) String() string

type CancelDataLabelingJobRequest 

type CancelDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].

func (*CancelDataLabelingJobRequest) Descriptor deprecated 

func (*CancelDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*CancelDataLabelingJobRequest) GetName 

func (x *CancelDataLabelingJobRequest) GetName() string

func (*CancelDataLabelingJobRequest) ProtoMessage 

func (*CancelDataLabelingJobRequest) ProtoMessage()

func (*CancelDataLabelingJobRequest) ProtoReflect 

func (x *CancelDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*CancelDataLabelingJobRequest) Reset 

func (x *CancelDataLabelingJobRequest) Reset()

func (*CancelDataLabelingJobRequest) String 

func (x *CancelDataLabelingJobRequest) String() string

type CancelHyperparameterTuningJobRequest 

type CancelHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].

func (*CancelHyperparameterTuningJobRequest) Descriptor deprecated 

func (*CancelHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CancelHyperparameterTuningJobRequest) GetName 

func (x *CancelHyperparameterTuningJobRequest) GetName() string

func (*CancelHyperparameterTuningJobRequest) ProtoMessage 

func (*CancelHyperparameterTuningJobRequest) ProtoMessage()

func (*CancelHyperparameterTuningJobRequest) ProtoReflect 

func (x *CancelHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CancelHyperparameterTuningJobRequest) Reset 

func (x *CancelHyperparameterTuningJobRequest) Reset()

func (*CancelHyperparameterTuningJobRequest) String 

func (x *CancelHyperparameterTuningJobRequest) String() string

type CancelPipelineJobRequest 

type CancelPipelineJobRequest struct {

	// Required. The name of the PipelineJob to cancel.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].

func (*CancelPipelineJobRequest) Descriptor deprecated 

func (*CancelPipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelPipelineJobRequest.ProtoReflect.Descriptor instead.

func (*CancelPipelineJobRequest) GetName 

func (x *CancelPipelineJobRequest) GetName() string

func (*CancelPipelineJobRequest) ProtoMessage 

func (*CancelPipelineJobRequest) ProtoMessage()

func (*CancelPipelineJobRequest) ProtoReflect 

func (x *CancelPipelineJobRequest) ProtoReflect() protoreflect.Message

func (*CancelPipelineJobRequest) Reset 

func (x *CancelPipelineJobRequest) Reset()

func (*CancelPipelineJobRequest) String 

func (x *CancelPipelineJobRequest) String() string

type CancelTrainingPipelineRequest 

type CancelTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline to cancel.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].

func (*CancelTrainingPipelineRequest) Descriptor deprecated 

func (*CancelTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use CancelTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*CancelTrainingPipelineRequest) GetName 

func (x *CancelTrainingPipelineRequest) GetName() string

func (*CancelTrainingPipelineRequest) ProtoMessage 

func (*CancelTrainingPipelineRequest) ProtoMessage()

func (*CancelTrainingPipelineRequest) ProtoReflect 

func (x *CancelTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*CancelTrainingPipelineRequest) Reset 

func (x *CancelTrainingPipelineRequest) Reset()

func (*CancelTrainingPipelineRequest) String 

func (x *CancelTrainingPipelineRequest) String() string

type CheckTrialEarlyStoppingStateMetatdata 

type CheckTrialEarlyStoppingStateMetatdata struct {

	// Operation metadata for suggesting Trials.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The name of the Study that the Trial belongs to.
	Study string `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
	// The Trial name.
	Trial string `protobuf:"bytes,3,opt,name=trial,proto3" json:"trial,omitempty"`
	// contains filtered or unexported fields
}

This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor deprecated 

func (*CheckTrialEarlyStoppingStateMetatdata) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateMetatdata.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata 

func (x *CheckTrialEarlyStoppingStateMetatdata) GetGenericMetadata() *GenericOperationMetadata

func (*CheckTrialEarlyStoppingStateMetatdata) GetStudy 

func (x *CheckTrialEarlyStoppingStateMetatdata) GetStudy() string

func (*CheckTrialEarlyStoppingStateMetatdata) GetTrial 

func (x *CheckTrialEarlyStoppingStateMetatdata) GetTrial() string

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage 

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoMessage()

func (*CheckTrialEarlyStoppingStateMetatdata) ProtoReflect 

func (x *CheckTrialEarlyStoppingStateMetatdata) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateMetatdata) Reset 

func (x *CheckTrialEarlyStoppingStateMetatdata) Reset()

func (*CheckTrialEarlyStoppingStateMetatdata) String 

func (x *CheckTrialEarlyStoppingStateMetatdata) String() string

type CheckTrialEarlyStoppingStateRequest 

type CheckTrialEarlyStoppingStateRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	TrialName string `protobuf:"bytes,1,opt,name=trial_name,json=trialName,proto3" json:"trial_name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].

func (*CheckTrialEarlyStoppingStateRequest) Descriptor deprecated 

func (*CheckTrialEarlyStoppingStateRequest) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateRequest.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateRequest) GetTrialName 

func (x *CheckTrialEarlyStoppingStateRequest) GetTrialName() string

func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage 

func (*CheckTrialEarlyStoppingStateRequest) ProtoMessage()

func (*CheckTrialEarlyStoppingStateRequest) ProtoReflect 

func (x *CheckTrialEarlyStoppingStateRequest) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateRequest) Reset 

func (x *CheckTrialEarlyStoppingStateRequest) Reset()

func (*CheckTrialEarlyStoppingStateRequest) String 

func (x *CheckTrialEarlyStoppingStateRequest) String() string

type CheckTrialEarlyStoppingStateResponse 

type CheckTrialEarlyStoppingStateResponse struct {

	// True if the Trial should stop.
	ShouldStop bool `protobuf:"varint,1,opt,name=should_stop,json=shouldStop,proto3" json:"should_stop,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].

func (*CheckTrialEarlyStoppingStateResponse) Descriptor deprecated 

func (*CheckTrialEarlyStoppingStateResponse) Descriptor() ([]byte, []int)

Deprecated: Use CheckTrialEarlyStoppingStateResponse.ProtoReflect.Descriptor instead.

func (*CheckTrialEarlyStoppingStateResponse) GetShouldStop 

func (x *CheckTrialEarlyStoppingStateResponse) GetShouldStop() bool

func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage 

func (*CheckTrialEarlyStoppingStateResponse) ProtoMessage()

func (*CheckTrialEarlyStoppingStateResponse) ProtoReflect 

func (x *CheckTrialEarlyStoppingStateResponse) ProtoReflect() protoreflect.Message

func (*CheckTrialEarlyStoppingStateResponse) Reset 

func (x *CheckTrialEarlyStoppingStateResponse) Reset()

func (*CheckTrialEarlyStoppingStateResponse) String 

func (x *CheckTrialEarlyStoppingStateResponse) String() string

type CompleteTrialRequest 

type CompleteTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. If provided, it will be used as the completed Trial's
	// final_measurement; Otherwise, the service will auto-select a
	// previously reported measurement as the final-measurement
	FinalMeasurement *Measurement `protobuf:"bytes,2,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
	// Optional. True if the Trial cannot be run with the given Parameter, and
	// final_measurement will be ignored.
	TrialInfeasible bool `protobuf:"varint,3,opt,name=trial_infeasible,json=trialInfeasible,proto3" json:"trial_infeasible,omitempty"`
	// Optional. A human readable reason why the trial was infeasible. This should
	// only be provided if `trial_infeasible` is true.
	InfeasibleReason string `protobuf:"bytes,4,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].

func (*CompleteTrialRequest) Descriptor deprecated 

func (*CompleteTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use CompleteTrialRequest.ProtoReflect.Descriptor instead.

func (*CompleteTrialRequest) GetFinalMeasurement 

func (x *CompleteTrialRequest) GetFinalMeasurement() *Measurement

func (*CompleteTrialRequest) GetInfeasibleReason 

func (x *CompleteTrialRequest) GetInfeasibleReason() string

func (*CompleteTrialRequest) GetName 

func (x *CompleteTrialRequest) GetName() string

func (*CompleteTrialRequest) GetTrialInfeasible 

func (x *CompleteTrialRequest) GetTrialInfeasible() bool

func (*CompleteTrialRequest) ProtoMessage 

func (*CompleteTrialRequest) ProtoMessage()

func (*CompleteTrialRequest) ProtoReflect 

func (x *CompleteTrialRequest) ProtoReflect() protoreflect.Message

func (*CompleteTrialRequest) Reset 

func (x *CompleteTrialRequest) Reset()

func (*CompleteTrialRequest) String 

func (x *CompleteTrialRequest) String() string

type CompletionStats 

type CompletionStats struct {

	// Output only. The number of entities that had been processed successfully.
	SuccessfulCount int64 `protobuf:"varint,1,opt,name=successful_count,json=successfulCount,proto3" json:"successful_count,omitempty"`
	// Output only. The number of entities for which any error was encountered.
	FailedCount int64 `protobuf:"varint,2,opt,name=failed_count,json=failedCount,proto3" json:"failed_count,omitempty"`
	// Output only. In cases when enough errors are encountered a job, pipeline, or operation
	// may be failed as a whole. Below is the number of entities for which the
	// processing had not been finished (either in successful or failed state).
	// Set to -1 if the number is unknown (for example, the operation failed
	// before the total entity number could be collected).
	IncompleteCount int64 `protobuf:"varint,3,opt,name=incomplete_count,json=incompleteCount,proto3" json:"incomplete_count,omitempty"`
	// contains filtered or unexported fields
}

Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.

func (*CompletionStats) Descriptor deprecated 

func (*CompletionStats) Descriptor() ([]byte, []int)

Deprecated: Use CompletionStats.ProtoReflect.Descriptor instead.

func (*CompletionStats) GetFailedCount 

func (x *CompletionStats) GetFailedCount() int64

func (*CompletionStats) GetIncompleteCount 

func (x *CompletionStats) GetIncompleteCount() int64

func (*CompletionStats) GetSuccessfulCount 

func (x *CompletionStats) GetSuccessfulCount() int64

func (*CompletionStats) ProtoMessage 

func (*CompletionStats) ProtoMessage()

func (*CompletionStats) ProtoReflect 

func (x *CompletionStats) ProtoReflect() protoreflect.Message

func (*CompletionStats) Reset 

func (x *CompletionStats) Reset()

func (*CompletionStats) String 

func (x *CompletionStats) String() string

type ContainerRegistryDestination 

type ContainerRegistryDestination struct {

	// Required. Container Registry URI of a container image.
	// Only Google Container Registry and Artifact Registry are supported now.
	// Accepted forms:
	//
	// *  Google Container Registry path. For example:
	//    `gcr.io/projectId/imageName:tag`.
	//
	// *  Artifact Registry path. For example:
	//    `us-central1-docker.pkg.dev/projectId/repoName/imageName:tag`.
	//
	// If a tag is not specified, "latest" will be used as the default tag.
	OutputUri string `protobuf:"bytes,1,opt,name=output_uri,json=outputUri,proto3" json:"output_uri,omitempty"`
	// contains filtered or unexported fields
}

The Container Registry location for the container image.

func (*ContainerRegistryDestination) Descriptor deprecated 

func (*ContainerRegistryDestination) Descriptor() ([]byte, []int)

Deprecated: Use ContainerRegistryDestination.ProtoReflect.Descriptor instead.

func (*ContainerRegistryDestination) GetOutputUri 

func (x *ContainerRegistryDestination) GetOutputUri() string

func (*ContainerRegistryDestination) ProtoMessage 

func (*ContainerRegistryDestination) ProtoMessage()

func (*ContainerRegistryDestination) ProtoReflect 

func (x *ContainerRegistryDestination) ProtoReflect() protoreflect.Message

func (*ContainerRegistryDestination) Reset 

func (x *ContainerRegistryDestination) Reset()

func (*ContainerRegistryDestination) String 

func (x *ContainerRegistryDestination) String() string

type ContainerSpec 

type ContainerSpec struct {

	// Required. The URI of a container image in the Container Registry that is to be run on
	// each worker replica.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// The command to be invoked when the container is started.
	// It overrides the entrypoint instruction in Dockerfile when provided.
	Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
	// The arguments to be passed when starting the container.
	Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
	// contains filtered or unexported fields
}

The spec of a Container.

func (*ContainerSpec) Descriptor deprecated 

func (*ContainerSpec) Descriptor() ([]byte, []int)

Deprecated: Use ContainerSpec.ProtoReflect.Descriptor instead.

func (*ContainerSpec) GetArgs 

func (x *ContainerSpec) GetArgs() []string

func (*ContainerSpec) GetCommand 

func (x *ContainerSpec) GetCommand() []string

func (*ContainerSpec) GetImageUri 

func (x *ContainerSpec) GetImageUri() string

func (*ContainerSpec) ProtoMessage 

func (*ContainerSpec) ProtoMessage()

func (*ContainerSpec) ProtoReflect 

func (x *ContainerSpec) ProtoReflect() protoreflect.Message

func (*ContainerSpec) Reset 

func (x *ContainerSpec) Reset()

func (*ContainerSpec) String 

func (x *ContainerSpec) String() string

type Context 

type Context struct {

	// Output only. The resource name of the Context.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided display name of the Context.
	// May be up to 128 Unicode characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// An eTag used to perform consistent read-modify-write updates. If not set, a
	// blind "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Contexts.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Context (System
	// labels are excluded).
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Output only. Timestamp when this Context was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Context was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. A list of resource names of Contexts that are parents of this Context.
	// A Context may have at most 10 parent_contexts.
	ParentContexts []string `protobuf:"bytes,12,rep,name=parent_contexts,json=parentContexts,proto3" json:"parent_contexts,omitempty"`
	// The title of the schema describing the metadata.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
	// The version of the schema in schema_name to use.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Properties of the Context.
	Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Description of the Context
	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general context.

func (*Context) Descriptor deprecated 

func (*Context) Descriptor() ([]byte, []int)

Deprecated: Use Context.ProtoReflect.Descriptor instead.

func (*Context) GetCreateTime 

func (x *Context) GetCreateTime() *timestamppb.Timestamp

func (*Context) GetDescription 

func (x *Context) GetDescription() string

func (*Context) GetDisplayName 

func (x *Context) GetDisplayName() string

func (*Context) GetEtag 

func (x *Context) GetEtag() string

func (*Context) GetLabels 

func (x *Context) GetLabels() map[string]string

func (*Context) GetMetadata 

func (x *Context) GetMetadata() *structpb.Struct

func (*Context) GetName 

func (x *Context) GetName() string

func (*Context) GetParentContexts 

func (x *Context) GetParentContexts() []string

func (*Context) GetSchemaTitle 

func (x *Context) GetSchemaTitle() string

func (*Context) GetSchemaVersion 

func (x *Context) GetSchemaVersion() string

func (*Context) GetUpdateTime 

func (x *Context) GetUpdateTime() *timestamppb.Timestamp

func (*Context) ProtoMessage 

func (*Context) ProtoMessage()

func (*Context) ProtoReflect 

func (x *Context) ProtoReflect() protoreflect.Message

func (*Context) Reset 

func (x *Context) Reset()

func (*Context) String 

func (x *Context) String() string

type CreateArtifactRequest 

type CreateArtifactRequest struct {

	// Required. The resource name of the MetadataStore where the Artifact should
	// be created.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Artifact to create.
	Artifact *Artifact `protobuf:"bytes,2,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// The {artifact} portion of the resource name with the format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}
	// If not provided, the Artifact's ID will be a UUID generated by the service.
	// Must be 4-128 characters in length. Valid characters are /[a-z][0-9]-/.
	// Must be unique across all Artifacts in the parent MetadataStore. (Otherwise
	// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
	// caller can't view the preexisting Artifact.)
	ArtifactId string `protobuf:"bytes,3,opt,name=artifact_id,json=artifactId,proto3" json:"artifact_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].

func (*CreateArtifactRequest) Descriptor deprecated 

func (*CreateArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateArtifactRequest.ProtoReflect.Descriptor instead.

func (*CreateArtifactRequest) GetArtifact 

func (x *CreateArtifactRequest) GetArtifact() *Artifact

func (*CreateArtifactRequest) GetArtifactId 

func (x *CreateArtifactRequest) GetArtifactId() string

func (*CreateArtifactRequest) GetParent 

func (x *CreateArtifactRequest) GetParent() string

func (*CreateArtifactRequest) ProtoMessage 

func (*CreateArtifactRequest) ProtoMessage()

func (*CreateArtifactRequest) ProtoReflect 

func (x *CreateArtifactRequest) ProtoReflect() protoreflect.Message

func (*CreateArtifactRequest) Reset 

func (x *CreateArtifactRequest) Reset()

func (*CreateArtifactRequest) String 

func (x *CreateArtifactRequest) String() string

type CreateBatchPredictionJobRequest 

type CreateBatchPredictionJobRequest struct {

	// Required. The resource name of the Location to create the BatchPredictionJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The BatchPredictionJob to create.
	BatchPredictionJob *BatchPredictionJob `protobuf:"bytes,2,opt,name=batch_prediction_job,json=batchPredictionJob,proto3" json:"batch_prediction_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].

func (*CreateBatchPredictionJobRequest) Descriptor deprecated 

func (*CreateBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*CreateBatchPredictionJobRequest) GetBatchPredictionJob 

func (x *CreateBatchPredictionJobRequest) GetBatchPredictionJob() *BatchPredictionJob

func (*CreateBatchPredictionJobRequest) GetParent 

func (x *CreateBatchPredictionJobRequest) GetParent() string

func (*CreateBatchPredictionJobRequest) ProtoMessage 

func (*CreateBatchPredictionJobRequest) ProtoMessage()

func (*CreateBatchPredictionJobRequest) ProtoReflect 

func (x *CreateBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*CreateBatchPredictionJobRequest) Reset 

func (x *CreateBatchPredictionJobRequest) Reset()

func (*CreateBatchPredictionJobRequest) String 

func (x *CreateBatchPredictionJobRequest) String() string

type CreateContextRequest 

type CreateContextRequest struct {

	// Required. The resource name of the MetadataStore where the Context should be
	// created.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Context to create.
	Context *Context `protobuf:"bytes,2,opt,name=context,proto3" json:"context,omitempty"`
	// The {context} portion of the resource name with the format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}.
	// If not provided, the Context's ID will be a UUID generated by the service.
	// Must be 4-128 characters in length. Valid characters are /[a-z][0-9]-/.
	// Must be unique across all Contexts in the parent MetadataStore. (Otherwise
	// the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED if the
	// caller can't view the preexisting Context.)
	ContextId string `protobuf:"bytes,3,opt,name=context_id,json=contextId,proto3" json:"context_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].

func (*CreateContextRequest) Descriptor deprecated 

func (*CreateContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateContextRequest.ProtoReflect.Descriptor instead.

func (*CreateContextRequest) GetContext 

func (x *CreateContextRequest) GetContext() *Context

func (*CreateContextRequest) GetContextId 

func (x *CreateContextRequest) GetContextId() string

func (*CreateContextRequest) GetParent 

func (x *CreateContextRequest) GetParent() string

func (*CreateContextRequest) ProtoMessage 

func (*CreateContextRequest) ProtoMessage()

func (*CreateContextRequest) ProtoReflect 

func (x *CreateContextRequest) ProtoReflect() protoreflect.Message

func (*CreateContextRequest) Reset 

func (x *CreateContextRequest) Reset()

func (*CreateContextRequest) String 

func (x *CreateContextRequest) String() string

type CreateCustomJobRequest 

type CreateCustomJobRequest struct {

	// Required. The resource name of the Location to create the CustomJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The CustomJob to create.
	CustomJob *CustomJob `protobuf:"bytes,2,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].

func (*CreateCustomJobRequest) Descriptor deprecated 

func (*CreateCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateCustomJobRequest.ProtoReflect.Descriptor instead.

func (*CreateCustomJobRequest) GetCustomJob 

func (x *CreateCustomJobRequest) GetCustomJob() *CustomJob

func (*CreateCustomJobRequest) GetParent 

func (x *CreateCustomJobRequest) GetParent() string

func (*CreateCustomJobRequest) ProtoMessage 

func (*CreateCustomJobRequest) ProtoMessage()

func (*CreateCustomJobRequest) ProtoReflect 

func (x *CreateCustomJobRequest) ProtoReflect() protoreflect.Message

func (*CreateCustomJobRequest) Reset 

func (x *CreateCustomJobRequest) Reset()

func (*CreateCustomJobRequest) String 

func (x *CreateCustomJobRequest) String() string

type CreateDataLabelingJobRequest 

type CreateDataLabelingJobRequest struct {

	// Required. The parent of the DataLabelingJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The DataLabelingJob to create.
	DataLabelingJob *DataLabelingJob `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3" json:"data_labeling_job,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].

func (*CreateDataLabelingJobRequest) Descriptor deprecated 

func (*CreateDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*CreateDataLabelingJobRequest) GetDataLabelingJob 

func (x *CreateDataLabelingJobRequest) GetDataLabelingJob() *DataLabelingJob

func (*CreateDataLabelingJobRequest) GetParent 

func (x *CreateDataLabelingJobRequest) GetParent() string

func (*CreateDataLabelingJobRequest) ProtoMessage 

func (*CreateDataLabelingJobRequest) ProtoMessage()

func (*CreateDataLabelingJobRequest) ProtoReflect 

func (x *CreateDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*CreateDataLabelingJobRequest) Reset 

func (x *CreateDataLabelingJobRequest) Reset()

func (*CreateDataLabelingJobRequest) String 

func (x *CreateDataLabelingJobRequest) String() string

type CreateDatasetOperationMetadata 

type CreateDatasetOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].

func (*CreateDatasetOperationMetadata) Descriptor deprecated 

func (*CreateDatasetOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateDatasetOperationMetadata) GetGenericMetadata 

func (x *CreateDatasetOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateDatasetOperationMetadata) ProtoMessage 

func (*CreateDatasetOperationMetadata) ProtoMessage()

func (*CreateDatasetOperationMetadata) ProtoReflect 

func (x *CreateDatasetOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateDatasetOperationMetadata) Reset 

func (x *CreateDatasetOperationMetadata) Reset()

func (*CreateDatasetOperationMetadata) String 

func (x *CreateDatasetOperationMetadata) String() string

type CreateDatasetRequest 

type CreateDatasetRequest struct {

	// Required. The resource name of the Location to create the Dataset in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Dataset to create.
	Dataset *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].

func (*CreateDatasetRequest) Descriptor deprecated 

func (*CreateDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateDatasetRequest.ProtoReflect.Descriptor instead.

func (*CreateDatasetRequest) GetDataset 

func (x *CreateDatasetRequest) GetDataset() *Dataset

func (*CreateDatasetRequest) GetParent 

func (x *CreateDatasetRequest) GetParent() string

func (*CreateDatasetRequest) ProtoMessage 

func (*CreateDatasetRequest) ProtoMessage()

func (*CreateDatasetRequest) ProtoReflect 

func (x *CreateDatasetRequest) ProtoReflect() protoreflect.Message

func (*CreateDatasetRequest) Reset 

func (x *CreateDatasetRequest) Reset()

func (*CreateDatasetRequest) String 

func (x *CreateDatasetRequest) String() string

type CreateEndpointOperationMetadata 

type CreateEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].

func (*CreateEndpointOperationMetadata) Descriptor deprecated 

func (*CreateEndpointOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateEndpointOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateEndpointOperationMetadata) GetGenericMetadata 

func (x *CreateEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateEndpointOperationMetadata) ProtoMessage 

func (*CreateEndpointOperationMetadata) ProtoMessage()

func (*CreateEndpointOperationMetadata) ProtoReflect 

func (x *CreateEndpointOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateEndpointOperationMetadata) Reset 

func (x *CreateEndpointOperationMetadata) Reset()

func (*CreateEndpointOperationMetadata) String 

func (x *CreateEndpointOperationMetadata) String() string

type CreateEndpointRequest 

type CreateEndpointRequest struct {

	// Required. The resource name of the Location to create the Endpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Endpoint to create.
	Endpoint *Endpoint `protobuf:"bytes,2,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].

func (*CreateEndpointRequest) Descriptor deprecated 

func (*CreateEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateEndpointRequest.ProtoReflect.Descriptor instead.

func (*CreateEndpointRequest) GetEndpoint 

func (x *CreateEndpointRequest) GetEndpoint() *Endpoint

func (*CreateEndpointRequest) GetParent 

func (x *CreateEndpointRequest) GetParent() string

func (*CreateEndpointRequest) ProtoMessage 

func (*CreateEndpointRequest) ProtoMessage()

func (*CreateEndpointRequest) ProtoReflect 

func (x *CreateEndpointRequest) ProtoReflect() protoreflect.Message

func (*CreateEndpointRequest) Reset 

func (x *CreateEndpointRequest) Reset()

func (*CreateEndpointRequest) String 

func (x *CreateEndpointRequest) String() string

type CreateEntityTypeOperationMetadata 

type CreateEntityTypeOperationMetadata struct {

	// Operation metadata for EntityType.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create EntityType.

func (*CreateEntityTypeOperationMetadata) Descriptor deprecated 

func (*CreateEntityTypeOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateEntityTypeOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateEntityTypeOperationMetadata) GetGenericMetadata 

func (x *CreateEntityTypeOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateEntityTypeOperationMetadata) ProtoMessage 

func (*CreateEntityTypeOperationMetadata) ProtoMessage()

func (*CreateEntityTypeOperationMetadata) ProtoReflect 

func (x *CreateEntityTypeOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateEntityTypeOperationMetadata) Reset 

func (x *CreateEntityTypeOperationMetadata) Reset()

func (*CreateEntityTypeOperationMetadata) String 

func (x *CreateEntityTypeOperationMetadata) String() string

type CreateEntityTypeRequest 

type CreateEntityTypeRequest struct {

	// Required. The resource name of the Featurestore to create EntityTypes.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The EntityType to create.
	EntityType *EntityType `protobuf:"bytes,2,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. The ID to use for the EntityType, which will become the final component of
	// the EntityType's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within a featurestore.
	EntityTypeId string `protobuf:"bytes,3,opt,name=entity_type_id,json=entityTypeId,proto3" json:"entity_type_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].

func (*CreateEntityTypeRequest) Descriptor deprecated 

func (*CreateEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*CreateEntityTypeRequest) GetEntityType 

func (x *CreateEntityTypeRequest) GetEntityType() *EntityType

func (*CreateEntityTypeRequest) GetEntityTypeId 

func (x *CreateEntityTypeRequest) GetEntityTypeId() string

func (*CreateEntityTypeRequest) GetParent 

func (x *CreateEntityTypeRequest) GetParent() string

func (*CreateEntityTypeRequest) ProtoMessage 

func (*CreateEntityTypeRequest) ProtoMessage()

func (*CreateEntityTypeRequest) ProtoReflect 

func (x *CreateEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*CreateEntityTypeRequest) Reset 

func (x *CreateEntityTypeRequest) Reset()

func (*CreateEntityTypeRequest) String 

func (x *CreateEntityTypeRequest) String() string

type CreateExecutionRequest 

type CreateExecutionRequest struct {

	// Required. The resource name of the MetadataStore where the Execution should
	// be created.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Execution to create.
	Execution *Execution `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`
	// The {execution} portion of the resource name with the format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
	// If not provided, the Execution's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are /[a-z][0-9]-/.
	// Must be unique across all Executions in the parent MetadataStore.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting Execution.)
	ExecutionId string `protobuf:"bytes,3,opt,name=execution_id,json=executionId,proto3" json:"execution_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].

func (*CreateExecutionRequest) Descriptor deprecated 

func (*CreateExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateExecutionRequest.ProtoReflect.Descriptor instead.

func (*CreateExecutionRequest) GetExecution 

func (x *CreateExecutionRequest) GetExecution() *Execution

func (*CreateExecutionRequest) GetExecutionId 

func (x *CreateExecutionRequest) GetExecutionId() string

func (*CreateExecutionRequest) GetParent 

func (x *CreateExecutionRequest) GetParent() string

func (*CreateExecutionRequest) ProtoMessage 

func (*CreateExecutionRequest) ProtoMessage()

func (*CreateExecutionRequest) ProtoReflect 

func (x *CreateExecutionRequest) ProtoReflect() protoreflect.Message

func (*CreateExecutionRequest) Reset 

func (x *CreateExecutionRequest) Reset()

func (*CreateExecutionRequest) String 

func (x *CreateExecutionRequest) String() string

type CreateFeatureOperationMetadata 

type CreateFeatureOperationMetadata struct {

	// Operation metadata for Feature.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Feature.

func (*CreateFeatureOperationMetadata) Descriptor deprecated 

func (*CreateFeatureOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeatureOperationMetadata) GetGenericMetadata 

func (x *CreateFeatureOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeatureOperationMetadata) ProtoMessage 

func (*CreateFeatureOperationMetadata) ProtoMessage()

func (*CreateFeatureOperationMetadata) ProtoReflect 

func (x *CreateFeatureOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeatureOperationMetadata) Reset 

func (x *CreateFeatureOperationMetadata) Reset()

func (*CreateFeatureOperationMetadata) String 

func (x *CreateFeatureOperationMetadata) String() string

type CreateFeatureRequest 

type CreateFeatureRequest struct {

	// Required. The resource name of the EntityType to create a Feature.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Feature to create.
	Feature *Feature `protobuf:"bytes,2,opt,name=feature,proto3" json:"feature,omitempty"`
	// Required. The ID to use for the Feature, which will become the final component of
	// the Feature's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within an EntityType.
	FeatureId string `protobuf:"bytes,3,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].

func (*CreateFeatureRequest) Descriptor deprecated 

func (*CreateFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeatureRequest.ProtoReflect.Descriptor instead.

func (*CreateFeatureRequest) GetFeature 

func (x *CreateFeatureRequest) GetFeature() *Feature

func (*CreateFeatureRequest) GetFeatureId 

func (x *CreateFeatureRequest) GetFeatureId() string

func (*CreateFeatureRequest) GetParent 

func (x *CreateFeatureRequest) GetParent() string

func (*CreateFeatureRequest) ProtoMessage 

func (*CreateFeatureRequest) ProtoMessage()

func (*CreateFeatureRequest) ProtoReflect 

func (x *CreateFeatureRequest) ProtoReflect() protoreflect.Message

func (*CreateFeatureRequest) Reset 

func (x *CreateFeatureRequest) Reset()

func (*CreateFeatureRequest) String 

func (x *CreateFeatureRequest) String() string

type CreateFeaturestoreOperationMetadata 

type CreateFeaturestoreOperationMetadata struct {

	// Operation metadata for Featurestore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Featurestore.

func (*CreateFeaturestoreOperationMetadata) Descriptor deprecated 

func (*CreateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateFeaturestoreOperationMetadata) GetGenericMetadata 

func (x *CreateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateFeaturestoreOperationMetadata) ProtoMessage 

func (*CreateFeaturestoreOperationMetadata) ProtoMessage()

func (*CreateFeaturestoreOperationMetadata) ProtoReflect 

func (x *CreateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateFeaturestoreOperationMetadata) Reset 

func (x *CreateFeaturestoreOperationMetadata) Reset()

func (*CreateFeaturestoreOperationMetadata) String 

func (x *CreateFeaturestoreOperationMetadata) String() string

type CreateFeaturestoreRequest 

type CreateFeaturestoreRequest struct {

	// Required. The resource name of the Location to create Featurestores.
	// Format:
	// `projects/{project}/locations/{location}'`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Featurestore to create.
	Featurestore *Featurestore `protobuf:"bytes,2,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Required. The ID to use for this Featurestore, which will become the final component
	// of the Featurestore's resource name.
	//
	// This value may be up to 60 characters, and valid characters are
	// `[a-z0-9_]`. The first character cannot be a number.
	//
	// The value must be unique within the project and location.
	FeaturestoreId string `protobuf:"bytes,3,opt,name=featurestore_id,json=featurestoreId,proto3" json:"featurestore_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].

func (*CreateFeaturestoreRequest) Descriptor deprecated 

func (*CreateFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*CreateFeaturestoreRequest) GetFeaturestore 

func (x *CreateFeaturestoreRequest) GetFeaturestore() *Featurestore

func (*CreateFeaturestoreRequest) GetFeaturestoreId 

func (x *CreateFeaturestoreRequest) GetFeaturestoreId() string

func (*CreateFeaturestoreRequest) GetParent 

func (x *CreateFeaturestoreRequest) GetParent() string

func (*CreateFeaturestoreRequest) ProtoMessage 

func (*CreateFeaturestoreRequest) ProtoMessage()

func (*CreateFeaturestoreRequest) ProtoReflect 

func (x *CreateFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*CreateFeaturestoreRequest) Reset 

func (x *CreateFeaturestoreRequest) Reset()

func (*CreateFeaturestoreRequest) String 

func (x *CreateFeaturestoreRequest) String() string

type CreateHyperparameterTuningJobRequest 

type CreateHyperparameterTuningJobRequest struct {

	// Required. The resource name of the Location to create the HyperparameterTuningJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The HyperparameterTuningJob to create.
	HyperparameterTuningJob *HyperparameterTuningJob `` /* 132-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].

func (*CreateHyperparameterTuningJobRequest) Descriptor deprecated 

func (*CreateHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob 

func (x *CreateHyperparameterTuningJobRequest) GetHyperparameterTuningJob() *HyperparameterTuningJob

func (*CreateHyperparameterTuningJobRequest) GetParent 

func (x *CreateHyperparameterTuningJobRequest) GetParent() string

func (*CreateHyperparameterTuningJobRequest) ProtoMessage 

func (*CreateHyperparameterTuningJobRequest) ProtoMessage()

func (*CreateHyperparameterTuningJobRequest) ProtoReflect 

func (x *CreateHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*CreateHyperparameterTuningJobRequest) Reset 

func (x *CreateHyperparameterTuningJobRequest) Reset()

func (*CreateHyperparameterTuningJobRequest) String 

func (x *CreateHyperparameterTuningJobRequest) String() string

type CreateIndexEndpointOperationMetadata 

type CreateIndexEndpointOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].

func (*CreateIndexEndpointOperationMetadata) Descriptor deprecated 

func (*CreateIndexEndpointOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexEndpointOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateIndexEndpointOperationMetadata) GetGenericMetadata 

func (x *CreateIndexEndpointOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateIndexEndpointOperationMetadata) ProtoMessage 

func (*CreateIndexEndpointOperationMetadata) ProtoMessage()

func (*CreateIndexEndpointOperationMetadata) ProtoReflect 

func (x *CreateIndexEndpointOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateIndexEndpointOperationMetadata) Reset 

func (x *CreateIndexEndpointOperationMetadata) Reset()

func (*CreateIndexEndpointOperationMetadata) String 

func (x *CreateIndexEndpointOperationMetadata) String() string

type CreateIndexEndpointRequest 

type CreateIndexEndpointRequest struct {

	// Required. The resource name of the Location to create the IndexEndpoint in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The IndexEndpoint to create.
	IndexEndpoint *IndexEndpoint `protobuf:"bytes,2,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].

func (*CreateIndexEndpointRequest) Descriptor deprecated 

func (*CreateIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*CreateIndexEndpointRequest) GetIndexEndpoint 

func (x *CreateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint

func (*CreateIndexEndpointRequest) GetParent 

func (x *CreateIndexEndpointRequest) GetParent() string

func (*CreateIndexEndpointRequest) ProtoMessage 

func (*CreateIndexEndpointRequest) ProtoMessage()

func (*CreateIndexEndpointRequest) ProtoReflect 

func (x *CreateIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*CreateIndexEndpointRequest) Reset 

func (x *CreateIndexEndpointRequest) Reset()

func (*CreateIndexEndpointRequest) String 

func (x *CreateIndexEndpointRequest) String() string

type CreateIndexOperationMetadata 

type CreateIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The operation metadata with regard to Matching Engine Index operation.
	NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata `` /* 181-byte string literal not displayed */
	// contains filtered or unexported fields
}

Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].

func (*CreateIndexOperationMetadata) Descriptor deprecated 

func (*CreateIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateIndexOperationMetadata) GetGenericMetadata 

func (x *CreateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata 

func (x *CreateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata

func (*CreateIndexOperationMetadata) ProtoMessage 

func (*CreateIndexOperationMetadata) ProtoMessage()

func (*CreateIndexOperationMetadata) ProtoReflect 

func (x *CreateIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateIndexOperationMetadata) Reset 

func (x *CreateIndexOperationMetadata) Reset()

func (*CreateIndexOperationMetadata) String 

func (x *CreateIndexOperationMetadata) String() string

type CreateIndexRequest 

type CreateIndexRequest struct {

	// Required. The resource name of the Location to create the Index in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Index to create.
	Index *Index `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].

func (*CreateIndexRequest) Descriptor deprecated 

func (*CreateIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateIndexRequest.ProtoReflect.Descriptor instead.

func (*CreateIndexRequest) GetIndex 

func (x *CreateIndexRequest) GetIndex() *Index

func (*CreateIndexRequest) GetParent 

func (x *CreateIndexRequest) GetParent() string

func (*CreateIndexRequest) ProtoMessage 

func (*CreateIndexRequest) ProtoMessage()

func (*CreateIndexRequest) ProtoReflect 

func (x *CreateIndexRequest) ProtoReflect() protoreflect.Message

func (*CreateIndexRequest) Reset 

func (x *CreateIndexRequest) Reset()

func (*CreateIndexRequest) String 

func (x *CreateIndexRequest) String() string

type CreateMetadataSchemaRequest 

type CreateMetadataSchemaRequest struct {

	// Required. The resource name of the MetadataStore where the MetadataSchema should
	// be created.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The MetadataSchema to create.
	MetadataSchema *MetadataSchema `protobuf:"bytes,2,opt,name=metadata_schema,json=metadataSchema,proto3" json:"metadata_schema,omitempty"`
	// The {metadata_schema} portion of the resource name with the format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}
	// If not provided, the MetadataStore's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are /[a-z][0-9]-/.
	// Must be unique across all MetadataSchemas in the parent Location.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting MetadataSchema.)
	MetadataSchemaId string `protobuf:"bytes,3,opt,name=metadata_schema_id,json=metadataSchemaId,proto3" json:"metadata_schema_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].

func (*CreateMetadataSchemaRequest) Descriptor deprecated 

func (*CreateMetadataSchemaRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataSchemaRequest.ProtoReflect.Descriptor instead.

func (*CreateMetadataSchemaRequest) GetMetadataSchema 

func (x *CreateMetadataSchemaRequest) GetMetadataSchema() *MetadataSchema

func (*CreateMetadataSchemaRequest) GetMetadataSchemaId 

func (x *CreateMetadataSchemaRequest) GetMetadataSchemaId() string

func (*CreateMetadataSchemaRequest) GetParent 

func (x *CreateMetadataSchemaRequest) GetParent() string

func (*CreateMetadataSchemaRequest) ProtoMessage 

func (*CreateMetadataSchemaRequest) ProtoMessage()

func (*CreateMetadataSchemaRequest) ProtoReflect 

func (x *CreateMetadataSchemaRequest) ProtoReflect() protoreflect.Message

func (*CreateMetadataSchemaRequest) Reset 

func (x *CreateMetadataSchemaRequest) Reset()

func (*CreateMetadataSchemaRequest) String 

func (x *CreateMetadataSchemaRequest) String() string

type CreateMetadataStoreOperationMetadata 

type CreateMetadataStoreOperationMetadata struct {

	// Operation metadata for creating a MetadataStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].

func (*CreateMetadataStoreOperationMetadata) Descriptor deprecated 

func (*CreateMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateMetadataStoreOperationMetadata) GetGenericMetadata 

func (x *CreateMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateMetadataStoreOperationMetadata) ProtoMessage 

func (*CreateMetadataStoreOperationMetadata) ProtoMessage()

func (*CreateMetadataStoreOperationMetadata) ProtoReflect 

func (x *CreateMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateMetadataStoreOperationMetadata) Reset 

func (x *CreateMetadataStoreOperationMetadata) Reset()

func (*CreateMetadataStoreOperationMetadata) String 

func (x *CreateMetadataStoreOperationMetadata) String() string

type CreateMetadataStoreRequest 

type CreateMetadataStoreRequest struct {

	// Required. The resource name of the Location where the MetadataStore should
	// be created.
	// Format: projects/{project}/locations/{location}/
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The MetadataStore to create.
	MetadataStore *MetadataStore `protobuf:"bytes,2,opt,name=metadata_store,json=metadataStore,proto3" json:"metadata_store,omitempty"`
	// The {metadatastore} portion of the resource name with the format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	// If not provided, the MetadataStore's ID will be a UUID generated by the
	// service.
	// Must be 4-128 characters in length. Valid characters are /[a-z][0-9]-/.
	// Must be unique across all MetadataStores in the parent Location.
	// (Otherwise the request will fail with ALREADY_EXISTS, or PERMISSION_DENIED
	// if the caller can't view the preexisting MetadataStore.)
	MetadataStoreId string `protobuf:"bytes,3,opt,name=metadata_store_id,json=metadataStoreId,proto3" json:"metadata_store_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].

func (*CreateMetadataStoreRequest) Descriptor deprecated 

func (*CreateMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*CreateMetadataStoreRequest) GetMetadataStore 

func (x *CreateMetadataStoreRequest) GetMetadataStore() *MetadataStore

func (*CreateMetadataStoreRequest) GetMetadataStoreId 

func (x *CreateMetadataStoreRequest) GetMetadataStoreId() string

func (*CreateMetadataStoreRequest) GetParent 

func (x *CreateMetadataStoreRequest) GetParent() string

func (*CreateMetadataStoreRequest) ProtoMessage 

func (*CreateMetadataStoreRequest) ProtoMessage()

func (*CreateMetadataStoreRequest) ProtoReflect 

func (x *CreateMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*CreateMetadataStoreRequest) Reset 

func (x *CreateMetadataStoreRequest) Reset()

func (*CreateMetadataStoreRequest) String 

func (x *CreateMetadataStoreRequest) String() string

type CreateModelDeploymentMonitoringJobRequest 

type CreateModelDeploymentMonitoringJobRequest struct {

	// Required. The parent of the ModelDeploymentMonitoringJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The ModelDeploymentMonitoringJob to create
	ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob `` /* 149-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.CreateModelDeploymentMonitoringJob].

func (*CreateModelDeploymentMonitoringJobRequest) Descriptor deprecated 

func (*CreateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob 

func (x *CreateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob

func (*CreateModelDeploymentMonitoringJobRequest) GetParent 

func (x *CreateModelDeploymentMonitoringJobRequest) GetParent() string

func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*CreateModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*CreateModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *CreateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*CreateModelDeploymentMonitoringJobRequest) Reset 

func (x *CreateModelDeploymentMonitoringJobRequest) Reset()

func (*CreateModelDeploymentMonitoringJobRequest) String 

func (x *CreateModelDeploymentMonitoringJobRequest) String() string

type CreatePipelineJobRequest 

type CreatePipelineJobRequest struct {

	// Required. The resource name of the Location to create the PipelineJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The PipelineJob to create.
	PipelineJob *PipelineJob `protobuf:"bytes,2,opt,name=pipeline_job,json=pipelineJob,proto3" json:"pipeline_job,omitempty"`
	// The ID to use for the PipelineJob, which will become the final component of
	// the PipelineJob name. If not provided, an ID will be automatically
	// generated.
	//
	// This value should be less than 128 characters, and valid characters
	// are /[a-z][0-9]-/.
	PipelineJobId string `protobuf:"bytes,3,opt,name=pipeline_job_id,json=pipelineJobId,proto3" json:"pipeline_job_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].

func (*CreatePipelineJobRequest) Descriptor deprecated 

func (*CreatePipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreatePipelineJobRequest.ProtoReflect.Descriptor instead.

func (*CreatePipelineJobRequest) GetParent 

func (x *CreatePipelineJobRequest) GetParent() string

func (*CreatePipelineJobRequest) GetPipelineJob 

func (x *CreatePipelineJobRequest) GetPipelineJob() *PipelineJob

func (*CreatePipelineJobRequest) GetPipelineJobId 

func (x *CreatePipelineJobRequest) GetPipelineJobId() string

func (*CreatePipelineJobRequest) ProtoMessage 

func (*CreatePipelineJobRequest) ProtoMessage()

func (*CreatePipelineJobRequest) ProtoReflect 

func (x *CreatePipelineJobRequest) ProtoReflect() protoreflect.Message

func (*CreatePipelineJobRequest) Reset 

func (x *CreatePipelineJobRequest) Reset()

func (*CreatePipelineJobRequest) String 

func (x *CreatePipelineJobRequest) String() string

type CreateSpecialistPoolOperationMetadata 

type CreateSpecialistPoolOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].

func (*CreateSpecialistPoolOperationMetadata) Descriptor deprecated 

func (*CreateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateSpecialistPoolOperationMetadata) GetGenericMetadata 

func (x *CreateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateSpecialistPoolOperationMetadata) ProtoMessage 

func (*CreateSpecialistPoolOperationMetadata) ProtoMessage()

func (*CreateSpecialistPoolOperationMetadata) ProtoReflect 

func (x *CreateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateSpecialistPoolOperationMetadata) Reset 

func (x *CreateSpecialistPoolOperationMetadata) Reset()

func (*CreateSpecialistPoolOperationMetadata) String 

func (x *CreateSpecialistPoolOperationMetadata) String() string

type CreateSpecialistPoolRequest 

type CreateSpecialistPoolRequest struct {

	// Required. The parent Project name for the new SpecialistPool.
	// The form is `projects/{project}/locations/{location}`.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The SpecialistPool to create.
	SpecialistPool *SpecialistPool `protobuf:"bytes,2,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].

func (*CreateSpecialistPoolRequest) Descriptor deprecated 

func (*CreateSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*CreateSpecialistPoolRequest) GetParent 

func (x *CreateSpecialistPoolRequest) GetParent() string

func (*CreateSpecialistPoolRequest) GetSpecialistPool 

func (x *CreateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool

func (*CreateSpecialistPoolRequest) ProtoMessage 

func (*CreateSpecialistPoolRequest) ProtoMessage()

func (*CreateSpecialistPoolRequest) ProtoReflect 

func (x *CreateSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*CreateSpecialistPoolRequest) Reset 

func (x *CreateSpecialistPoolRequest) Reset()

func (*CreateSpecialistPoolRequest) String 

func (x *CreateSpecialistPoolRequest) String() string

type CreateStudyRequest 

type CreateStudyRequest struct {

	// Required. The resource name of the Location to create the CustomJob in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Study configuration used to create the Study.
	Study *Study `protobuf:"bytes,2,opt,name=study,proto3" json:"study,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].

func (*CreateStudyRequest) Descriptor deprecated 

func (*CreateStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateStudyRequest.ProtoReflect.Descriptor instead.

func (*CreateStudyRequest) GetParent 

func (x *CreateStudyRequest) GetParent() string

func (*CreateStudyRequest) GetStudy 

func (x *CreateStudyRequest) GetStudy() *Study

func (*CreateStudyRequest) ProtoMessage 

func (*CreateStudyRequest) ProtoMessage()

func (*CreateStudyRequest) ProtoReflect 

func (x *CreateStudyRequest) ProtoReflect() protoreflect.Message

func (*CreateStudyRequest) Reset 

func (x *CreateStudyRequest) Reset()

func (*CreateStudyRequest) String 

func (x *CreateStudyRequest) String() string

type CreateTensorboardExperimentRequest 

type CreateTensorboardExperimentRequest struct {

	// Required. The resource name of the Tensorboard to create the TensorboardExperiment
	// in. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The TensorboardExperiment to create.
	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// Required. The ID to use for the Tensorboard experiment, which will become the final
	// component of the Tensorboard experiment's resource name.
	//
	// This value should be 1-128 characters, and valid characters
	// are /[a-z][0-9]-/.
	TensorboardExperimentId string `` /* 132-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].

func (*CreateTensorboardExperimentRequest) Descriptor deprecated 

func (*CreateTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardExperimentRequest) GetParent 

func (x *CreateTensorboardExperimentRequest) GetParent() string

func (*CreateTensorboardExperimentRequest) GetTensorboardExperiment 

func (x *CreateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment

func (*CreateTensorboardExperimentRequest) GetTensorboardExperimentId 

func (x *CreateTensorboardExperimentRequest) GetTensorboardExperimentId() string

func (*CreateTensorboardExperimentRequest) ProtoMessage 

func (*CreateTensorboardExperimentRequest) ProtoMessage()

func (*CreateTensorboardExperimentRequest) ProtoReflect 

func (x *CreateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardExperimentRequest) Reset 

func (x *CreateTensorboardExperimentRequest) Reset()

func (*CreateTensorboardExperimentRequest) String 

func (x *CreateTensorboardExperimentRequest) String() string

type CreateTensorboardOperationMetadata 

type CreateTensorboardOperationMetadata struct {

	// Operation metadata for Tensorboard.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform create Tensorboard.

func (*CreateTensorboardOperationMetadata) Descriptor deprecated 

func (*CreateTensorboardOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.

func (*CreateTensorboardOperationMetadata) GetGenericMetadata 

func (x *CreateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*CreateTensorboardOperationMetadata) ProtoMessage 

func (*CreateTensorboardOperationMetadata) ProtoMessage()

func (*CreateTensorboardOperationMetadata) ProtoReflect 

func (x *CreateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message

func (*CreateTensorboardOperationMetadata) Reset 

func (x *CreateTensorboardOperationMetadata) Reset()

func (*CreateTensorboardOperationMetadata) String 

func (x *CreateTensorboardOperationMetadata) String() string

type CreateTensorboardRequest 

type CreateTensorboardRequest struct {

	// Required. The resource name of the Location to create the Tensorboard in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Tensorboard to create.
	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].

func (*CreateTensorboardRequest) Descriptor deprecated 

func (*CreateTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardRequest) GetParent 

func (x *CreateTensorboardRequest) GetParent() string

func (*CreateTensorboardRequest) GetTensorboard 

func (x *CreateTensorboardRequest) GetTensorboard() *Tensorboard

func (*CreateTensorboardRequest) ProtoMessage 

func (*CreateTensorboardRequest) ProtoMessage()

func (*CreateTensorboardRequest) ProtoReflect 

func (x *CreateTensorboardRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardRequest) Reset 

func (x *CreateTensorboardRequest) Reset()

func (*CreateTensorboardRequest) String 

func (x *CreateTensorboardRequest) String() string

type CreateTensorboardRunRequest 

type CreateTensorboardRunRequest struct {

	// Required. The resource name of the Tensorboard to create the TensorboardRun in.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TensorboardRun to create.
	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// Required. The ID to use for the Tensorboard run, which will become the final
	// component of the Tensorboard run's resource name.
	//
	// This value should be 1-128 characters, and valid characters
	// are /[a-z][0-9]-/.
	TensorboardRunId string `protobuf:"bytes,3,opt,name=tensorboard_run_id,json=tensorboardRunId,proto3" json:"tensorboard_run_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].

func (*CreateTensorboardRunRequest) Descriptor deprecated 

func (*CreateTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardRunRequest) GetParent 

func (x *CreateTensorboardRunRequest) GetParent() string

func (*CreateTensorboardRunRequest) GetTensorboardRun 

func (x *CreateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun

func (*CreateTensorboardRunRequest) GetTensorboardRunId 

func (x *CreateTensorboardRunRequest) GetTensorboardRunId() string

func (*CreateTensorboardRunRequest) ProtoMessage 

func (*CreateTensorboardRunRequest) ProtoMessage()

func (*CreateTensorboardRunRequest) ProtoReflect 

func (x *CreateTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardRunRequest) Reset 

func (x *CreateTensorboardRunRequest) Reset()

func (*CreateTensorboardRunRequest) String 

func (x *CreateTensorboardRunRequest) String() string

type CreateTensorboardTimeSeriesRequest 

type CreateTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardRun to create the
	// TensorboardTimeSeries in.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
	// will become the final component of the TensorboardTimeSeries's resource
	// name. Ref: go/ucaip-user-specified-id
	//
	// This value should match "[a-z0-9][a-z0-9-]{0, 127}"
	TensorboardTimeSeriesId string `` /* 134-byte string literal not displayed */
	// Required. The TensorboardTimeSeries to create.
	TensorboardTimeSeries *TensorboardTimeSeries `` /* 126-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].

func (*CreateTensorboardTimeSeriesRequest) Descriptor deprecated 

func (*CreateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*CreateTensorboardTimeSeriesRequest) GetParent 

func (x *CreateTensorboardTimeSeriesRequest) GetParent() string

func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries 

func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries

func (*CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId 

func (x *CreateTensorboardTimeSeriesRequest) GetTensorboardTimeSeriesId() string

func (*CreateTensorboardTimeSeriesRequest) ProtoMessage 

func (*CreateTensorboardTimeSeriesRequest) ProtoMessage()

func (*CreateTensorboardTimeSeriesRequest) ProtoReflect 

func (x *CreateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*CreateTensorboardTimeSeriesRequest) Reset 

func (x *CreateTensorboardTimeSeriesRequest) Reset()

func (*CreateTensorboardTimeSeriesRequest) String 

func (x *CreateTensorboardTimeSeriesRequest) String() string

type CreateTrainingPipelineRequest 

type CreateTrainingPipelineRequest struct {

	// Required. The resource name of the Location to create the TrainingPipeline in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The TrainingPipeline to create.
	TrainingPipeline *TrainingPipeline `protobuf:"bytes,2,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].

func (*CreateTrainingPipelineRequest) Descriptor deprecated 

func (*CreateTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*CreateTrainingPipelineRequest) GetParent 

func (x *CreateTrainingPipelineRequest) GetParent() string

func (*CreateTrainingPipelineRequest) GetTrainingPipeline 

func (x *CreateTrainingPipelineRequest) GetTrainingPipeline() *TrainingPipeline

func (*CreateTrainingPipelineRequest) ProtoMessage 

func (*CreateTrainingPipelineRequest) ProtoMessage()

func (*CreateTrainingPipelineRequest) ProtoReflect 

func (x *CreateTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*CreateTrainingPipelineRequest) Reset 

func (x *CreateTrainingPipelineRequest) Reset()

func (*CreateTrainingPipelineRequest) String 

func (x *CreateTrainingPipelineRequest) String() string

type CreateTrialRequest 

type CreateTrialRequest struct {

	// Required. The resource name of the Study to create the Trial in.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Trial to create.
	Trial *Trial `protobuf:"bytes,2,opt,name=trial,proto3" json:"trial,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].

func (*CreateTrialRequest) Descriptor deprecated 

func (*CreateTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use CreateTrialRequest.ProtoReflect.Descriptor instead.

func (*CreateTrialRequest) GetParent 

func (x *CreateTrialRequest) GetParent() string

func (*CreateTrialRequest) GetTrial 

func (x *CreateTrialRequest) GetTrial() *Trial

func (*CreateTrialRequest) ProtoMessage 

func (*CreateTrialRequest) ProtoMessage()

func (*CreateTrialRequest) ProtoReflect 

func (x *CreateTrialRequest) ProtoReflect() protoreflect.Message

func (*CreateTrialRequest) Reset 

func (x *CreateTrialRequest) Reset()

func (*CreateTrialRequest) String 

func (x *CreateTrialRequest) String() string

type CsvDestination 

type CsvDestination struct {

	// Required. Google Cloud Storage location.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
	// contains filtered or unexported fields
}

The storage details for CSV output content.

func (*CsvDestination) Descriptor deprecated 

func (*CsvDestination) Descriptor() ([]byte, []int)

Deprecated: Use CsvDestination.ProtoReflect.Descriptor instead.

func (*CsvDestination) GetGcsDestination 

func (x *CsvDestination) GetGcsDestination() *GcsDestination

func (*CsvDestination) ProtoMessage 

func (*CsvDestination) ProtoMessage()

func (*CsvDestination) ProtoReflect 

func (x *CsvDestination) ProtoReflect() protoreflect.Message

func (*CsvDestination) Reset 

func (x *CsvDestination) Reset()

func (*CsvDestination) String 

func (x *CsvDestination) String() string

type CsvSource 

type CsvSource struct {

	// Required. Google Cloud Storage location.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3" json:"gcs_source,omitempty"`
	// contains filtered or unexported fields
}

The storage details for CSV input content.

func (*CsvSource) Descriptor deprecated 

func (*CsvSource) Descriptor() ([]byte, []int)

Deprecated: Use CsvSource.ProtoReflect.Descriptor instead.

func (*CsvSource) GetGcsSource 

func (x *CsvSource) GetGcsSource() *GcsSource

func (*CsvSource) ProtoMessage 

func (*CsvSource) ProtoMessage()

func (*CsvSource) ProtoReflect 

func (x *CsvSource) ProtoReflect() protoreflect.Message

func (*CsvSource) Reset 

func (x *CsvSource) Reset()

func (*CsvSource) String 

func (x *CsvSource) String() string

type CustomJob 

type CustomJob struct {

	// Output only. Resource name of a CustomJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the CustomJob.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Job spec.
	JobSpec *CustomJobSpec `protobuf:"bytes,4,opt,name=job_spec,json=jobSpec,proto3" json:"job_spec,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,5,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.JobState" json:"state,omitempty"`
	// Output only. Time when the CustomJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the CustomJob for the first time entered the
	// `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the CustomJob entered any of the following states:
	// `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the CustomJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Only populated when job's state is `JOB_STATE_FAILED` or
	// `JOB_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize CustomJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Customer-managed encryption key options for a CustomJob. If this is set,
	// then all resources created by the CustomJob will be encrypted with the
	// provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,12,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).

func (*CustomJob) Descriptor deprecated 

func (*CustomJob) Descriptor() ([]byte, []int)

Deprecated: Use CustomJob.ProtoReflect.Descriptor instead.

func (*CustomJob) GetCreateTime 

func (x *CustomJob) GetCreateTime() *timestamppb.Timestamp

func (*CustomJob) GetDisplayName 

func (x *CustomJob) GetDisplayName() string

func (*CustomJob) GetEncryptionSpec 

func (x *CustomJob) GetEncryptionSpec() *EncryptionSpec

func (*CustomJob) GetEndTime 

func (x *CustomJob) GetEndTime() *timestamppb.Timestamp

func (*CustomJob) GetError 

func (x *CustomJob) GetError() *status.Status

func (*CustomJob) GetJobSpec 

func (x *CustomJob) GetJobSpec() *CustomJobSpec

func (*CustomJob) GetLabels 

func (x *CustomJob) GetLabels() map[string]string

func (*CustomJob) GetName 

func (x *CustomJob) GetName() string

func (*CustomJob) GetStartTime 

func (x *CustomJob) GetStartTime() *timestamppb.Timestamp

func (*CustomJob) GetState 

func (x *CustomJob) GetState() JobState

func (*CustomJob) GetUpdateTime 

func (x *CustomJob) GetUpdateTime() *timestamppb.Timestamp

func (*CustomJob) ProtoMessage 

func (*CustomJob) ProtoMessage()

func (*CustomJob) ProtoReflect 

func (x *CustomJob) ProtoReflect() protoreflect.Message

func (*CustomJob) Reset 

func (x *CustomJob) Reset()

func (*CustomJob) String 

func (x *CustomJob) String() string

type CustomJobSpec 

type CustomJobSpec struct {

	// Required. The spec of the worker pools including machine type and Docker image.
	// All worker pools except the first one are optional and can be skipped by
	// providing an empty value.
	WorkerPoolSpecs []*WorkerPoolSpec `protobuf:"bytes,1,rep,name=worker_pool_specs,json=workerPoolSpecs,proto3" json:"worker_pool_specs,omitempty"`
	// Scheduling options for a CustomJob.
	Scheduling *Scheduling `protobuf:"bytes,3,opt,name=scheduling,proto3" json:"scheduling,omitempty"`
	// Specifies the service account for workload run-as account.
	// Users submitting jobs must have act-as permission on this run-as account.
	// If unspecified, the [AI Platform Custom Code Service
	// Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
	// for the CustomJob's project is used.
	ServiceAccount string `protobuf:"bytes,4,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// The full name of the Compute Engine
	// [network](/compute/docs/networks-and-firewalls#networks) to which the Job
	// should be peered. For example, `projects/12345/global/networks/myVPC`.
	// [Format](/compute/docs/reference/rest/v1/networks/insert)
	// is of the form `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in `12345`, and {network} is a
	// network name.
	//
	// Private services access must already be configured for the network. If left
	// unspecified, the job is not peered with any network.
	Network string `protobuf:"bytes,5,opt,name=network,proto3" json:"network,omitempty"`
	// The Cloud Storage location to store the output of this CustomJob or
	// HyperparameterTuningJob. For HyperparameterTuningJob,
	// the baseOutputDirectory of
	// each child CustomJob backing a Trial is set to a subdirectory of name
	// [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
	// baseOutputDirectory.
	//
	// The following Vertex AI environment variables will be passed to
	// containers or python modules when this field is set:
	//
	//   For CustomJob:
	//
	//   * AIP_MODEL_DIR = `<base_output_directory>/model/`
	//   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
	//   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`
	//
	//   For CustomJob backing a Trial of HyperparameterTuningJob:
	//
	//   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
	//   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
	//   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
	BaseOutputDirectory *GcsDestination `protobuf:"bytes,6,opt,name=base_output_directory,json=baseOutputDirectory,proto3" json:"base_output_directory,omitempty"`
	// Optional. The name of a Vertex AI [Tensorboard][google.cloud.aiplatform.v1beta1.Tensorboard] resource to which this CustomJob
	// will upload Tensorboard logs.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard string `protobuf:"bytes,7,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a CustomJob.

func (*CustomJobSpec) Descriptor deprecated 

func (*CustomJobSpec) Descriptor() ([]byte, []int)

Deprecated: Use CustomJobSpec.ProtoReflect.Descriptor instead.

func (*CustomJobSpec) GetBaseOutputDirectory 

func (x *CustomJobSpec) GetBaseOutputDirectory() *GcsDestination

func (*CustomJobSpec) GetNetwork 

func (x *CustomJobSpec) GetNetwork() string

func (*CustomJobSpec) GetScheduling 

func (x *CustomJobSpec) GetScheduling() *Scheduling

func (*CustomJobSpec) GetServiceAccount 

func (x *CustomJobSpec) GetServiceAccount() string

func (*CustomJobSpec) GetTensorboard 

func (x *CustomJobSpec) GetTensorboard() string

func (*CustomJobSpec) GetWorkerPoolSpecs 

func (x *CustomJobSpec) GetWorkerPoolSpecs() []*WorkerPoolSpec

func (*CustomJobSpec) ProtoMessage 

func (*CustomJobSpec) ProtoMessage()

func (*CustomJobSpec) ProtoReflect 

func (x *CustomJobSpec) ProtoReflect() protoreflect.Message

func (*CustomJobSpec) Reset 

func (x *CustomJobSpec) Reset()

func (*CustomJobSpec) String 

func (x *CustomJobSpec) String() string

type DataItem 

type DataItem struct {

	// Output only. The resource name of the DataItem.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this DataItem was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this DataItem was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize your DataItems.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one DataItem(System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Required. The data that the DataItem represents (for example, an image or a text
	// snippet). The schema of the payload is stored in the parent Dataset's
	// [metadata schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] dataItemSchemaUri field.
	Payload *structpb.Value `protobuf:"bytes,4,opt,name=payload,proto3" json:"payload,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

A piece of data in a Dataset. Could be an image, a video, a document or plain text.

func (*DataItem) Descriptor deprecated 

func (*DataItem) Descriptor() ([]byte, []int)

Deprecated: Use DataItem.ProtoReflect.Descriptor instead.

func (*DataItem) GetCreateTime 

func (x *DataItem) GetCreateTime() *timestamppb.Timestamp

func (*DataItem) GetEtag 

func (x *DataItem) GetEtag() string

func (*DataItem) GetLabels 

func (x *DataItem) GetLabels() map[string]string

func (*DataItem) GetName 

func (x *DataItem) GetName() string

func (*DataItem) GetPayload 

func (x *DataItem) GetPayload() *structpb.Value

func (*DataItem) GetUpdateTime 

func (x *DataItem) GetUpdateTime() *timestamppb.Timestamp

func (*DataItem) ProtoMessage 

func (*DataItem) ProtoMessage()

func (*DataItem) ProtoReflect 

func (x *DataItem) ProtoReflect() protoreflect.Message

func (*DataItem) Reset 

func (x *DataItem) Reset()

func (*DataItem) String 

func (x *DataItem) String() string

type DataLabelingJob 

type DataLabelingJob struct {

	// Output only. Resource name of the DataLabelingJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the DataLabelingJob.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	// Display name of a DataLabelingJob.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Dataset resource names. Right now we only support labeling from a single
	// Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Datasets []string `protobuf:"bytes,3,rep,name=datasets,proto3" json:"datasets,omitempty"`
	// Labels to assign to annotations generated by this DataLabelingJob.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	AnnotationLabels map[string]string `` /* 198-byte string literal not displayed */
	// Required. Number of labelers to work on each DataItem.
	LabelerCount int32 `protobuf:"varint,4,opt,name=labeler_count,json=labelerCount,proto3" json:"labeler_count,omitempty"`
	// Required. The Google Cloud Storage location of the instruction pdf. This pdf is
	// shared with labelers, and provides detailed description on how to label
	// DataItems in Datasets.
	InstructionUri string `protobuf:"bytes,5,opt,name=instruction_uri,json=instructionUri,proto3" json:"instruction_uri,omitempty"`
	// Required. Points to a YAML file stored on Google Cloud Storage describing the
	// config for a specific type of DataLabelingJob.
	// The schema files that can be used here are found in the
	// https://storage.googleapis.com/google-cloud-aiplatform bucket in the
	// /schema/datalabelingjob/inputs/ folder.
	InputsSchemaUri string `protobuf:"bytes,6,opt,name=inputs_schema_uri,json=inputsSchemaUri,proto3" json:"inputs_schema_uri,omitempty"`
	// Required. Input config parameters for the DataLabelingJob.
	Inputs *structpb.Value `protobuf:"bytes,7,opt,name=inputs,proto3" json:"inputs,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.JobState" json:"state,omitempty"`
	// Output only. Current labeling job progress percentage scaled in interval [0, 100],
	// indicating the percentage of DataItems that has been finished.
	LabelingProgress int32 `protobuf:"varint,13,opt,name=labeling_progress,json=labelingProgress,proto3" json:"labeling_progress,omitempty"`
	// Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to
	// date.
	CurrentSpend *money.Money `protobuf:"bytes,14,opt,name=current_spend,json=currentSpend,proto3" json:"current_spend,omitempty"`
	// Output only. Timestamp when this DataLabelingJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this DataLabelingJob was updated most recently.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. DataLabelingJob errors. It is only populated when job's state is
	// `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,22,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize your DataLabelingJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each DataLabelingJob:
	//
	// * "aiplatform.googleapis.com/schema": output only, its value is the
	//   [inputs_schema][google.cloud.aiplatform.v1beta1.DataLabelingJob.inputs_schema_uri]'s title.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// The SpecialistPools' resource names associated with this job.
	SpecialistPools []string `protobuf:"bytes,16,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`
	// Customer-managed encryption key spec for a DataLabelingJob. If set, this
	// DataLabelingJob will be secured by this key.
	//
	// Note: Annotations created in the DataLabelingJob are associated with
	// the EncryptionSpec of the Dataset they are exported to.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,20,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Parameters that configure the active learning pipeline. Active learning
	// will label the data incrementally via several iterations. For every
	// iteration, it will select a batch of data based on the sampling strategy.
	ActiveLearningConfig *ActiveLearningConfig `protobuf:"bytes,21,opt,name=active_learning_config,json=activeLearningConfig,proto3" json:"active_learning_config,omitempty"`
	// contains filtered or unexported fields
}

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

func (*DataLabelingJob) Descriptor deprecated 

func (*DataLabelingJob) Descriptor() ([]byte, []int)

Deprecated: Use DataLabelingJob.ProtoReflect.Descriptor instead.

func (*DataLabelingJob) GetActiveLearningConfig 

func (x *DataLabelingJob) GetActiveLearningConfig() *ActiveLearningConfig

func (*DataLabelingJob) GetAnnotationLabels 

func (x *DataLabelingJob) GetAnnotationLabels() map[string]string

func (*DataLabelingJob) GetCreateTime 

func (x *DataLabelingJob) GetCreateTime() *timestamppb.Timestamp

func (*DataLabelingJob) GetCurrentSpend 

func (x *DataLabelingJob) GetCurrentSpend() *money.Money

func (*DataLabelingJob) GetDatasets 

func (x *DataLabelingJob) GetDatasets() []string

func (*DataLabelingJob) GetDisplayName 

func (x *DataLabelingJob) GetDisplayName() string

func (*DataLabelingJob) GetEncryptionSpec 

func (x *DataLabelingJob) GetEncryptionSpec() *EncryptionSpec

func (*DataLabelingJob) GetError 

func (x *DataLabelingJob) GetError() *status.Status

func (*DataLabelingJob) GetInputs 

func (x *DataLabelingJob) GetInputs() *structpb.Value

func (*DataLabelingJob) GetInputsSchemaUri 

func (x *DataLabelingJob) GetInputsSchemaUri() string

func (*DataLabelingJob) GetInstructionUri 

func (x *DataLabelingJob) GetInstructionUri() string

func (*DataLabelingJob) GetLabelerCount 

func (x *DataLabelingJob) GetLabelerCount() int32

func (*DataLabelingJob) GetLabelingProgress 

func (x *DataLabelingJob) GetLabelingProgress() int32

func (*DataLabelingJob) GetLabels 

func (x *DataLabelingJob) GetLabels() map[string]string

func (*DataLabelingJob) GetName 

func (x *DataLabelingJob) GetName() string

func (*DataLabelingJob) GetSpecialistPools 

func (x *DataLabelingJob) GetSpecialistPools() []string

func (*DataLabelingJob) GetState 

func (x *DataLabelingJob) GetState() JobState

func (*DataLabelingJob) GetUpdateTime 

func (x *DataLabelingJob) GetUpdateTime() *timestamppb.Timestamp

func (*DataLabelingJob) ProtoMessage 

func (*DataLabelingJob) ProtoMessage()

func (*DataLabelingJob) ProtoReflect 

func (x *DataLabelingJob) ProtoReflect() protoreflect.Message

func (*DataLabelingJob) Reset 

func (x *DataLabelingJob) Reset()

func (*DataLabelingJob) String 

func (x *DataLabelingJob) String() string

type Dataset 

type Dataset struct {

	// Output only. The resource name of the Dataset.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the Dataset.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Points to a YAML file stored on Google Cloud Storage describing additional
	// information about the Dataset.
	// The schema is defined as an OpenAPI 3.0.2 Schema Object.
	// The schema files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/dataset/metadata/.
	MetadataSchemaUri string `protobuf:"bytes,3,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
	// Required. Additional information about the Dataset.
	Metadata *structpb.Value `protobuf:"bytes,8,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. Timestamp when this Dataset was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Dataset was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Datasets.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Dataset (System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each Dataset:
	//
	// * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
	//   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Customer-managed encryption key spec for a Dataset. If set, this Dataset
	// and all sub-resources of this Dataset will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

A collection of DataItems and Annotations on them.

func (*Dataset) Descriptor deprecated 

func (*Dataset) Descriptor() ([]byte, []int)

Deprecated: Use Dataset.ProtoReflect.Descriptor instead.

func (*Dataset) GetCreateTime 

func (x *Dataset) GetCreateTime() *timestamppb.Timestamp

func (*Dataset) GetDisplayName 

func (x *Dataset) GetDisplayName() string

func (*Dataset) GetEncryptionSpec 

func (x *Dataset) GetEncryptionSpec() *EncryptionSpec

func (*Dataset) GetEtag 

func (x *Dataset) GetEtag() string

func (*Dataset) GetLabels 

func (x *Dataset) GetLabels() map[string]string

func (*Dataset) GetMetadata 

func (x *Dataset) GetMetadata() *structpb.Value

func (*Dataset) GetMetadataSchemaUri 

func (x *Dataset) GetMetadataSchemaUri() string

func (*Dataset) GetName 

func (x *Dataset) GetName() string

func (*Dataset) GetUpdateTime 

func (x *Dataset) GetUpdateTime() *timestamppb.Timestamp

func (*Dataset) ProtoMessage 

func (*Dataset) ProtoMessage()

func (*Dataset) ProtoReflect 

func (x *Dataset) ProtoReflect() protoreflect.Message

func (*Dataset) Reset 

func (x *Dataset) Reset()

func (*Dataset) String 

func (x *Dataset) String() string

type DatasetServiceClient 

type DatasetServiceClient interface {
	// Creates a Dataset.
	CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a Dataset.
	GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(ctx context.Context, in *UpdateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Imports data into a Dataset.
	ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Exports data from a Dataset.
	ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(ctx context.Context, in *ListDataItemsRequest, opts ...grpc.CallOption) (*ListDataItemsResponse, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(ctx context.Context, in *GetAnnotationSpecRequest, opts ...grpc.CallOption) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	ListAnnotations(ctx context.Context, in *ListAnnotationsRequest, opts ...grpc.CallOption) (*ListAnnotationsResponse, error)
}

DatasetServiceClient is the client API for DatasetService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewDatasetServiceClient 

func NewDatasetServiceClient(cc grpc.ClientConnInterface) DatasetServiceClient

type DatasetServiceServer 

type DatasetServiceServer interface {
	// Creates a Dataset.
	CreateDataset(context.Context, *CreateDatasetRequest) (*longrunning.Operation, error)
	// Gets a Dataset.
	GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)
	// Updates a Dataset.
	UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)
	// Lists Datasets in a Location.
	ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)
	// Deletes a Dataset.
	DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunning.Operation, error)
	// Imports data into a Dataset.
	ImportData(context.Context, *ImportDataRequest) (*longrunning.Operation, error)
	// Exports data from a Dataset.
	ExportData(context.Context, *ExportDataRequest) (*longrunning.Operation, error)
	// Lists DataItems in a Dataset.
	ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)
	// Gets an AnnotationSpec.
	GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)
	// Lists Annotations belongs to a dataitem
	ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)
}

DatasetServiceServer is the server API for DatasetService service.

type DedicatedResources 

type DedicatedResources struct {

	// Required. Immutable. The specification of a single machine used by the prediction.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Required. Immutable. The minimum number of machine replicas this DeployedModel will be always
	// deployed on. If traffic against it increases, it may dynamically be
	// deployed onto more replicas, and as traffic decreases, some of these extra
	// replicas may be freed.
	// Note: if [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
	// above 0, currently the model will be always deployed precisely on
	// [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count].
	MinReplicaCount int32 `protobuf:"varint,2,opt,name=min_replica_count,json=minReplicaCount,proto3" json:"min_replica_count,omitempty"`
	// Immutable. The maximum number of replicas this DeployedModel may be deployed on when
	// the traffic against it increases. If the requested value is too large,
	// the deployment will error, but if deployment succeeds then the ability
	// to scale the model to that many replicas is guaranteed (barring service
	// outages). If traffic against the DeployedModel increases beyond what its
	// replicas at maximum may handle, a portion of the traffic will be dropped.
	// If this value is not provided, will use [min_replica_count][google.cloud.aiplatform.v1beta1.DedicatedResources.min_replica_count] as the
	// default value.
	MaxReplicaCount int32 `protobuf:"varint,3,opt,name=max_replica_count,json=maxReplicaCount,proto3" json:"max_replica_count,omitempty"`
	// Immutable. The metric specifications that overrides a resource
	// utilization metric (CPU utilization, accelerator's duty cycle, and so on)
	// target value (default to 60 if not set). At most one entry is allowed per
	// metric.
	//
	// If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
	// above 0, the autoscaling will be based on both CPU utilization and
	// accelerator's duty cycle metrics and scale up when either metrics exceeds
	// its target value while scale down if both metrics are under their target
	// value. The default target value is 60 for both metrics.
	//
	// If [machine_spec.accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count] is
	// 0, the autoscaling will be based on CPU utilization metric only with
	// default target value 60 if not explicitly set.
	//
	// For example, in the case of Online Prediction, if you want to override
	// target CPU utilization to 80, you should set
	// [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.metric_name]
	// to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
	// [autoscaling_metric_specs.target][google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec.target] to `80`.
	AutoscalingMetricSpecs []*AutoscalingMetricSpec `` /* 129-byte string literal not displayed */
	// contains filtered or unexported fields
}

A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

func (*DedicatedResources) Descriptor deprecated 

func (*DedicatedResources) Descriptor() ([]byte, []int)

Deprecated: Use DedicatedResources.ProtoReflect.Descriptor instead.

func (*DedicatedResources) GetAutoscalingMetricSpecs 

func (x *DedicatedResources) GetAutoscalingMetricSpecs() []*AutoscalingMetricSpec

func (*DedicatedResources) GetMachineSpec 

func (x *DedicatedResources) GetMachineSpec() *MachineSpec

func (*DedicatedResources) GetMaxReplicaCount 

func (x *DedicatedResources) GetMaxReplicaCount() int32

func (*DedicatedResources) GetMinReplicaCount 

func (x *DedicatedResources) GetMinReplicaCount() int32

func (*DedicatedResources) ProtoMessage 

func (*DedicatedResources) ProtoMessage()

func (*DedicatedResources) ProtoReflect 

func (x *DedicatedResources) ProtoReflect() protoreflect.Message

func (*DedicatedResources) Reset 

func (x *DedicatedResources) Reset()

func (*DedicatedResources) String 

func (x *DedicatedResources) String() string

type DeleteBatchPredictionJobRequest 

type DeleteBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].

func (*DeleteBatchPredictionJobRequest) Descriptor deprecated 

func (*DeleteBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteBatchPredictionJobRequest) GetName 

func (x *DeleteBatchPredictionJobRequest) GetName() string

func (*DeleteBatchPredictionJobRequest) ProtoMessage 

func (*DeleteBatchPredictionJobRequest) ProtoMessage()

func (*DeleteBatchPredictionJobRequest) ProtoReflect 

func (x *DeleteBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteBatchPredictionJobRequest) Reset 

func (x *DeleteBatchPredictionJobRequest) Reset()

func (*DeleteBatchPredictionJobRequest) String 

func (x *DeleteBatchPredictionJobRequest) String() string

type DeleteContextRequest 

type DeleteContextRequest struct {

	// Required. The resource name of the Context to retrieve.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any child resources of this Context will be deleted.
	// (Otherwise, the request will fail with a FAILED_PRECONDITION error if the
	// Context has any child resources, such as another Context, Artifact, or
	// Execution).
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].

func (*DeleteContextRequest) Descriptor deprecated 

func (*DeleteContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteContextRequest.ProtoReflect.Descriptor instead.

func (*DeleteContextRequest) GetForce 

func (x *DeleteContextRequest) GetForce() bool

func (*DeleteContextRequest) GetName 

func (x *DeleteContextRequest) GetName() string

func (*DeleteContextRequest) ProtoMessage 

func (*DeleteContextRequest) ProtoMessage()

func (*DeleteContextRequest) ProtoReflect 

func (x *DeleteContextRequest) ProtoReflect() protoreflect.Message

func (*DeleteContextRequest) Reset 

func (x *DeleteContextRequest) Reset()

func (*DeleteContextRequest) String 

func (x *DeleteContextRequest) String() string

type DeleteCustomJobRequest 

type DeleteCustomJobRequest struct {

	// Required. The name of the CustomJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].

func (*DeleteCustomJobRequest) Descriptor deprecated 

func (*DeleteCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteCustomJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteCustomJobRequest) GetName 

func (x *DeleteCustomJobRequest) GetName() string

func (*DeleteCustomJobRequest) ProtoMessage 

func (*DeleteCustomJobRequest) ProtoMessage()

func (*DeleteCustomJobRequest) ProtoReflect 

func (x *DeleteCustomJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteCustomJobRequest) Reset 

func (x *DeleteCustomJobRequest) Reset()

func (*DeleteCustomJobRequest) String 

func (x *DeleteCustomJobRequest) String() string

type DeleteDataLabelingJobRequest 

type DeleteDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].

func (*DeleteDataLabelingJobRequest) Descriptor deprecated 

func (*DeleteDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteDataLabelingJobRequest) GetName 

func (x *DeleteDataLabelingJobRequest) GetName() string

func (*DeleteDataLabelingJobRequest) ProtoMessage 

func (*DeleteDataLabelingJobRequest) ProtoMessage()

func (*DeleteDataLabelingJobRequest) ProtoReflect 

func (x *DeleteDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteDataLabelingJobRequest) Reset 

func (x *DeleteDataLabelingJobRequest) Reset()

func (*DeleteDataLabelingJobRequest) String 

func (x *DeleteDataLabelingJobRequest) String() string

type DeleteDatasetRequest 

type DeleteDatasetRequest struct {

	// Required. The resource name of the Dataset to delete.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].

func (*DeleteDatasetRequest) Descriptor deprecated 

func (*DeleteDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteDatasetRequest.ProtoReflect.Descriptor instead.

func (*DeleteDatasetRequest) GetName 

func (x *DeleteDatasetRequest) GetName() string

func (*DeleteDatasetRequest) ProtoMessage 

func (*DeleteDatasetRequest) ProtoMessage()

func (*DeleteDatasetRequest) ProtoReflect 

func (x *DeleteDatasetRequest) ProtoReflect() protoreflect.Message

func (*DeleteDatasetRequest) Reset 

func (x *DeleteDatasetRequest) Reset()

func (*DeleteDatasetRequest) String 

func (x *DeleteDatasetRequest) String() string

type DeleteEndpointRequest 

type DeleteEndpointRequest struct {

	// Required. The name of the Endpoint resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].

func (*DeleteEndpointRequest) Descriptor deprecated 

func (*DeleteEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteEndpointRequest.ProtoReflect.Descriptor instead.

func (*DeleteEndpointRequest) GetName 

func (x *DeleteEndpointRequest) GetName() string

func (*DeleteEndpointRequest) ProtoMessage 

func (*DeleteEndpointRequest) ProtoMessage()

func (*DeleteEndpointRequest) ProtoReflect 

func (x *DeleteEndpointRequest) ProtoReflect() protoreflect.Message

func (*DeleteEndpointRequest) Reset 

func (x *DeleteEndpointRequest) Reset()

func (*DeleteEndpointRequest) String 

func (x *DeleteEndpointRequest) String() string

type DeleteEntityTypeRequest 

type DeleteEntityTypeRequest struct {

	// Required. The name of the EntityType to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any Features for this EntityType will also be deleted.
	// (Otherwise, the request will only work if the EntityType has no Features.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteEntityTypes][].

func (*DeleteEntityTypeRequest) Descriptor deprecated 

func (*DeleteEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*DeleteEntityTypeRequest) GetForce 

func (x *DeleteEntityTypeRequest) GetForce() bool

func (*DeleteEntityTypeRequest) GetName 

func (x *DeleteEntityTypeRequest) GetName() string

func (*DeleteEntityTypeRequest) ProtoMessage 

func (*DeleteEntityTypeRequest) ProtoMessage()

func (*DeleteEntityTypeRequest) ProtoReflect 

func (x *DeleteEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*DeleteEntityTypeRequest) Reset 

func (x *DeleteEntityTypeRequest) Reset()

func (*DeleteEntityTypeRequest) String 

func (x *DeleteEntityTypeRequest) String() string

type DeleteFeatureRequest 

type DeleteFeatureRequest struct {

	// Required. The name of the Features to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].

func (*DeleteFeatureRequest) Descriptor deprecated 

func (*DeleteFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeatureRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeatureRequest) GetName 

func (x *DeleteFeatureRequest) GetName() string

func (*DeleteFeatureRequest) ProtoMessage 

func (*DeleteFeatureRequest) ProtoMessage()

func (*DeleteFeatureRequest) ProtoReflect 

func (x *DeleteFeatureRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeatureRequest) Reset 

func (x *DeleteFeatureRequest) Reset()

func (*DeleteFeatureRequest) String 

func (x *DeleteFeatureRequest) String() string

type DeleteFeaturestoreRequest 

type DeleteFeaturestoreRequest struct {

	// Required. The name of the Featurestore to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any EntityTypes and Features for this Featurestore will
	// also be deleted. (Otherwise, the request will only work if the Featurestore
	// has no EntityTypes.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].

func (*DeleteFeaturestoreRequest) Descriptor deprecated 

func (*DeleteFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*DeleteFeaturestoreRequest) GetForce 

func (x *DeleteFeaturestoreRequest) GetForce() bool

func (*DeleteFeaturestoreRequest) GetName 

func (x *DeleteFeaturestoreRequest) GetName() string

func (*DeleteFeaturestoreRequest) ProtoMessage 

func (*DeleteFeaturestoreRequest) ProtoMessage()

func (*DeleteFeaturestoreRequest) ProtoReflect 

func (x *DeleteFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*DeleteFeaturestoreRequest) Reset 

func (x *DeleteFeaturestoreRequest) Reset()

func (*DeleteFeaturestoreRequest) String 

func (x *DeleteFeaturestoreRequest) String() string

type DeleteHyperparameterTuningJobRequest 

type DeleteHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].

func (*DeleteHyperparameterTuningJobRequest) Descriptor deprecated 

func (*DeleteHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteHyperparameterTuningJobRequest) GetName 

func (x *DeleteHyperparameterTuningJobRequest) GetName() string

func (*DeleteHyperparameterTuningJobRequest) ProtoMessage 

func (*DeleteHyperparameterTuningJobRequest) ProtoMessage()

func (*DeleteHyperparameterTuningJobRequest) ProtoReflect 

func (x *DeleteHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteHyperparameterTuningJobRequest) Reset 

func (x *DeleteHyperparameterTuningJobRequest) Reset()

func (*DeleteHyperparameterTuningJobRequest) String 

func (x *DeleteHyperparameterTuningJobRequest) String() string

type DeleteIndexEndpointRequest 

type DeleteIndexEndpointRequest struct {

	// Required. The name of the IndexEndpoint resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].

func (*DeleteIndexEndpointRequest) Descriptor deprecated 

func (*DeleteIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*DeleteIndexEndpointRequest) GetName 

func (x *DeleteIndexEndpointRequest) GetName() string

func (*DeleteIndexEndpointRequest) ProtoMessage 

func (*DeleteIndexEndpointRequest) ProtoMessage()

func (*DeleteIndexEndpointRequest) ProtoReflect 

func (x *DeleteIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*DeleteIndexEndpointRequest) Reset 

func (x *DeleteIndexEndpointRequest) Reset()

func (*DeleteIndexEndpointRequest) String 

func (x *DeleteIndexEndpointRequest) String() string

type DeleteIndexRequest 

type DeleteIndexRequest struct {

	// Required. The name of the Index resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].

func (*DeleteIndexRequest) Descriptor deprecated 

func (*DeleteIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteIndexRequest.ProtoReflect.Descriptor instead.

func (*DeleteIndexRequest) GetName 

func (x *DeleteIndexRequest) GetName() string

func (*DeleteIndexRequest) ProtoMessage 

func (*DeleteIndexRequest) ProtoMessage()

func (*DeleteIndexRequest) ProtoReflect 

func (x *DeleteIndexRequest) ProtoReflect() protoreflect.Message

func (*DeleteIndexRequest) Reset 

func (x *DeleteIndexRequest) Reset()

func (*DeleteIndexRequest) String 

func (x *DeleteIndexRequest) String() string

type DeleteMetadataStoreOperationMetadata 

type DeleteMetadataStoreOperationMetadata struct {

	// Operation metadata for deleting a MetadataStore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].

func (*DeleteMetadataStoreOperationMetadata) Descriptor deprecated 

func (*DeleteMetadataStoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteMetadataStoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteMetadataStoreOperationMetadata) GetGenericMetadata 

func (x *DeleteMetadataStoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteMetadataStoreOperationMetadata) ProtoMessage 

func (*DeleteMetadataStoreOperationMetadata) ProtoMessage()

func (*DeleteMetadataStoreOperationMetadata) ProtoReflect 

func (x *DeleteMetadataStoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteMetadataStoreOperationMetadata) Reset 

func (x *DeleteMetadataStoreOperationMetadata) Reset()

func (*DeleteMetadataStoreOperationMetadata) String 

func (x *DeleteMetadataStoreOperationMetadata) String() string

type DeleteMetadataStoreRequest 

type DeleteMetadataStoreRequest struct {

	// Required. The resource name of the MetadataStore to delete.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any child resources of this MetadataStore will be deleted.
	// (Otherwise, the request will fail with a FAILED_PRECONDITION error if the
	// MetadataStore has any child resources.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].

func (*DeleteMetadataStoreRequest) Descriptor deprecated 

func (*DeleteMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*DeleteMetadataStoreRequest) GetForce 

func (x *DeleteMetadataStoreRequest) GetForce() bool

func (*DeleteMetadataStoreRequest) GetName 

func (x *DeleteMetadataStoreRequest) GetName() string

func (*DeleteMetadataStoreRequest) ProtoMessage 

func (*DeleteMetadataStoreRequest) ProtoMessage()

func (*DeleteMetadataStoreRequest) ProtoReflect 

func (x *DeleteMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*DeleteMetadataStoreRequest) Reset 

func (x *DeleteMetadataStoreRequest) Reset()

func (*DeleteMetadataStoreRequest) String 

func (x *DeleteMetadataStoreRequest) String() string

type DeleteModelDeploymentMonitoringJobRequest 

type DeleteModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the model monitoring job to delete.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.DeleteModelDeploymentMonitoringJob].

func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor deprecated 

func (*DeleteModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelDeploymentMonitoringJobRequest) GetName 

func (x *DeleteModelDeploymentMonitoringJobRequest) GetName() string

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*DeleteModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *DeleteModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelDeploymentMonitoringJobRequest) Reset 

func (x *DeleteModelDeploymentMonitoringJobRequest) Reset()

func (*DeleteModelDeploymentMonitoringJobRequest) String 

func (x *DeleteModelDeploymentMonitoringJobRequest) String() string

type DeleteModelRequest 

type DeleteModelRequest struct {

	// Required. The name of the Model resource to be deleted.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].

func (*DeleteModelRequest) Descriptor deprecated 

func (*DeleteModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteModelRequest.ProtoReflect.Descriptor instead.

func (*DeleteModelRequest) GetName 

func (x *DeleteModelRequest) GetName() string

func (*DeleteModelRequest) ProtoMessage 

func (*DeleteModelRequest) ProtoMessage()

func (*DeleteModelRequest) ProtoReflect 

func (x *DeleteModelRequest) ProtoReflect() protoreflect.Message

func (*DeleteModelRequest) Reset 

func (x *DeleteModelRequest) Reset()

func (*DeleteModelRequest) String 

func (x *DeleteModelRequest) String() string

type DeleteOperationMetadata 

type DeleteOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform deletes of any entities.

func (*DeleteOperationMetadata) Descriptor deprecated 

func (*DeleteOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeleteOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeleteOperationMetadata) GetGenericMetadata 

func (x *DeleteOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeleteOperationMetadata) ProtoMessage 

func (*DeleteOperationMetadata) ProtoMessage()

func (*DeleteOperationMetadata) ProtoReflect 

func (x *DeleteOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeleteOperationMetadata) Reset 

func (x *DeleteOperationMetadata) Reset()

func (*DeleteOperationMetadata) String 

func (x *DeleteOperationMetadata) String() string

type DeletePipelineJobRequest 

type DeletePipelineJobRequest struct {

	// Required. The name of the PipelineJob resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].

func (*DeletePipelineJobRequest) Descriptor deprecated 

func (*DeletePipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeletePipelineJobRequest.ProtoReflect.Descriptor instead.

func (*DeletePipelineJobRequest) GetName 

func (x *DeletePipelineJobRequest) GetName() string

func (*DeletePipelineJobRequest) ProtoMessage 

func (*DeletePipelineJobRequest) ProtoMessage()

func (*DeletePipelineJobRequest) ProtoReflect 

func (x *DeletePipelineJobRequest) ProtoReflect() protoreflect.Message

func (*DeletePipelineJobRequest) Reset 

func (x *DeletePipelineJobRequest) Reset()

func (*DeletePipelineJobRequest) String 

func (x *DeletePipelineJobRequest) String() string

type DeleteSpecialistPoolRequest 

type DeleteSpecialistPoolRequest struct {

	// Required. The resource name of the SpecialistPool to delete. Format:
	// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// If set to true, any specialist managers in this SpecialistPool will also be
	// deleted. (Otherwise, the request will only work if the SpecialistPool has
	// no specialist managers.)
	Force bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].

func (*DeleteSpecialistPoolRequest) Descriptor deprecated 

func (*DeleteSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*DeleteSpecialistPoolRequest) GetForce 

func (x *DeleteSpecialistPoolRequest) GetForce() bool

func (*DeleteSpecialistPoolRequest) GetName 

func (x *DeleteSpecialistPoolRequest) GetName() string

func (*DeleteSpecialistPoolRequest) ProtoMessage 

func (*DeleteSpecialistPoolRequest) ProtoMessage()

func (*DeleteSpecialistPoolRequest) ProtoReflect 

func (x *DeleteSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*DeleteSpecialistPoolRequest) Reset 

func (x *DeleteSpecialistPoolRequest) Reset()

func (*DeleteSpecialistPoolRequest) String 

func (x *DeleteSpecialistPoolRequest) String() string

type DeleteStudyRequest 

type DeleteStudyRequest struct {

	// Required. The name of the Study resource to be deleted.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].

func (*DeleteStudyRequest) Descriptor deprecated 

func (*DeleteStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteStudyRequest.ProtoReflect.Descriptor instead.

func (*DeleteStudyRequest) GetName 

func (x *DeleteStudyRequest) GetName() string

func (*DeleteStudyRequest) ProtoMessage 

func (*DeleteStudyRequest) ProtoMessage()

func (*DeleteStudyRequest) ProtoReflect 

func (x *DeleteStudyRequest) ProtoReflect() protoreflect.Message

func (*DeleteStudyRequest) Reset 

func (x *DeleteStudyRequest) Reset()

func (*DeleteStudyRequest) String 

func (x *DeleteStudyRequest) String() string

type DeleteTensorboardExperimentRequest 

type DeleteTensorboardExperimentRequest struct {

	// Required. The name of the TensorboardExperiment to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].

func (*DeleteTensorboardExperimentRequest) Descriptor deprecated 

func (*DeleteTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardExperimentRequest) GetName 

func (x *DeleteTensorboardExperimentRequest) GetName() string

func (*DeleteTensorboardExperimentRequest) ProtoMessage 

func (*DeleteTensorboardExperimentRequest) ProtoMessage()

func (*DeleteTensorboardExperimentRequest) ProtoReflect 

func (x *DeleteTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardExperimentRequest) Reset 

func (x *DeleteTensorboardExperimentRequest) Reset()

func (*DeleteTensorboardExperimentRequest) String 

func (x *DeleteTensorboardExperimentRequest) String() string

type DeleteTensorboardRequest 

type DeleteTensorboardRequest struct {

	// Required. The name of the Tensorboard to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].

func (*DeleteTensorboardRequest) Descriptor deprecated 

func (*DeleteTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardRequest) GetName 

func (x *DeleteTensorboardRequest) GetName() string

func (*DeleteTensorboardRequest) ProtoMessage 

func (*DeleteTensorboardRequest) ProtoMessage()

func (*DeleteTensorboardRequest) ProtoReflect 

func (x *DeleteTensorboardRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardRequest) Reset 

func (x *DeleteTensorboardRequest) Reset()

func (*DeleteTensorboardRequest) String 

func (x *DeleteTensorboardRequest) String() string

type DeleteTensorboardRunRequest 

type DeleteTensorboardRunRequest struct {

	// Required. The name of the TensorboardRun to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].

func (*DeleteTensorboardRunRequest) Descriptor deprecated 

func (*DeleteTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardRunRequest) GetName 

func (x *DeleteTensorboardRunRequest) GetName() string

func (*DeleteTensorboardRunRequest) ProtoMessage 

func (*DeleteTensorboardRunRequest) ProtoMessage()

func (*DeleteTensorboardRunRequest) ProtoReflect 

func (x *DeleteTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardRunRequest) Reset 

func (x *DeleteTensorboardRunRequest) Reset()

func (*DeleteTensorboardRunRequest) String 

func (x *DeleteTensorboardRunRequest) String() string

type DeleteTensorboardTimeSeriesRequest 

type DeleteTensorboardTimeSeriesRequest struct {

	// Required. The name of the TensorboardTimeSeries to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].

func (*DeleteTensorboardTimeSeriesRequest) Descriptor deprecated 

func (*DeleteTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*DeleteTensorboardTimeSeriesRequest) GetName 

func (x *DeleteTensorboardTimeSeriesRequest) GetName() string

func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage 

func (*DeleteTensorboardTimeSeriesRequest) ProtoMessage()

func (*DeleteTensorboardTimeSeriesRequest) ProtoReflect 

func (x *DeleteTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*DeleteTensorboardTimeSeriesRequest) Reset 

func (x *DeleteTensorboardTimeSeriesRequest) Reset()

func (*DeleteTensorboardTimeSeriesRequest) String 

func (x *DeleteTensorboardTimeSeriesRequest) String() string

type DeleteTrainingPipelineRequest 

type DeleteTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].

func (*DeleteTrainingPipelineRequest) Descriptor deprecated 

func (*DeleteTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*DeleteTrainingPipelineRequest) GetName 

func (x *DeleteTrainingPipelineRequest) GetName() string

func (*DeleteTrainingPipelineRequest) ProtoMessage 

func (*DeleteTrainingPipelineRequest) ProtoMessage()

func (*DeleteTrainingPipelineRequest) ProtoReflect 

func (x *DeleteTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*DeleteTrainingPipelineRequest) Reset 

func (x *DeleteTrainingPipelineRequest) Reset()

func (*DeleteTrainingPipelineRequest) String 

func (x *DeleteTrainingPipelineRequest) String() string

type DeleteTrialRequest 

type DeleteTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].

func (*DeleteTrialRequest) Descriptor deprecated 

func (*DeleteTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeleteTrialRequest.ProtoReflect.Descriptor instead.

func (*DeleteTrialRequest) GetName 

func (x *DeleteTrialRequest) GetName() string

func (*DeleteTrialRequest) ProtoMessage 

func (*DeleteTrialRequest) ProtoMessage()

func (*DeleteTrialRequest) ProtoReflect 

func (x *DeleteTrialRequest) ProtoReflect() protoreflect.Message

func (*DeleteTrialRequest) Reset 

func (x *DeleteTrialRequest) Reset()

func (*DeleteTrialRequest) String 

func (x *DeleteTrialRequest) String() string

type DeployIndexOperationMetadata 

type DeployIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].

func (*DeployIndexOperationMetadata) Descriptor deprecated 

func (*DeployIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeployIndexOperationMetadata) GetGenericMetadata 

func (x *DeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeployIndexOperationMetadata) ProtoMessage 

func (*DeployIndexOperationMetadata) ProtoMessage()

func (*DeployIndexOperationMetadata) ProtoReflect 

func (x *DeployIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeployIndexOperationMetadata) Reset 

func (x *DeployIndexOperationMetadata) Reset()

func (*DeployIndexOperationMetadata) String 

func (x *DeployIndexOperationMetadata) String() string

type DeployIndexRequest 

type DeployIndexRequest struct {

	// Required. The name of the IndexEndpoint resource into which to deploy an Index.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The DeployedIndex to be created within the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,2,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].

func (*DeployIndexRequest) Descriptor deprecated 

func (*DeployIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexRequest.ProtoReflect.Descriptor instead.

func (*DeployIndexRequest) GetDeployedIndex 

func (x *DeployIndexRequest) GetDeployedIndex() *DeployedIndex

func (*DeployIndexRequest) GetIndexEndpoint 

func (x *DeployIndexRequest) GetIndexEndpoint() string

func (*DeployIndexRequest) ProtoMessage 

func (*DeployIndexRequest) ProtoMessage()

func (*DeployIndexRequest) ProtoReflect 

func (x *DeployIndexRequest) ProtoReflect() protoreflect.Message

func (*DeployIndexRequest) Reset 

func (x *DeployIndexRequest) Reset()

func (*DeployIndexRequest) String 

func (x *DeployIndexRequest) String() string

type DeployIndexResponse 

type DeployIndexResponse struct {

	// The DeployedIndex that had been deployed in the IndexEndpoint.
	DeployedIndex *DeployedIndex `protobuf:"bytes,1,opt,name=deployed_index,json=deployedIndex,proto3" json:"deployed_index,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].

func (*DeployIndexResponse) Descriptor deprecated 

func (*DeployIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeployIndexResponse.ProtoReflect.Descriptor instead.

func (*DeployIndexResponse) GetDeployedIndex 

func (x *DeployIndexResponse) GetDeployedIndex() *DeployedIndex

func (*DeployIndexResponse) ProtoMessage 

func (*DeployIndexResponse) ProtoMessage()

func (*DeployIndexResponse) ProtoReflect 

func (x *DeployIndexResponse) ProtoReflect() protoreflect.Message

func (*DeployIndexResponse) Reset 

func (x *DeployIndexResponse) Reset()

func (*DeployIndexResponse) String 

func (x *DeployIndexResponse) String() string

type DeployModelOperationMetadata 

type DeployModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].

func (*DeployModelOperationMetadata) Descriptor deprecated 

func (*DeployModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*DeployModelOperationMetadata) GetGenericMetadata 

func (x *DeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*DeployModelOperationMetadata) ProtoMessage 

func (*DeployModelOperationMetadata) ProtoMessage()

func (*DeployModelOperationMetadata) ProtoReflect 

func (x *DeployModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*DeployModelOperationMetadata) Reset 

func (x *DeployModelOperationMetadata) Reset()

func (*DeployModelOperationMetadata) String 

func (x *DeployModelOperationMetadata) String() string

type DeployModelRequest 

type DeployModelRequest struct {

	// Required. The name of the Endpoint resource into which to deploy a Model.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The DeployedModel to be created within the Endpoint. Note that
	// [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] must be updated for the DeployedModel to start
	// receiving traffic, either as part of this call, or via
	// [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].
	DeployedModel *DeployedModel `protobuf:"bytes,2,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// A map from a DeployedModel's ID to the percentage of this Endpoint's
	// traffic that should be forwarded to that DeployedModel.
	//
	// If this field is non-empty, then the Endpoint's
	// [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it.
	// To refer to the ID of the just being deployed Model, a "0" should be used,
	// and the actual ID of the new DeployedModel will be filled in its place by
	// this method. The traffic percentage values must add up to 100.
	//
	// If this field is empty, then the Endpoint's
	// [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] is not updated.
	TrafficSplit map[string]int32 `` /* 186-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].

func (*DeployModelRequest) Descriptor deprecated 

func (*DeployModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelRequest.ProtoReflect.Descriptor instead.

func (*DeployModelRequest) GetDeployedModel 

func (x *DeployModelRequest) GetDeployedModel() *DeployedModel

func (*DeployModelRequest) GetEndpoint 

func (x *DeployModelRequest) GetEndpoint() string

func (*DeployModelRequest) GetTrafficSplit 

func (x *DeployModelRequest) GetTrafficSplit() map[string]int32

func (*DeployModelRequest) ProtoMessage 

func (*DeployModelRequest) ProtoMessage()

func (*DeployModelRequest) ProtoReflect 

func (x *DeployModelRequest) ProtoReflect() protoreflect.Message

func (*DeployModelRequest) Reset 

func (x *DeployModelRequest) Reset()

func (*DeployModelRequest) String 

func (x *DeployModelRequest) String() string

type DeployModelResponse 

type DeployModelResponse struct {

	// The DeployedModel that had been deployed in the Endpoint.
	DeployedModel *DeployedModel `protobuf:"bytes,1,opt,name=deployed_model,json=deployedModel,proto3" json:"deployed_model,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].

func (*DeployModelResponse) Descriptor deprecated 

func (*DeployModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use DeployModelResponse.ProtoReflect.Descriptor instead.

func (*DeployModelResponse) GetDeployedModel 

func (x *DeployModelResponse) GetDeployedModel() *DeployedModel

func (*DeployModelResponse) ProtoMessage 

func (*DeployModelResponse) ProtoMessage()

func (*DeployModelResponse) ProtoReflect 

func (x *DeployModelResponse) ProtoReflect() protoreflect.Message

func (*DeployModelResponse) Reset 

func (x *DeployModelResponse) Reset()

func (*DeployModelResponse) String 

func (x *DeployModelResponse) String() string

type DeployedIndex 

type DeployedIndex struct {

	// Required. The user specified ID of the DeployedIndex.
	// The ID can be up to 128 characters long and must start with a letter and
	// only contain letters, numbers, and underscores.
	// The ID must be unique within the project it is created in.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Required. The name of the Index this is the deployment of.
	// We may refer to this Index as the DeployedIndex's "original" Index.
	Index string `protobuf:"bytes,2,opt,name=index,proto3" json:"index,omitempty"`
	// The display name of the DeployedIndex. If not provided upon creation,
	// the Index's display_name is used.
	DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Timestamp when the DeployedIndex was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Provides paths for users to send requests directly to the deployed index
	// services running on Cloud via private services access. This field is
	// populated if [network][google.cloud.aiplatform.v1beta1.IndexEndpoint.network] is configured.
	PrivateEndpoints *IndexPrivateEndpoints `protobuf:"bytes,5,opt,name=private_endpoints,json=privateEndpoints,proto3" json:"private_endpoints,omitempty"`
	// Output only. The DeployedIndex may depend on various data on its original Index.
	// Additionally when certain changes to the original Index are being done
	// (e.g. when what the Index contains is being changed) the DeployedIndex may
	// be asynchronously updated in the background to reflect this changes.
	// If this timestamp's value is at least the [Index.update_time][google.cloud.aiplatform.v1beta1.Index.update_time] of the
	// original Index, it means that this DeployedIndex and the original Index are
	// in sync. If this timestamp is older, then to see which updates this
	// DeployedIndex already contains (and which not), one must
	// [list][Operations.ListOperations] [Operations][Operation]
	// [working][Operation.name] on the original Index. Only
	// the successfully completed Operations with
	// [Operations.metadata.generic_metadata.update_time]
	// [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time]
	// equal or before this sync time are contained in this DeployedIndex.
	IndexSyncTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=index_sync_time,json=indexSyncTime,proto3" json:"index_sync_time,omitempty"`
	// Optional. A description of resources that the DeployedIndex uses, which to large
	// degree are decided by Vertex AI, and optionally allows only a modest
	// additional configuration.
	// If min_replica_count is not set, the default value is 1. If
	// max_replica_count is not set, the default value is min_replica_count. The
	// max allowed replica count is 1000.
	//
	// The user is billed for the resources (at least their minimal amount) even
	// if the DeployedIndex receives no traffic.
	AutomaticResources *AutomaticResources `protobuf:"bytes,7,opt,name=automatic_resources,json=automaticResources,proto3" json:"automatic_resources,omitempty"`
	// Optional. If true, private endpoint's access logs are sent to StackDriver Logging.
	//
	// These logs are like standard server access logs, containing
	// information like timestamp and latency for each MatchRequest.
	//
	// Note that Stackdriver logs may incur a cost, especially if the deployed
	// index receives a high queries per second rate (QPS).
	// Estimate your costs before enabling this option.
	EnableAccessLogging bool `protobuf:"varint,8,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`
	// Optional. If set, the authentication is enabled for the private endpoint.
	DeployedIndexAuthConfig *DeployedIndexAuthConfig `` /* 134-byte string literal not displayed */
	// contains filtered or unexported fields
}

A deployment of an Index. IndexEndpoints contain one or more DeployedIndexes.

func (*DeployedIndex) Descriptor deprecated 

func (*DeployedIndex) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndex.ProtoReflect.Descriptor instead.

func (*DeployedIndex) GetAutomaticResources 

func (x *DeployedIndex) GetAutomaticResources() *AutomaticResources

func (*DeployedIndex) GetCreateTime 

func (x *DeployedIndex) GetCreateTime() *timestamppb.Timestamp

func (*DeployedIndex) GetDeployedIndexAuthConfig 

func (x *DeployedIndex) GetDeployedIndexAuthConfig() *DeployedIndexAuthConfig

func (*DeployedIndex) GetDisplayName 

func (x *DeployedIndex) GetDisplayName() string

func (*DeployedIndex) GetEnableAccessLogging 

func (x *DeployedIndex) GetEnableAccessLogging() bool

func (*DeployedIndex) GetId 

func (x *DeployedIndex) GetId() string

func (*DeployedIndex) GetIndex 

func (x *DeployedIndex) GetIndex() string

func (*DeployedIndex) GetIndexSyncTime 

func (x *DeployedIndex) GetIndexSyncTime() *timestamppb.Timestamp

func (*DeployedIndex) GetPrivateEndpoints 

func (x *DeployedIndex) GetPrivateEndpoints() *IndexPrivateEndpoints

func (*DeployedIndex) ProtoMessage 

func (*DeployedIndex) ProtoMessage()

func (*DeployedIndex) ProtoReflect 

func (x *DeployedIndex) ProtoReflect() protoreflect.Message

func (*DeployedIndex) Reset 

func (x *DeployedIndex) Reset()

func (*DeployedIndex) String 

func (x *DeployedIndex) String() string

type DeployedIndexAuthConfig 

type DeployedIndexAuthConfig struct {

	// Defines the authentication provider that the DeployedIndex uses.
	AuthProvider *DeployedIndexAuthConfig_AuthProvider `protobuf:"bytes,1,opt,name=auth_provider,json=authProvider,proto3" json:"auth_provider,omitempty"`
	// contains filtered or unexported fields
}

Used to set up the auth on the DeployedIndex's private endpoint.

func (*DeployedIndexAuthConfig) Descriptor deprecated 

func (*DeployedIndexAuthConfig) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexAuthConfig.ProtoReflect.Descriptor instead.

func (*DeployedIndexAuthConfig) GetAuthProvider 

func (x *DeployedIndexAuthConfig) GetAuthProvider() *DeployedIndexAuthConfig_AuthProvider

func (*DeployedIndexAuthConfig) ProtoMessage 

func (*DeployedIndexAuthConfig) ProtoMessage()

func (*DeployedIndexAuthConfig) ProtoReflect 

func (x *DeployedIndexAuthConfig) ProtoReflect() protoreflect.Message

func (*DeployedIndexAuthConfig) Reset 

func (x *DeployedIndexAuthConfig) Reset()

func (*DeployedIndexAuthConfig) String 

func (x *DeployedIndexAuthConfig) String() string

type DeployedIndexAuthConfig_AuthProvider 

type DeployedIndexAuthConfig_AuthProvider struct {

	// The list of JWT
	// [audiences](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32#section-4.1.3).
	// that are allowed to access. A JWT containing any of these audiences will
	// be accepted.
	Audiences []string `protobuf:"bytes,1,rep,name=audiences,proto3" json:"audiences,omitempty"`
	// A list of allowed JWT issuers. Each entry must be a valid Google
	// service account, in the following format:
	//
	// `service-account-name@project-id.iam.gserviceaccount.com`
	AllowedIssuers []string `protobuf:"bytes,2,rep,name=allowed_issuers,json=allowedIssuers,proto3" json:"allowed_issuers,omitempty"`
	// contains filtered or unexported fields
}

Configuration for an authentication provider, including support for [JSON Web Token (JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).

func (*DeployedIndexAuthConfig_AuthProvider) Descriptor deprecated 

func (*DeployedIndexAuthConfig_AuthProvider) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexAuthConfig_AuthProvider.ProtoReflect.Descriptor instead.

func (*DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers 

func (x *DeployedIndexAuthConfig_AuthProvider) GetAllowedIssuers() []string

func (*DeployedIndexAuthConfig_AuthProvider) GetAudiences 

func (x *DeployedIndexAuthConfig_AuthProvider) GetAudiences() []string

func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage 

func (*DeployedIndexAuthConfig_AuthProvider) ProtoMessage()

func (*DeployedIndexAuthConfig_AuthProvider) ProtoReflect 

func (x *DeployedIndexAuthConfig_AuthProvider) ProtoReflect() protoreflect.Message

func (*DeployedIndexAuthConfig_AuthProvider) Reset 

func (x *DeployedIndexAuthConfig_AuthProvider) Reset()

func (*DeployedIndexAuthConfig_AuthProvider) String 

func (x *DeployedIndexAuthConfig_AuthProvider) String() string

type DeployedIndexRef 

type DeployedIndexRef struct {

	// Immutable. A resource name of the IndexEndpoint.
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Immutable. The ID of the DeployedIndex in the above IndexEndpoint.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Points to a DeployedIndex.

func (*DeployedIndexRef) Descriptor deprecated 

func (*DeployedIndexRef) Descriptor() ([]byte, []int)

Deprecated: Use DeployedIndexRef.ProtoReflect.Descriptor instead.

func (*DeployedIndexRef) GetDeployedIndexId 

func (x *DeployedIndexRef) GetDeployedIndexId() string

func (*DeployedIndexRef) GetIndexEndpoint 

func (x *DeployedIndexRef) GetIndexEndpoint() string

func (*DeployedIndexRef) ProtoMessage 

func (*DeployedIndexRef) ProtoMessage()

func (*DeployedIndexRef) ProtoReflect 

func (x *DeployedIndexRef) ProtoReflect() protoreflect.Message

func (*DeployedIndexRef) Reset 

func (x *DeployedIndexRef) Reset()

func (*DeployedIndexRef) String 

func (x *DeployedIndexRef) String() string

type DeployedModel 

type DeployedModel struct {

	// The prediction (for example, the machine) resources that the DeployedModel
	// uses. The user is billed for the resources (at least their minimal amount)
	// even if the DeployedModel receives no traffic.
	// Not all Models support all resources types. See
	// [Model.supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types].
	//
	// Types that are assignable to PredictionResources:
	//	*DeployedModel_DedicatedResources
	//	*DeployedModel_AutomaticResources
	PredictionResources isDeployedModel_PredictionResources `protobuf_oneof:"prediction_resources"`
	// Output only. The ID of the DeployedModel.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Required. The name of the Model that this is the deployment of. Note that the Model
	// may be in a different location than the DeployedModel's Endpoint.
	Model string `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
	// The display name of the DeployedModel. If not provided upon creation,
	// the Model's display_name is used.
	DisplayName string `protobuf:"bytes,3,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Timestamp when the DeployedModel was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Explanation configuration for this DeployedModel.
	//
	// When deploying a Model using [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel], this value
	// overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] are optional in the request. If a field of
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] is not populated, the value of the same field of
	// [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. If the corresponding
	// [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is not populated, all fields of the
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] will be used for the explanation configuration.
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,9,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// The service account that the DeployedModel's container runs as. Specify the
	// email address of the service account. If this service account is not
	// specified, the container runs as a service account that doesn't have access
	// to the resource project.
	//
	// Users deploying the Model must have the `iam.serviceAccounts.actAs`
	// permission on this service account.
	ServiceAccount string `protobuf:"bytes,11,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// If true, the container of the DeployedModel instances will send `stderr`
	// and `stdout` streams to Stackdriver Logging.
	//
	// Only supported for custom-trained Models and AutoML Tabular Models.
	EnableContainerLogging bool `` /* 131-byte string literal not displayed */
	// These logs are like standard server access logs, containing
	// information like timestamp and latency for each prediction request.
	//
	// Note that Stackdriver logs may incur a cost, especially if your project
	// receives prediction requests at a high queries per second rate (QPS).
	// Estimate your costs before enabling this option.
	EnableAccessLogging bool `protobuf:"varint,13,opt,name=enable_access_logging,json=enableAccessLogging,proto3" json:"enable_access_logging,omitempty"`
	// contains filtered or unexported fields
}

A deployment of a Model. Endpoints contain one or more DeployedModels.

func (*DeployedModel) Descriptor deprecated 

func (*DeployedModel) Descriptor() ([]byte, []int)

Deprecated: Use DeployedModel.ProtoReflect.Descriptor instead.

func (*DeployedModel) GetAutomaticResources 

func (x *DeployedModel) GetAutomaticResources() *AutomaticResources

func (*DeployedModel) GetCreateTime 

func (x *DeployedModel) GetCreateTime() *timestamppb.Timestamp

func (*DeployedModel) GetDedicatedResources 

func (x *DeployedModel) GetDedicatedResources() *DedicatedResources

func (*DeployedModel) GetDisplayName 

func (x *DeployedModel) GetDisplayName() string

func (*DeployedModel) GetEnableAccessLogging 

func (x *DeployedModel) GetEnableAccessLogging() bool

func (*DeployedModel) GetEnableContainerLogging 

func (x *DeployedModel) GetEnableContainerLogging() bool

func (*DeployedModel) GetExplanationSpec 

func (x *DeployedModel) GetExplanationSpec() *ExplanationSpec

func (*DeployedModel) GetId 

func (x *DeployedModel) GetId() string

func (*DeployedModel) GetModel 

func (x *DeployedModel) GetModel() string

func (*DeployedModel) GetPredictionResources 

func (m *DeployedModel) GetPredictionResources() isDeployedModel_PredictionResources

func (*DeployedModel) GetServiceAccount 

func (x *DeployedModel) GetServiceAccount() string

func (*DeployedModel) ProtoMessage 

func (*DeployedModel) ProtoMessage()

func (*DeployedModel) ProtoReflect 

func (x *DeployedModel) ProtoReflect() protoreflect.Message

func (*DeployedModel) Reset 

func (x *DeployedModel) Reset()

func (*DeployedModel) String 

func (x *DeployedModel) String() string

type DeployedModelRef 

type DeployedModelRef struct {

	// Immutable. A resource name of an Endpoint.
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Immutable. An ID of a DeployedModel in the above Endpoint.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// contains filtered or unexported fields
}

Points to a DeployedModel.

func (*DeployedModelRef) Descriptor deprecated 

func (*DeployedModelRef) Descriptor() ([]byte, []int)

Deprecated: Use DeployedModelRef.ProtoReflect.Descriptor instead.

func (*DeployedModelRef) GetDeployedModelId 

func (x *DeployedModelRef) GetDeployedModelId() string

func (*DeployedModelRef) GetEndpoint 

func (x *DeployedModelRef) GetEndpoint() string

func (*DeployedModelRef) ProtoMessage 

func (*DeployedModelRef) ProtoMessage()

func (*DeployedModelRef) ProtoReflect 

func (x *DeployedModelRef) ProtoReflect() protoreflect.Message

func (*DeployedModelRef) Reset 

func (x *DeployedModelRef) Reset()

func (*DeployedModelRef) String 

func (x *DeployedModelRef) String() string

type DeployedModel_AutomaticResources 

type DeployedModel_AutomaticResources struct {
	// A description of resources that to large degree are decided by AI
	// Platform, and require only a modest additional configuration.
	AutomaticResources *AutomaticResources `protobuf:"bytes,8,opt,name=automatic_resources,json=automaticResources,proto3,oneof"`
}

type DeployedModel_DedicatedResources 

type DeployedModel_DedicatedResources struct {
	// A description of resources that are dedicated to the DeployedModel, and
	// that need a higher degree of manual configuration.
	DedicatedResources *DedicatedResources `protobuf:"bytes,7,opt,name=dedicated_resources,json=dedicatedResources,proto3,oneof"`
}

type DestinationFeatureSetting 

type DestinationFeatureSetting struct {

	// Required. The ID of the Feature to apply the setting to.
	FeatureId string `protobuf:"bytes,1,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// Specify the field name in the export destination. If not specified,
	// Feature ID is used.
	DestinationField string `protobuf:"bytes,2,opt,name=destination_field,json=destinationField,proto3" json:"destination_field,omitempty"`
	// contains filtered or unexported fields
}

func (*DestinationFeatureSetting) Descriptor deprecated 

func (*DestinationFeatureSetting) Descriptor() ([]byte, []int)

Deprecated: Use DestinationFeatureSetting.ProtoReflect.Descriptor instead.

func (*DestinationFeatureSetting) GetDestinationField 

func (x *DestinationFeatureSetting) GetDestinationField() string

func (*DestinationFeatureSetting) GetFeatureId 

func (x *DestinationFeatureSetting) GetFeatureId() string

func (*DestinationFeatureSetting) ProtoMessage 

func (*DestinationFeatureSetting) ProtoMessage()

func (*DestinationFeatureSetting) ProtoReflect 

func (x *DestinationFeatureSetting) ProtoReflect() protoreflect.Message

func (*DestinationFeatureSetting) Reset 

func (x *DestinationFeatureSetting) Reset()

func (*DestinationFeatureSetting) String 

func (x *DestinationFeatureSetting) String() string

type DiskSpec 

type DiskSpec struct {

	// Type of the boot disk (default is "pd-ssd").
	// Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
	// "pd-standard" (Persistent Disk Hard Disk Drive).
	BootDiskType string `protobuf:"bytes,1,opt,name=boot_disk_type,json=bootDiskType,proto3" json:"boot_disk_type,omitempty"`
	// Size in GB of the boot disk (default is 100GB).
	BootDiskSizeGb int32 `protobuf:"varint,2,opt,name=boot_disk_size_gb,json=bootDiskSizeGb,proto3" json:"boot_disk_size_gb,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of disk options.

func (*DiskSpec) Descriptor deprecated 

func (*DiskSpec) Descriptor() ([]byte, []int)

Deprecated: Use DiskSpec.ProtoReflect.Descriptor instead.

func (*DiskSpec) GetBootDiskSizeGb 

func (x *DiskSpec) GetBootDiskSizeGb() int32

func (*DiskSpec) GetBootDiskType 

func (x *DiskSpec) GetBootDiskType() string

func (*DiskSpec) ProtoMessage 

func (*DiskSpec) ProtoMessage()

func (*DiskSpec) ProtoReflect 

func (x *DiskSpec) ProtoReflect() protoreflect.Message

func (*DiskSpec) Reset 

func (x *DiskSpec) Reset()

func (*DiskSpec) String 

func (x *DiskSpec) String() string

type DoubleArray 

type DoubleArray struct {

	// A list of bool values.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of double values.

func (*DoubleArray) Descriptor deprecated 

func (*DoubleArray) Descriptor() ([]byte, []int)

Deprecated: Use DoubleArray.ProtoReflect.Descriptor instead.

func (*DoubleArray) GetValues 

func (x *DoubleArray) GetValues() []float64

func (*DoubleArray) ProtoMessage 

func (*DoubleArray) ProtoMessage()

func (*DoubleArray) ProtoReflect 

func (x *DoubleArray) ProtoReflect() protoreflect.Message

func (*DoubleArray) Reset 

func (x *DoubleArray) Reset()

func (*DoubleArray) String 

func (x *DoubleArray) String() string

type EncryptionSpec 

type EncryptionSpec struct {

	// Required. The Cloud KMS resource identifier of the customer managed encryption key
	// used to protect a resource. Has the form:
	// `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
	// The key needs to be in the same region as where the compute resource is
	// created.
	KmsKeyName string `protobuf:"bytes,1,opt,name=kms_key_name,json=kmsKeyName,proto3" json:"kms_key_name,omitempty"`
	// contains filtered or unexported fields
}

Represents a customer-managed encryption key spec that can be applied to a top-level resource.

func (*EncryptionSpec) Descriptor deprecated 

func (*EncryptionSpec) Descriptor() ([]byte, []int)

Deprecated: Use EncryptionSpec.ProtoReflect.Descriptor instead.

func (*EncryptionSpec) GetKmsKeyName 

func (x *EncryptionSpec) GetKmsKeyName() string

func (*EncryptionSpec) ProtoMessage 

func (*EncryptionSpec) ProtoMessage()

func (*EncryptionSpec) ProtoReflect 

func (x *EncryptionSpec) ProtoReflect() protoreflect.Message

func (*EncryptionSpec) Reset 

func (x *EncryptionSpec) Reset()

func (*EncryptionSpec) String 

func (x *EncryptionSpec) String() string

type Endpoint 

type Endpoint struct {

	// Output only. The resource name of the Endpoint.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the Endpoint.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the Endpoint.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. The models deployed in this Endpoint.
	// To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] and
	// [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel] respectively.
	DeployedModels []*DeployedModel `protobuf:"bytes,4,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
	// A map from a DeployedModel's ID to the percentage of this Endpoint's
	// traffic that should be forwarded to that DeployedModel.
	//
	// If a DeployedModel's ID is not listed in this map, then it receives no
	// traffic.
	//
	// The traffic percentage values must add up to 100, or map must be empty if
	// the Endpoint is to not accept any traffic at a moment.
	TrafficSplit map[string]int32 `` /* 186-byte string literal not displayed */
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,6,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Endpoints.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Output only. Timestamp when this Endpoint was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Endpoint was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,9,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Customer-managed encryption key spec for an Endpoint. If set, this
	// Endpoint and all sub-resources of this Endpoint will be secured by
	// this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,10,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

func (*Endpoint) Descriptor deprecated 

func (*Endpoint) Descriptor() ([]byte, []int)

Deprecated: Use Endpoint.ProtoReflect.Descriptor instead.

func (*Endpoint) GetCreateTime 

func (x *Endpoint) GetCreateTime() *timestamppb.Timestamp

func (*Endpoint) GetDeployedModels 

func (x *Endpoint) GetDeployedModels() []*DeployedModel

func (*Endpoint) GetDescription 

func (x *Endpoint) GetDescription() string

func (*Endpoint) GetDisplayName 

func (x *Endpoint) GetDisplayName() string

func (*Endpoint) GetEncryptionSpec 

func (x *Endpoint) GetEncryptionSpec() *EncryptionSpec

func (*Endpoint) GetEtag 

func (x *Endpoint) GetEtag() string

func (*Endpoint) GetLabels 

func (x *Endpoint) GetLabels() map[string]string

func (*Endpoint) GetName 

func (x *Endpoint) GetName() string

func (*Endpoint) GetTrafficSplit 

func (x *Endpoint) GetTrafficSplit() map[string]int32

func (*Endpoint) GetUpdateTime 

func (x *Endpoint) GetUpdateTime() *timestamppb.Timestamp

func (*Endpoint) ProtoMessage 

func (*Endpoint) ProtoMessage()

func (*Endpoint) ProtoReflect 

func (x *Endpoint) ProtoReflect() protoreflect.Message

func (*Endpoint) Reset 

func (x *Endpoint) Reset()

func (*Endpoint) String 

func (x *Endpoint) String() string

type EndpointServiceClient 

type EndpointServiceClient interface {
	// Creates an Endpoint.
	CreateEndpoint(ctx context.Context, in *CreateEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets an Endpoint.
	GetEndpoint(ctx context.Context, in *GetEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
	// Lists Endpoints in a Location.
	ListEndpoints(ctx context.Context, in *ListEndpointsRequest, opts ...grpc.CallOption) (*ListEndpointsResponse, error)
	// Updates an Endpoint.
	UpdateEndpoint(ctx context.Context, in *UpdateEndpointRequest, opts ...grpc.CallOption) (*Endpoint, error)
	// Deletes an Endpoint.
	DeleteEndpoint(ctx context.Context, in *DeleteEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deploys a Model into this Endpoint, creating a DeployedModel within it.
	DeployModel(ctx context.Context, in *DeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
	// freeing all resources it's using.
	UndeployModel(ctx context.Context, in *UndeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}

EndpointServiceClient is the client API for EndpointService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewEndpointServiceClient 

func NewEndpointServiceClient(cc grpc.ClientConnInterface) EndpointServiceClient

type EndpointServiceServer 

type EndpointServiceServer interface {
	// Creates an Endpoint.
	CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunning.Operation, error)
	// Gets an Endpoint.
	GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)
	// Lists Endpoints in a Location.
	ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)
	// Updates an Endpoint.
	UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)
	// Deletes an Endpoint.
	DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunning.Operation, error)
	// Deploys a Model into this Endpoint, creating a DeployedModel within it.
	DeployModel(context.Context, *DeployModelRequest) (*longrunning.Operation, error)
	// Undeploys a Model from an Endpoint, removing a DeployedModel from it, and
	// freeing all resources it's using.
	UndeployModel(context.Context, *UndeployModelRequest) (*longrunning.Operation, error)
}

EndpointServiceServer is the server API for EndpointService service.

type EntityType 

type EntityType struct {

	// Immutable. Name of the EntityType.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	//
	// The last part entity_type is assigned by the client. The entity_type can be
	// up to 64 characters long and can consist only of ASCII Latin letters A-Z
	// and a-z and underscore(_), and ASCII digits 0-9 starting with a letter. The
	// value will be unique given a featurestore.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Description of the EntityType.
	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this EntityType was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this EntityType was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize your EntityTypes.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one EntityType (System
	// labels are excluded)."
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Optional. Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The default monitoring configuration for all Features under this
	// EntityType.
	//
	// If this is populated with
	// [FeaturestoreMonitoringConfig.monitoring_interval] specified, snapshot
	// analysis monitoring is enabled. Otherwise, snapshot analysis monitoring is
	// disabled.
	MonitoringConfig *FeaturestoreMonitoringConfig `protobuf:"bytes,8,opt,name=monitoring_config,json=monitoringConfig,proto3" json:"monitoring_config,omitempty"`
	// contains filtered or unexported fields
}

An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.

func (*EntityType) Descriptor deprecated 

func (*EntityType) Descriptor() ([]byte, []int)

Deprecated: Use EntityType.ProtoReflect.Descriptor instead.

func (*EntityType) GetCreateTime 

func (x *EntityType) GetCreateTime() *timestamppb.Timestamp

func (*EntityType) GetDescription 

func (x *EntityType) GetDescription() string

func (*EntityType) GetEtag 

func (x *EntityType) GetEtag() string

func (*EntityType) GetLabels 

func (x *EntityType) GetLabels() map[string]string

func (*EntityType) GetMonitoringConfig 

func (x *EntityType) GetMonitoringConfig() *FeaturestoreMonitoringConfig

func (*EntityType) GetName 

func (x *EntityType) GetName() string

func (*EntityType) GetUpdateTime 

func (x *EntityType) GetUpdateTime() *timestamppb.Timestamp

func (*EntityType) ProtoMessage 

func (*EntityType) ProtoMessage()

func (*EntityType) ProtoReflect 

func (x *EntityType) ProtoReflect() protoreflect.Message

func (*EntityType) Reset 

func (x *EntityType) Reset()

func (*EntityType) String 

func (x *EntityType) String() string

type EnvVar 

type EnvVar struct {

	// Required. Name of the environment variable. Must be a valid C identifier.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Variables that reference a $(VAR_NAME) are expanded
	// using the previous defined environment variables in the container and
	// any service environment variables. If a variable cannot be resolved,
	// the reference in the input string will be unchanged. The $(VAR_NAME)
	// syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
	// references will never be expanded, regardless of whether the variable
	// exists or not.
	Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

Represents an environment variable present in a Container or Python Module.

func (*EnvVar) Descriptor deprecated 

func (*EnvVar) Descriptor() ([]byte, []int)

Deprecated: Use EnvVar.ProtoReflect.Descriptor instead.

func (*EnvVar) GetName 

func (x *EnvVar) GetName() string

func (*EnvVar) GetValue 

func (x *EnvVar) GetValue() string

func (*EnvVar) ProtoMessage 

func (*EnvVar) ProtoMessage()

func (*EnvVar) ProtoReflect 

func (x *EnvVar) ProtoReflect() protoreflect.Message

func (*EnvVar) Reset 

func (x *EnvVar) Reset()

func (*EnvVar) String 

func (x *EnvVar) String() string

type Event 

type Event struct {

	// Required. The relative resource name of the Artifact in the Event.
	Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Output only. The relative resource name of the Execution in the Event.
	Execution string `protobuf:"bytes,2,opt,name=execution,proto3" json:"execution,omitempty"`
	// Output only. Time the Event occurred.
	EventTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=event_time,json=eventTime,proto3" json:"event_time,omitempty"`
	// Required. The type of the Event.
	Type Event_Type `protobuf:"varint,4,opt,name=type,proto3,enum=google.cloud.aiplatform.v1beta1.Event_Type" json:"type,omitempty"`
	// The labels with user-defined metadata to annotate Events.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Event (System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// contains filtered or unexported fields
}

An edge describing the relationship between an Artifact and an Execution in a lineage graph.

func (*Event) Descriptor deprecated 

func (*Event) Descriptor() ([]byte, []int)

Deprecated: Use Event.ProtoReflect.Descriptor instead.

func (*Event) GetArtifact 

func (x *Event) GetArtifact() string

func (*Event) GetEventTime 

func (x *Event) GetEventTime() *timestamppb.Timestamp

func (*Event) GetExecution 

func (x *Event) GetExecution() string

func (*Event) GetLabels 

func (x *Event) GetLabels() map[string]string

func (*Event) GetType 

func (x *Event) GetType() Event_Type

func (*Event) ProtoMessage 

func (*Event) ProtoMessage()

func (*Event) ProtoReflect 

func (x *Event) ProtoReflect() protoreflect.Message

func (*Event) Reset 

func (x *Event) Reset()

func (*Event) String 

func (x *Event) String() string

type Event_Type 

type Event_Type int32

Describes whether an Event's Artifact is the Execution's input or output. 

const (
	// Unspecified whether input or output of the Execution.
	Event_TYPE_UNSPECIFIED Event_Type = 0
	// An input of the Execution.
	Event_INPUT Event_Type = 1
	// An output of the Execution.
	Event_OUTPUT Event_Type = 2
)

func (Event_Type) Descriptor 

func (Event_Type) Descriptor() protoreflect.EnumDescriptor

func (Event_Type) Enum 

func (x Event_Type) Enum() *Event_Type

func (Event_Type) EnumDescriptor deprecated 

func (Event_Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use Event_Type.Descriptor instead.

func (Event_Type) Number 

func (x Event_Type) Number() protoreflect.EnumNumber

func (Event_Type) String 

func (x Event_Type) String() string

func (Event_Type) Type 

func (Event_Type) Type() protoreflect.EnumType

type Execution 

type Execution struct {

	// Output only. The resource name of the Execution.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided display name of the Execution.
	// May be up to 128 Unicode characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The state of this Execution. This is a property of the Execution, and does
	// not imply or capture any ongoing process. This property is managed by
	// clients (such as Vertex Pipelines) and the system does not prescribe
	// or check the validity of state transitions.
	State Execution_State `protobuf:"varint,6,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.Execution_State" json:"state,omitempty"`
	// An eTag used to perform consistent read-modify-write updates. If not set, a
	// blind "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Executions.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Execution (System
	// labels are excluded).
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Output only. Timestamp when this Execution was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Execution was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The title of the schema describing the metadata.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaTitle string `protobuf:"bytes,13,opt,name=schema_title,json=schemaTitle,proto3" json:"schema_title,omitempty"`
	// The version of the schema in `schema_title` to use.
	//
	// Schema title and version is expected to be registered in earlier Create
	// Schema calls. And both are used together as unique identifiers to identify
	// schemas within the local metadata store.
	SchemaVersion string `protobuf:"bytes,14,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Properties of the Execution.
	Metadata *structpb.Struct `protobuf:"bytes,15,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Description of the Execution
	Description string `protobuf:"bytes,16,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general execution.

func (*Execution) Descriptor deprecated 

func (*Execution) Descriptor() ([]byte, []int)

Deprecated: Use Execution.ProtoReflect.Descriptor instead.

func (*Execution) GetCreateTime 

func (x *Execution) GetCreateTime() *timestamppb.Timestamp

func (*Execution) GetDescription 

func (x *Execution) GetDescription() string

func (*Execution) GetDisplayName 

func (x *Execution) GetDisplayName() string

func (*Execution) GetEtag 

func (x *Execution) GetEtag() string

func (*Execution) GetLabels 

func (x *Execution) GetLabels() map[string]string

func (*Execution) GetMetadata 

func (x *Execution) GetMetadata() *structpb.Struct

func (*Execution) GetName 

func (x *Execution) GetName() string

func (*Execution) GetSchemaTitle 

func (x *Execution) GetSchemaTitle() string

func (*Execution) GetSchemaVersion 

func (x *Execution) GetSchemaVersion() string

func (*Execution) GetState 

func (x *Execution) GetState() Execution_State

func (*Execution) GetUpdateTime 

func (x *Execution) GetUpdateTime() *timestamppb.Timestamp

func (*Execution) ProtoMessage 

func (*Execution) ProtoMessage()

func (*Execution) ProtoReflect 

func (x *Execution) ProtoReflect() protoreflect.Message

func (*Execution) Reset 

func (x *Execution) Reset()

func (*Execution) String 

func (x *Execution) String() string

type Execution_State 

type Execution_State int32

Describes the state of the Execution. 

const (
	// Unspecified Execution state
	Execution_STATE_UNSPECIFIED Execution_State = 0
	// The Execution is new
	Execution_NEW Execution_State = 1
	// The Execution is running
	Execution_RUNNING Execution_State = 2
	// The Execution has finished running
	Execution_COMPLETE Execution_State = 3
	// The Execution has failed
	Execution_FAILED Execution_State = 4
)

func (Execution_State) Descriptor 

func (Execution_State) Descriptor() protoreflect.EnumDescriptor

func (Execution_State) Enum 

func (x Execution_State) Enum() *Execution_State

func (Execution_State) EnumDescriptor deprecated 

func (Execution_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Execution_State.Descriptor instead.

func (Execution_State) Number 

func (x Execution_State) Number() protoreflect.EnumNumber

func (Execution_State) String 

func (x Execution_State) String() string

func (Execution_State) Type 

func (Execution_State) Type() protoreflect.EnumType

type ExplainRequest 

type ExplainRequest struct {

	// Required. The name of the Endpoint requested to serve the explanation.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The instances that are the input to the explanation call.
	// A DeployedModel may have an upper limit on the number of instances it
	// supports per request, and when it is exceeded the explanation call errors
	// in case of AutoML Models, or, in case of customer created Models, the
	// behaviour is as documented by that Model.
	// The schema of any single instance may be specified via Endpoint's
	// DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// The parameters that govern the prediction. The schema of the parameters may
	// be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
	Parameters *structpb.Value `protobuf:"bytes,4,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// If specified, overrides the
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
	// Can be used for explaining prediction results with different
	// configurations, such as:
	//  - Explaining top-5 predictions results as opposed to top-1;
	//  - Increasing path count or step count of the attribution methods to reduce
	//    approximate errors;
	//  - Using different baselines for explaining the prediction results.
	ExplanationSpecOverride *ExplanationSpecOverride `` /* 132-byte string literal not displayed */
	// If specified, this ExplainRequest will be served by the chosen
	// DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
	DeployedModelId string `protobuf:"bytes,3,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].

func (*ExplainRequest) Descriptor deprecated 

func (*ExplainRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExplainRequest.ProtoReflect.Descriptor instead.

func (*ExplainRequest) GetDeployedModelId 

func (x *ExplainRequest) GetDeployedModelId() string

func (*ExplainRequest) GetEndpoint 

func (x *ExplainRequest) GetEndpoint() string

func (*ExplainRequest) GetExplanationSpecOverride 

func (x *ExplainRequest) GetExplanationSpecOverride() *ExplanationSpecOverride

func (*ExplainRequest) GetInstances 

func (x *ExplainRequest) GetInstances() []*structpb.Value

func (*ExplainRequest) GetParameters 

func (x *ExplainRequest) GetParameters() *structpb.Value

func (*ExplainRequest) ProtoMessage 

func (*ExplainRequest) ProtoMessage()

func (*ExplainRequest) ProtoReflect 

func (x *ExplainRequest) ProtoReflect() protoreflect.Message

func (*ExplainRequest) Reset 

func (x *ExplainRequest) Reset()

func (*ExplainRequest) String 

func (x *ExplainRequest) String() string

type ExplainResponse 

type ExplainResponse struct {

	// The explanations of the Model's [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
	//
	// It has the same number of elements as [instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
	// to be explained.
	Explanations []*Explanation `protobuf:"bytes,1,rep,name=explanations,proto3" json:"explanations,omitempty"`
	// ID of the Endpoint's DeployedModel that served this explanation.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The predictions that are the output of the predictions call.
	// Same as [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions].
	Predictions []*structpb.Value `protobuf:"bytes,3,rep,name=predictions,proto3" json:"predictions,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].

func (*ExplainResponse) Descriptor deprecated 

func (*ExplainResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExplainResponse.ProtoReflect.Descriptor instead.

func (*ExplainResponse) GetDeployedModelId 

func (x *ExplainResponse) GetDeployedModelId() string

func (*ExplainResponse) GetExplanations 

func (x *ExplainResponse) GetExplanations() []*Explanation

func (*ExplainResponse) GetPredictions 

func (x *ExplainResponse) GetPredictions() []*structpb.Value

func (*ExplainResponse) ProtoMessage 

func (*ExplainResponse) ProtoMessage()

func (*ExplainResponse) ProtoReflect 

func (x *ExplainResponse) ProtoReflect() protoreflect.Message

func (*ExplainResponse) Reset 

func (x *ExplainResponse) Reset()

func (*ExplainResponse) String 

func (x *ExplainResponse) String() string

type Explanation 

type Explanation struct {

	// Output only. Feature attributions grouped by predicted outputs.
	//
	// For Models that predict only one output, such as regression Models that
	// predict only one score, there is only one attibution that explains the
	// predicted output. For Models that predict multiple outputs, such as
	// multiclass Models that predict multiple classes, each element explains one
	// specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
	// output this attribution is explaining.
	//
	// If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k], the attributions are sorted
	// by [instance_output_value][Attributions.instance_output_value] in
	// descending order. If [ExplanationParameters.output_indices][google.cloud.aiplatform.v1beta1.ExplanationParameters.output_indices] is specified,
	// the attributions are stored by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] in the same
	// order as they appear in the output_indices.
	Attributions []*Attribution `protobuf:"bytes,1,rep,name=attributions,proto3" json:"attributions,omitempty"`
	// contains filtered or unexported fields
}

Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions]) produced by the Model on a given [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].

func (*Explanation) Descriptor deprecated 

func (*Explanation) Descriptor() ([]byte, []int)

Deprecated: Use Explanation.ProtoReflect.Descriptor instead.

func (*Explanation) GetAttributions 

func (x *Explanation) GetAttributions() []*Attribution

func (*Explanation) ProtoMessage 

func (*Explanation) ProtoMessage()

func (*Explanation) ProtoReflect 

func (x *Explanation) ProtoReflect() protoreflect.Message

func (*Explanation) Reset 

func (x *Explanation) Reset()

func (*Explanation) String 

func (x *Explanation) String() string

type ExplanationMetadata 

type ExplanationMetadata struct {

	// Required. Map from feature names to feature input metadata. Keys are the name of the
	// features. Values are the specification of the feature.
	//
	// An empty InputMetadata is valid. It describes a text feature which has the
	// name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
	// of the empty feature is chosen by Vertex AI.
	//
	// For Vertex AI-provided Tensorflow images, the key can be any friendly
	// name of the feature. Once specified,
	// [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
	// this key (if not grouped with another feature).
	//
	// For custom images, the key must match with the key in
	// [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
	Inputs map[string]*ExplanationMetadata_InputMetadata `` /* 153-byte string literal not displayed */
	// Required. Map from output names to output metadata.
	//
	// For Vertex AI-provided Tensorflow images, keys can be any user defined
	// string that consists of any UTF-8 characters.
	//
	// For custom images, keys are the name of the output field in the prediction
	// to be explained.
	//
	// Currently only one key is allowed.
	Outputs map[string]*ExplanationMetadata_OutputMetadata `` /* 155-byte string literal not displayed */
	// Points to a YAML file stored on Google Cloud Storage describing the format
	// of the [feature attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML tabular Models always have this field populated by Vertex AI.
	// Note: The URI given on output may be different, including the URI scheme,
	// than the one given on input. The output URI will point to a location where
	// the user only has a read access.
	FeatureAttributionsSchemaUri string `` /* 149-byte string literal not displayed */
	// contains filtered or unexported fields
}

Metadata describing the Model's input and output for explanation.

func (*ExplanationMetadata) Descriptor deprecated 

func (*ExplanationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata) GetFeatureAttributionsSchemaUri 

func (x *ExplanationMetadata) GetFeatureAttributionsSchemaUri() string

func (*ExplanationMetadata) GetInputs 

func (x *ExplanationMetadata) GetInputs() map[string]*ExplanationMetadata_InputMetadata

func (*ExplanationMetadata) GetOutputs 

func (x *ExplanationMetadata) GetOutputs() map[string]*ExplanationMetadata_OutputMetadata

func (*ExplanationMetadata) ProtoMessage 

func (*ExplanationMetadata) ProtoMessage()

func (*ExplanationMetadata) ProtoReflect 

func (x *ExplanationMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata) Reset 

func (x *ExplanationMetadata) Reset()

func (*ExplanationMetadata) String 

func (x *ExplanationMetadata) String() string

type ExplanationMetadataOverride 

type ExplanationMetadataOverride struct {

	// Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
	// The key is the name of the feature to be overridden. The keys specified
	// here must exist in the input metadata to be overridden. If a feature is
	// not specified here, the corresponding feature's input metadata is not
	// overridden.
	Inputs map[string]*ExplanationMetadataOverride_InputMetadataOverride `` /* 153-byte string literal not displayed */
	// contains filtered or unexported fields
}

The ExplanationMetadata[google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.

func (*ExplanationMetadataOverride) Descriptor deprecated 

func (*ExplanationMetadataOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadataOverride.ProtoReflect.Descriptor instead.

func (*ExplanationMetadataOverride) GetInputs 

func (x *ExplanationMetadataOverride) GetInputs() map[string]*ExplanationMetadataOverride_InputMetadataOverride

func (*ExplanationMetadataOverride) ProtoMessage 

func (*ExplanationMetadataOverride) ProtoMessage()

func (*ExplanationMetadataOverride) ProtoReflect 

func (x *ExplanationMetadataOverride) ProtoReflect() protoreflect.Message

func (*ExplanationMetadataOverride) Reset 

func (x *ExplanationMetadataOverride) Reset()

func (*ExplanationMetadataOverride) String 

func (x *ExplanationMetadataOverride) String() string

type ExplanationMetadataOverride_InputMetadataOverride 

type ExplanationMetadataOverride_InputMetadataOverride struct {

	// Baseline inputs for this feature.
	//
	// This overrides the `input_baseline` field of the
	// [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
	// object of the corresponding feature's input metadata. If it's not
	// specified, the original baselines are not overridden.
	InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`
	// contains filtered or unexported fields
}

The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be overridden.

func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor deprecated 

func (*ExplanationMetadataOverride_InputMetadataOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadataOverride_InputMetadataOverride.ProtoReflect.Descriptor instead.

func (*ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines 

func (x *ExplanationMetadataOverride_InputMetadataOverride) GetInputBaselines() []*structpb.Value

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage 

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoMessage()

func (*ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect 

func (x *ExplanationMetadataOverride_InputMetadataOverride) ProtoReflect() protoreflect.Message

func (*ExplanationMetadataOverride_InputMetadataOverride) Reset 

func (x *ExplanationMetadataOverride_InputMetadataOverride) Reset()

func (*ExplanationMetadataOverride_InputMetadataOverride) String 

func (x *ExplanationMetadataOverride_InputMetadataOverride) String() string

type ExplanationMetadata_InputMetadata 

type ExplanationMetadata_InputMetadata struct {

	// Baseline inputs for this feature.
	//
	// If no baseline is specified, Vertex AI chooses the baseline for this
	// feature. If multiple baselines are specified, Vertex AI returns the
	// average attributions across them in
	// [Attributions.baseline_attribution][].
	//
	// For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
	// of each baseline must match the shape of the input tensor. If a scalar is
	// provided, we broadcast to the same shape as the input tensor.
	//
	// For custom images, the element of the baselines must be in the same
	// format as the feature's input in the
	// [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances][]. The schema of any single instance
	// may be specified via Endpoint's DeployedModels'
	// [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
	InputBaselines []*structpb.Value `protobuf:"bytes,1,rep,name=input_baselines,json=inputBaselines,proto3" json:"input_baselines,omitempty"`
	// Name of the input tensor for this feature. Required and is only
	// applicable to Vertex AI-provided images for Tensorflow.
	InputTensorName string `protobuf:"bytes,2,opt,name=input_tensor_name,json=inputTensorName,proto3" json:"input_tensor_name,omitempty"`
	// Defines how the feature is encoded into the input tensor. Defaults to
	// IDENTITY.
	Encoding ExplanationMetadata_InputMetadata_Encoding `` /* 150-byte string literal not displayed */
	// Modality of the feature. Valid values are: numeric, image. Defaults to
	// numeric.
	Modality string `protobuf:"bytes,4,opt,name=modality,proto3" json:"modality,omitempty"`
	// The domain details of the input feature value. Like min/max, original
	// mean or standard deviation if normalized.
	FeatureValueDomain *ExplanationMetadata_InputMetadata_FeatureValueDomain `protobuf:"bytes,5,opt,name=feature_value_domain,json=featureValueDomain,proto3" json:"feature_value_domain,omitempty"`
	// Specifies the index of the values of the input tensor.
	// Required when the input tensor is a sparse representation. Refer to
	// Tensorflow documentation for more details:
	// https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor.
	IndicesTensorName string `protobuf:"bytes,6,opt,name=indices_tensor_name,json=indicesTensorName,proto3" json:"indices_tensor_name,omitempty"`
	// Specifies the shape of the values of the input if the input is a sparse
	// representation. Refer to Tensorflow documentation for more details:
	// https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor.
	DenseShapeTensorName string `protobuf:"bytes,7,opt,name=dense_shape_tensor_name,json=denseShapeTensorName,proto3" json:"dense_shape_tensor_name,omitempty"`
	// A list of feature names for each index in the input tensor.
	// Required when the input [InputMetadata.encoding][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoding] is BAG_OF_FEATURES,
	// BAG_OF_FEATURES_SPARSE, INDICATOR.
	IndexFeatureMapping []string `protobuf:"bytes,8,rep,name=index_feature_mapping,json=indexFeatureMapping,proto3" json:"index_feature_mapping,omitempty"`
	// Encoded tensor is a transformation of the input tensor. Must be provided
	// if choosing [Integrated Gradients
	// attribution][ExplanationParameters.integrated_gradients_attribution] or
	// [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution]
	// and the input tensor is not differentiable.
	//
	// An encoded tensor is generated if the input tensor is encoded by a lookup
	// table.
	EncodedTensorName string `protobuf:"bytes,9,opt,name=encoded_tensor_name,json=encodedTensorName,proto3" json:"encoded_tensor_name,omitempty"`
	// A list of baselines for the encoded tensor.
	//
	// The shape of each baseline should match the shape of the encoded tensor.
	// If a scalar is provided, Vertex AI broadcasts to the same shape as the
	// encoded tensor.
	EncodedBaselines []*structpb.Value `protobuf:"bytes,10,rep,name=encoded_baselines,json=encodedBaselines,proto3" json:"encoded_baselines,omitempty"`
	// Visualization configurations for image explanation.
	Visualization *ExplanationMetadata_InputMetadata_Visualization `protobuf:"bytes,11,opt,name=visualization,proto3" json:"visualization,omitempty"`
	// Name of the group that the input belongs to. Features with the same group
	// name will be treated as one feature when computing attributions. Features
	// grouped together can have different shapes in value. If provided, there
	// will be one single attribution generated in [
	// featureAttributions][Attribution.feature_attributions], keyed by the
	// group name.
	GroupName string `protobuf:"bytes,12,opt,name=group_name,json=groupName,proto3" json:"group_name,omitempty"`
	// contains filtered or unexported fields
}

Metadata of the input of a feature.

Fields other than [InputMetadata.input_baselines][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.input_baselines] are applicable only for Models that are using Vertex AI-provided images for Tensorflow.

func (*ExplanationMetadata_InputMetadata) Descriptor deprecated 

func (*ExplanationMetadata_InputMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata) GetDenseShapeTensorName 

func (x *ExplanationMetadata_InputMetadata) GetDenseShapeTensorName() string

func (*ExplanationMetadata_InputMetadata) GetEncodedBaselines 

func (x *ExplanationMetadata_InputMetadata) GetEncodedBaselines() []*structpb.Value

func (*ExplanationMetadata_InputMetadata) GetEncodedTensorName 

func (x *ExplanationMetadata_InputMetadata) GetEncodedTensorName() string

func (*ExplanationMetadata_InputMetadata) GetEncoding 

func (x *ExplanationMetadata_InputMetadata) GetEncoding() ExplanationMetadata_InputMetadata_Encoding

func (*ExplanationMetadata_InputMetadata) GetFeatureValueDomain 

func (x *ExplanationMetadata_InputMetadata) GetFeatureValueDomain() *ExplanationMetadata_InputMetadata_FeatureValueDomain

func (*ExplanationMetadata_InputMetadata) GetGroupName 

func (x *ExplanationMetadata_InputMetadata) GetGroupName() string

func (*ExplanationMetadata_InputMetadata) GetIndexFeatureMapping 

func (x *ExplanationMetadata_InputMetadata) GetIndexFeatureMapping() []string

func (*ExplanationMetadata_InputMetadata) GetIndicesTensorName 

func (x *ExplanationMetadata_InputMetadata) GetIndicesTensorName() string

func (*ExplanationMetadata_InputMetadata) GetInputBaselines 

func (x *ExplanationMetadata_InputMetadata) GetInputBaselines() []*structpb.Value

func (*ExplanationMetadata_InputMetadata) GetInputTensorName 

func (x *ExplanationMetadata_InputMetadata) GetInputTensorName() string

func (*ExplanationMetadata_InputMetadata) GetModality 

func (x *ExplanationMetadata_InputMetadata) GetModality() string

func (*ExplanationMetadata_InputMetadata) GetVisualization 

func (x *ExplanationMetadata_InputMetadata) GetVisualization() *ExplanationMetadata_InputMetadata_Visualization

func (*ExplanationMetadata_InputMetadata) ProtoMessage 

func (*ExplanationMetadata_InputMetadata) ProtoMessage()

func (*ExplanationMetadata_InputMetadata) ProtoReflect 

func (x *ExplanationMetadata_InputMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata) Reset 

func (x *ExplanationMetadata_InputMetadata) Reset()

func (*ExplanationMetadata_InputMetadata) String 

func (x *ExplanationMetadata_InputMetadata) String() string

type ExplanationMetadata_InputMetadata_Encoding 

type ExplanationMetadata_InputMetadata_Encoding int32

Defines how the feature is encoded to [encoded_tensor][]. Defaults to IDENTITY. 

const (
	// Default value. This is the same as IDENTITY.
	ExplanationMetadata_InputMetadata_ENCODING_UNSPECIFIED ExplanationMetadata_InputMetadata_Encoding = 0
	// The tensor represents one feature.
	ExplanationMetadata_InputMetadata_IDENTITY ExplanationMetadata_InputMetadata_Encoding = 1
	// The tensor represents a bag of features where each index maps to
	// a feature. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided for
	// this encoding. For example:
	// “`
	// input = [27, 6.0, 150]
	// index_feature_mapping = ["age", "height", "weight"]
	// “`
	ExplanationMetadata_InputMetadata_BAG_OF_FEATURES ExplanationMetadata_InputMetadata_Encoding = 2
	// The tensor represents a bag of features where each index maps to a
	// feature. Zero values in the tensor indicates feature being
	// non-existent. [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping] must be provided
	// for this encoding. For example:
	// “`
	// input = [2, 0, 5, 0, 1]
	// index_feature_mapping = ["a", "b", "c", "d", "e"]
	// “`
	ExplanationMetadata_InputMetadata_BAG_OF_FEATURES_SPARSE ExplanationMetadata_InputMetadata_Encoding = 3
	// The tensor is a list of binaries representing whether a feature exists
	// or not (1 indicates existence). [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.index_feature_mapping]
	// must be provided for this encoding. For example:
	// “`
	// input = [1, 0, 1, 0, 1]
	// index_feature_mapping = ["a", "b", "c", "d", "e"]
	// “`
	ExplanationMetadata_InputMetadata_INDICATOR ExplanationMetadata_InputMetadata_Encoding = 4
	// The tensor is encoded into a 1-dimensional array represented by an
	// encoded tensor. [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided
	// for this encoding. For example:
	// “`
	// input = ["This", "is", "a", "test", "."]
	// encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
	// “`
	ExplanationMetadata_InputMetadata_COMBINED_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 5
	// Select this encoding when the input tensor is encoded into a
	// 2-dimensional array represented by an encoded tensor.
	// [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.encoded_tensor_name] must be provided for this
	// encoding. The first dimension of the encoded tensor's shape is the same
	// as the input tensor's shape. For example:
	// “`
	// input = ["This", "is", "a", "test", "."]
	// encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
	//            [0.2, 0.1, 0.4, 0.3, 0.5],
	//            [0.5, 0.1, 0.3, 0.5, 0.4],
	//            [0.5, 0.3, 0.1, 0.2, 0.4],
	//            [0.4, 0.3, 0.2, 0.5, 0.1]]
	// “`
	ExplanationMetadata_InputMetadata_CONCAT_EMBEDDING ExplanationMetadata_InputMetadata_Encoding = 6
)

func (ExplanationMetadata_InputMetadata_Encoding) Descriptor 

func (ExplanationMetadata_InputMetadata_Encoding) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Encoding) Enum 

func (x ExplanationMetadata_InputMetadata_Encoding) Enum() *ExplanationMetadata_InputMetadata_Encoding

func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor deprecated 

func (ExplanationMetadata_InputMetadata_Encoding) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Encoding.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Encoding) Number 

func (x ExplanationMetadata_InputMetadata_Encoding) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Encoding) String 

func (x ExplanationMetadata_InputMetadata_Encoding) String() string

func (ExplanationMetadata_InputMetadata_Encoding) Type 

func (ExplanationMetadata_InputMetadata_Encoding) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_FeatureValueDomain 

type ExplanationMetadata_InputMetadata_FeatureValueDomain struct {

	// The minimum permissible value for this feature.
	MinValue float32 `protobuf:"fixed32,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// The maximum permissible value for this feature.
	MaxValue float32 `protobuf:"fixed32,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// If this input feature has been normalized to a mean value of 0,
	// the original_mean specifies the mean value of the domain prior to
	// normalization.
	OriginalMean float32 `protobuf:"fixed32,3,opt,name=original_mean,json=originalMean,proto3" json:"original_mean,omitempty"`
	// If this input feature has been normalized to a standard deviation of
	// 1.0, the original_stddev specifies the standard deviation of the domain
	// prior to normalization.
	OriginalStddev float32 `protobuf:"fixed32,4,opt,name=original_stddev,json=originalStddev,proto3" json:"original_stddev,omitempty"`
	// contains filtered or unexported fields
}

Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information about how to recover the original feature. For example, if the input feature is an image and it has been pre-processed to obtain 0-mean and stddev = 1 values, then original_mean, and original_stddev refer to the mean and stddev of the original feature (e.g. image tensor) from which input feature (with mean = 0 and stddev = 1) was obtained.

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor deprecated 

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_FeatureValueDomain.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMaxValue() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetMinValue() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalMean() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) GetOriginalStddev() float32

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage 

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoMessage()

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) Reset()

func (*ExplanationMetadata_InputMetadata_FeatureValueDomain) String 

func (x *ExplanationMetadata_InputMetadata_FeatureValueDomain) String() string

type ExplanationMetadata_InputMetadata_Visualization 

type ExplanationMetadata_InputMetadata_Visualization struct {

	// Type of the image visualization. Only applicable to [Integrated
	// Gradients attribution]
	// [ExplanationParameters.integrated_gradients_attribution]. OUTLINES
	// shows regions of attribution, while PIXELS shows per-pixel attribution.
	// Defaults to OUTLINES.
	Type ExplanationMetadata_InputMetadata_Visualization_Type `` /* 152-byte string literal not displayed */
	// Whether to only highlight pixels with positive contributions, negative
	// or both. Defaults to POSITIVE.
	Polarity ExplanationMetadata_InputMetadata_Visualization_Polarity `` /* 164-byte string literal not displayed */
	// The color scheme used for the highlighted areas.
	//
	// Defaults to PINK_GREEN for [Integrated Gradients
	// attribution][ExplanationParameters.integrated_gradients_attribution],
	// which shows positive attributions in green and negative in pink.
	//
	// Defaults to VIRIDIS for
	// [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution], which
	// highlights the most influential regions in yellow and the least
	// influential in blue.
	ColorMap ExplanationMetadata_InputMetadata_Visualization_ColorMap `` /* 180-byte string literal not displayed */
	// Excludes attributions above the specified percentile from the
	// highlighted areas. Using the clip_percent_upperbound and
	// clip_percent_lowerbound together can be useful for filtering out noise
	// and making it easier to see areas of strong attribution. Defaults to
	// 99.9.
	ClipPercentUpperbound float32 `` /* 128-byte string literal not displayed */
	// Excludes attributions below the specified percentile, from the
	// highlighted areas. Defaults to 62.
	ClipPercentLowerbound float32 `` /* 128-byte string literal not displayed */
	// How the original image is displayed in the visualization.
	// Adjusting the overlay can help increase visual clarity if the original
	// image makes it difficult to view the visualization. Defaults to NONE.
	OverlayType ExplanationMetadata_InputMetadata_Visualization_OverlayType `` /* 192-byte string literal not displayed */
	// contains filtered or unexported fields
}

Visualization configurations for image explanation.

func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor deprecated 

func (*ExplanationMetadata_InputMetadata_Visualization) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentLowerbound() float32

func (*ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetClipPercentUpperbound() float32

func (*ExplanationMetadata_InputMetadata_Visualization) GetColorMap 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetColorMap() ExplanationMetadata_InputMetadata_Visualization_ColorMap

func (*ExplanationMetadata_InputMetadata_Visualization) GetOverlayType 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetOverlayType() ExplanationMetadata_InputMetadata_Visualization_OverlayType

func (*ExplanationMetadata_InputMetadata_Visualization) GetPolarity 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetPolarity() ExplanationMetadata_InputMetadata_Visualization_Polarity

func (*ExplanationMetadata_InputMetadata_Visualization) GetType 

func (x *ExplanationMetadata_InputMetadata_Visualization) GetType() ExplanationMetadata_InputMetadata_Visualization_Type

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage 

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoMessage()

func (*ExplanationMetadata_InputMetadata_Visualization) ProtoReflect 

func (x *ExplanationMetadata_InputMetadata_Visualization) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_InputMetadata_Visualization) Reset 

func (x *ExplanationMetadata_InputMetadata_Visualization) Reset()

func (*ExplanationMetadata_InputMetadata_Visualization) String 

func (x *ExplanationMetadata_InputMetadata_Visualization) String() string

type ExplanationMetadata_InputMetadata_Visualization_ColorMap 

type ExplanationMetadata_InputMetadata_Visualization_ColorMap int32

The color scheme used for highlighting areas. 

const (
	// Should not be used.
	ExplanationMetadata_InputMetadata_Visualization_COLOR_MAP_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 0
	// Positive: green. Negative: pink.
	ExplanationMetadata_InputMetadata_Visualization_PINK_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 1
	// Viridis color map: A perceptually uniform color mapping which is
	// easier to see by those with colorblindness and progresses from yellow
	// to green to blue. Positive: yellow. Negative: blue.
	ExplanationMetadata_InputMetadata_Visualization_VIRIDIS ExplanationMetadata_InputMetadata_Visualization_ColorMap = 2
	// Positive: red. Negative: red.
	ExplanationMetadata_InputMetadata_Visualization_RED ExplanationMetadata_InputMetadata_Visualization_ColorMap = 3
	// Positive: green. Negative: green.
	ExplanationMetadata_InputMetadata_Visualization_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 4
	// Positive: green. Negative: red.
	ExplanationMetadata_InputMetadata_Visualization_RED_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 6
	// PiYG palette.
	ExplanationMetadata_InputMetadata_Visualization_PINK_WHITE_GREEN ExplanationMetadata_InputMetadata_Visualization_ColorMap = 5
)

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Enum() *ExplanationMetadata_InputMetadata_Visualization_ColorMap

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor deprecated 

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_ColorMap.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) String 

func (x ExplanationMetadata_InputMetadata_Visualization_ColorMap) String() string

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Type 

func (ExplanationMetadata_InputMetadata_Visualization_ColorMap) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_Visualization_OverlayType 

type ExplanationMetadata_InputMetadata_Visualization_OverlayType int32

How the original image is displayed in the visualization. 

const (
	// Default value. This is the same as NONE.
	ExplanationMetadata_InputMetadata_Visualization_OVERLAY_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_OverlayType = 0
	// No overlay.
	ExplanationMetadata_InputMetadata_Visualization_NONE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 1
	// The attributions are shown on top of the original image.
	ExplanationMetadata_InputMetadata_Visualization_ORIGINAL ExplanationMetadata_InputMetadata_Visualization_OverlayType = 2
	// The attributions are shown on top of grayscaled version of the
	// original image.
	ExplanationMetadata_InputMetadata_Visualization_GRAYSCALE ExplanationMetadata_InputMetadata_Visualization_OverlayType = 3
	// The attributions are used as a mask to reveal predictive parts of
	// the image and hide the un-predictive parts.
	ExplanationMetadata_InputMetadata_Visualization_MASK_BLACK ExplanationMetadata_InputMetadata_Visualization_OverlayType = 4
)

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Enum() *ExplanationMetadata_InputMetadata_Visualization_OverlayType

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor deprecated 

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_OverlayType.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) String 

func (x ExplanationMetadata_InputMetadata_Visualization_OverlayType) String() string

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Type 

func (ExplanationMetadata_InputMetadata_Visualization_OverlayType) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_Visualization_Polarity 

type ExplanationMetadata_InputMetadata_Visualization_Polarity int32

Whether to only highlight pixels with positive contributions, negative or both. Defaults to POSITIVE. 

const (
	// Default value. This is the same as POSITIVE.
	ExplanationMetadata_InputMetadata_Visualization_POLARITY_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Polarity = 0
	// Highlights the pixels/outlines that were most influential to the
	// model's prediction.
	ExplanationMetadata_InputMetadata_Visualization_POSITIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 1
	// Setting polarity to negative highlights areas that does not lead to
	// the models's current prediction.
	ExplanationMetadata_InputMetadata_Visualization_NEGATIVE ExplanationMetadata_InputMetadata_Visualization_Polarity = 2
	// Shows both positive and negative attributions.
	ExplanationMetadata_InputMetadata_Visualization_BOTH ExplanationMetadata_InputMetadata_Visualization_Polarity = 3
)

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Enum() *ExplanationMetadata_InputMetadata_Visualization_Polarity

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor deprecated 

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Polarity.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) String 

func (x ExplanationMetadata_InputMetadata_Visualization_Polarity) String() string

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Type 

func (ExplanationMetadata_InputMetadata_Visualization_Polarity) Type() protoreflect.EnumType

type ExplanationMetadata_InputMetadata_Visualization_Type 

type ExplanationMetadata_InputMetadata_Visualization_Type int32

Type of the image visualization. Only applicable to [Integrated Gradients attribution] [ExplanationParameters.integrated_gradients_attribution]. 

const (
	// Should not be used.
	ExplanationMetadata_InputMetadata_Visualization_TYPE_UNSPECIFIED ExplanationMetadata_InputMetadata_Visualization_Type = 0
	// Shows which pixel contributed to the image prediction.
	ExplanationMetadata_InputMetadata_Visualization_PIXELS ExplanationMetadata_InputMetadata_Visualization_Type = 1
	// Shows which region contributed to the image prediction by outlining
	// the region.
	ExplanationMetadata_InputMetadata_Visualization_OUTLINES ExplanationMetadata_InputMetadata_Visualization_Type = 2
)

func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor 

func (ExplanationMetadata_InputMetadata_Visualization_Type) Descriptor() protoreflect.EnumDescriptor

func (ExplanationMetadata_InputMetadata_Visualization_Type) Enum 

func (x ExplanationMetadata_InputMetadata_Visualization_Type) Enum() *ExplanationMetadata_InputMetadata_Visualization_Type

func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor deprecated 

func (ExplanationMetadata_InputMetadata_Visualization_Type) EnumDescriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_InputMetadata_Visualization_Type.Descriptor instead.

func (ExplanationMetadata_InputMetadata_Visualization_Type) Number 

func (x ExplanationMetadata_InputMetadata_Visualization_Type) Number() protoreflect.EnumNumber

func (ExplanationMetadata_InputMetadata_Visualization_Type) String 

func (x ExplanationMetadata_InputMetadata_Visualization_Type) String() string

func (ExplanationMetadata_InputMetadata_Visualization_Type) Type 

func (ExplanationMetadata_InputMetadata_Visualization_Type) Type() protoreflect.EnumType

type ExplanationMetadata_OutputMetadata 

type ExplanationMetadata_OutputMetadata struct {

	// Defines how to map [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] to
	// [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name].
	//
	// If neither of the fields are specified,
	// [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] will not be populated.
	//
	// Types that are assignable to DisplayNameMapping:
	//	*ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping
	//	*ExplanationMetadata_OutputMetadata_DisplayNameMappingKey
	DisplayNameMapping isExplanationMetadata_OutputMetadata_DisplayNameMapping `protobuf_oneof:"display_name_mapping"`
	// Name of the output tensor. Required and is only applicable to AI
	// Platform provided images for Tensorflow.
	OutputTensorName string `protobuf:"bytes,3,opt,name=output_tensor_name,json=outputTensorName,proto3" json:"output_tensor_name,omitempty"`
	// contains filtered or unexported fields
}

Metadata of the prediction output to be explained.

func (*ExplanationMetadata_OutputMetadata) Descriptor deprecated 

func (*ExplanationMetadata_OutputMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationMetadata_OutputMetadata.ProtoReflect.Descriptor instead.

func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMapping 

func (m *ExplanationMetadata_OutputMetadata) GetDisplayNameMapping() isExplanationMetadata_OutputMetadata_DisplayNameMapping

func (*ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey 

func (x *ExplanationMetadata_OutputMetadata) GetDisplayNameMappingKey() string

func (*ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping 

func (x *ExplanationMetadata_OutputMetadata) GetIndexDisplayNameMapping() *structpb.Value

func (*ExplanationMetadata_OutputMetadata) GetOutputTensorName 

func (x *ExplanationMetadata_OutputMetadata) GetOutputTensorName() string

func (*ExplanationMetadata_OutputMetadata) ProtoMessage 

func (*ExplanationMetadata_OutputMetadata) ProtoMessage()

func (*ExplanationMetadata_OutputMetadata) ProtoReflect 

func (x *ExplanationMetadata_OutputMetadata) ProtoReflect() protoreflect.Message

func (*ExplanationMetadata_OutputMetadata) Reset 

func (x *ExplanationMetadata_OutputMetadata) Reset()

func (*ExplanationMetadata_OutputMetadata) String 

func (x *ExplanationMetadata_OutputMetadata) String() string

type ExplanationMetadata_OutputMetadata_DisplayNameMappingKey 

type ExplanationMetadata_OutputMetadata_DisplayNameMappingKey struct {
	// Specify a field name in the prediction to look for the display name.
	//
	// Use this if the prediction contains the display names for the outputs.
	//
	// The display names in the prediction must have the same shape of the
	// outputs, so that it can be located by [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] for
	// a specific output.
	DisplayNameMappingKey string `protobuf:"bytes,2,opt,name=display_name_mapping_key,json=displayNameMappingKey,proto3,oneof"`
}

type ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping 

type ExplanationMetadata_OutputMetadata_IndexDisplayNameMapping struct {
	// Static mapping between the index and display name.
	//
	// Use this if the outputs are a deterministic n-dimensional array, e.g. a
	// list of scores of all the classes in a pre-defined order for a
	// multi-classification Model. It's not feasible if the outputs are
	// non-deterministic, e.g. the Model produces top-k classes or sort the
	// outputs by their values.
	//
	// The shape of the value must be an n-dimensional array of strings. The
	// number of dimensions must match that of the outputs to be explained.
	// The [Attribution.output_display_name][google.cloud.aiplatform.v1beta1.Attribution.output_display_name] is populated by locating in the
	// mapping with [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
	IndexDisplayNameMapping *structpb.Value `protobuf:"bytes,1,opt,name=index_display_name_mapping,json=indexDisplayNameMapping,proto3,oneof"`
}

type ExplanationParameters 

type ExplanationParameters struct {

	// Types that are assignable to Method:
	//	*ExplanationParameters_SampledShapleyAttribution
	//	*ExplanationParameters_IntegratedGradientsAttribution
	//	*ExplanationParameters_XraiAttribution
	Method isExplanationParameters_Method `protobuf_oneof:"method"`
	// If populated, returns attributions for top K indices of outputs
	// (defaults to 1). Only applies to Models that predicts more than one outputs
	// (e,g, multi-class Models). When set to -1, returns explanations for all
	// outputs.
	TopK int32 `protobuf:"varint,4,opt,name=top_k,json=topK,proto3" json:"top_k,omitempty"`
	// If populated, only returns attributions that have
	// [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
	// must be an ndarray of integers, with the same shape of the output it's
	// explaining.
	//
	// If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
	// If neither top_k nor output_indeices is populated, returns the argmax
	// index of the outputs.
	//
	// Only applicable to Models that predict multiple outputs (e,g, multi-class
	// Models that predict multiple classes).
	OutputIndices *structpb.ListValue `protobuf:"bytes,5,opt,name=output_indices,json=outputIndices,proto3" json:"output_indices,omitempty"`
	// contains filtered or unexported fields
}

Parameters to configure explaining for Model's predictions.

func (*ExplanationParameters) Descriptor deprecated 

func (*ExplanationParameters) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationParameters.ProtoReflect.Descriptor instead.

func (*ExplanationParameters) GetIntegratedGradientsAttribution 

func (x *ExplanationParameters) GetIntegratedGradientsAttribution() *IntegratedGradientsAttribution

func (*ExplanationParameters) GetMethod 

func (m *ExplanationParameters) GetMethod() isExplanationParameters_Method

func (*ExplanationParameters) GetOutputIndices 

func (x *ExplanationParameters) GetOutputIndices() *structpb.ListValue

func (*ExplanationParameters) GetSampledShapleyAttribution 

func (x *ExplanationParameters) GetSampledShapleyAttribution() *SampledShapleyAttribution

func (*ExplanationParameters) GetTopK 

func (x *ExplanationParameters) GetTopK() int32

func (*ExplanationParameters) GetXraiAttribution 

func (x *ExplanationParameters) GetXraiAttribution() *XraiAttribution

func (*ExplanationParameters) ProtoMessage 

func (*ExplanationParameters) ProtoMessage()

func (*ExplanationParameters) ProtoReflect 

func (x *ExplanationParameters) ProtoReflect() protoreflect.Message

func (*ExplanationParameters) Reset 

func (x *ExplanationParameters) Reset()

func (*ExplanationParameters) String 

func (x *ExplanationParameters) String() string

type ExplanationParameters_IntegratedGradientsAttribution 

type ExplanationParameters_IntegratedGradientsAttribution struct {
	// An attribution method that computes Aumann-Shapley values taking
	// advantage of the model's fully differentiable structure. Refer to this
	// paper for more details: https://arxiv.org/abs/1703.01365
	IntegratedGradientsAttribution *IntegratedGradientsAttribution `protobuf:"bytes,2,opt,name=integrated_gradients_attribution,json=integratedGradientsAttribution,proto3,oneof"`
}

type ExplanationParameters_SampledShapleyAttribution 

type ExplanationParameters_SampledShapleyAttribution struct {
	// An attribution method that approximates Shapley values for features that
	// contribute to the label being predicted. A sampling strategy is used to
	// approximate the value rather than considering all subsets of features.
	// Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
	SampledShapleyAttribution *SampledShapleyAttribution `protobuf:"bytes,1,opt,name=sampled_shapley_attribution,json=sampledShapleyAttribution,proto3,oneof"`
}

type ExplanationParameters_XraiAttribution 

type ExplanationParameters_XraiAttribution struct {
	// An attribution method that redistributes Integrated Gradients
	// attribution to segmented regions, taking advantage of the model's fully
	// differentiable structure. Refer to this paper for
	// more details: https://arxiv.org/abs/1906.02825
	//
	// XRAI currently performs better on natural images, like a picture of a
	// house or an animal. If the images are taken in artificial environments,
	// like a lab or manufacturing line, or from diagnostic equipment, like
	// x-rays or quality-control cameras, use Integrated Gradients instead.
	XraiAttribution *XraiAttribution `protobuf:"bytes,3,opt,name=xrai_attribution,json=xraiAttribution,proto3,oneof"`
}

type ExplanationSpec 

type ExplanationSpec struct {

	// Required. Parameters that configure explaining of the Model's predictions.
	Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// Required. Metadata describing the Model's input and output for explanation.
	Metadata *ExplanationMetadata `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

Specification of Model explanation.

func (*ExplanationSpec) Descriptor deprecated 

func (*ExplanationSpec) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationSpec.ProtoReflect.Descriptor instead.

func (*ExplanationSpec) GetMetadata 

func (x *ExplanationSpec) GetMetadata() *ExplanationMetadata

func (*ExplanationSpec) GetParameters 

func (x *ExplanationSpec) GetParameters() *ExplanationParameters

func (*ExplanationSpec) ProtoMessage 

func (*ExplanationSpec) ProtoMessage()

func (*ExplanationSpec) ProtoReflect 

func (x *ExplanationSpec) ProtoReflect() protoreflect.Message

func (*ExplanationSpec) Reset 

func (x *ExplanationSpec) Reset()

func (*ExplanationSpec) String 

func (x *ExplanationSpec) String() string

type ExplanationSpecOverride 

type ExplanationSpecOverride struct {

	// The parameters to be overridden. Note that the
	// [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
	// no parameter is overridden.
	Parameters *ExplanationParameters `protobuf:"bytes,1,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// The metadata to be overridden. If not specified, no metadata is overridden.
	Metadata *ExplanationMetadataOverride `protobuf:"bytes,2,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

The ExplanationSpec[google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online explanation][PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.

func (*ExplanationSpecOverride) Descriptor deprecated 

func (*ExplanationSpecOverride) Descriptor() ([]byte, []int)

Deprecated: Use ExplanationSpecOverride.ProtoReflect.Descriptor instead.

func (*ExplanationSpecOverride) GetMetadata 

func (x *ExplanationSpecOverride) GetMetadata() *ExplanationMetadataOverride

func (*ExplanationSpecOverride) GetParameters 

func (x *ExplanationSpecOverride) GetParameters() *ExplanationParameters

func (*ExplanationSpecOverride) ProtoMessage 

func (*ExplanationSpecOverride) ProtoMessage()

func (*ExplanationSpecOverride) ProtoReflect 

func (x *ExplanationSpecOverride) ProtoReflect() protoreflect.Message

func (*ExplanationSpecOverride) Reset 

func (x *ExplanationSpecOverride) Reset()

func (*ExplanationSpecOverride) String 

func (x *ExplanationSpecOverride) String() string

type ExportDataConfig 

type ExportDataConfig struct {

	// The destination of the output.
	//
	// Types that are assignable to Destination:
	//	*ExportDataConfig_GcsDestination
	Destination isExportDataConfig_Destination `protobuf_oneof:"destination"`
	// A filter on Annotations of the Dataset. Only Annotations on to-be-exported
	// DataItems(specified by [data_items_filter][]) that match this filter will
	// be exported. The filter syntax is the same as in
	// [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].
	AnnotationsFilter string `protobuf:"bytes,2,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// contains filtered or unexported fields
}

Describes what part of the Dataset is to be exported, the destination of the export and how to export.

func (*ExportDataConfig) Descriptor deprecated 

func (*ExportDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataConfig.ProtoReflect.Descriptor instead.

func (*ExportDataConfig) GetAnnotationsFilter 

func (x *ExportDataConfig) GetAnnotationsFilter() string

func (*ExportDataConfig) GetDestination 

func (m *ExportDataConfig) GetDestination() isExportDataConfig_Destination

func (*ExportDataConfig) GetGcsDestination 

func (x *ExportDataConfig) GetGcsDestination() *GcsDestination

func (*ExportDataConfig) ProtoMessage 

func (*ExportDataConfig) ProtoMessage()

func (*ExportDataConfig) ProtoReflect 

func (x *ExportDataConfig) ProtoReflect() protoreflect.Message

func (*ExportDataConfig) Reset 

func (x *ExportDataConfig) Reset()

func (*ExportDataConfig) String 

func (x *ExportDataConfig) String() string

type ExportDataConfig_GcsDestination 

type ExportDataConfig_GcsDestination struct {
	// The Google Cloud Storage location where the output is to be written to.
	// In the given directory a new directory will be created with name:
	// `export-data-<dataset-display-name>-<timestamp-of-export-call>` where
	// timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
	// output will be written into that directory. Inside that directory,
	// annotations with the same schema will be grouped into sub directories
	// which are named with the corresponding annotations' schema title. Inside
	// these sub directories, a schema.yaml will be created to describe the
	// output format.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
}

type ExportDataOperationMetadata 

type ExportDataOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// A Google Cloud Storage directory which path ends with '/'. The exported
	// data is stored in the directory.
	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].

func (*ExportDataOperationMetadata) Descriptor deprecated 

func (*ExportDataOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportDataOperationMetadata) GetGcsOutputDirectory 

func (x *ExportDataOperationMetadata) GetGcsOutputDirectory() string

func (*ExportDataOperationMetadata) GetGenericMetadata 

func (x *ExportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportDataOperationMetadata) ProtoMessage 

func (*ExportDataOperationMetadata) ProtoMessage()

func (*ExportDataOperationMetadata) ProtoReflect 

func (x *ExportDataOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportDataOperationMetadata) Reset 

func (x *ExportDataOperationMetadata) Reset()

func (*ExportDataOperationMetadata) String 

func (x *ExportDataOperationMetadata) String() string

type ExportDataRequest 

type ExportDataRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location.
	ExportConfig *ExportDataConfig `protobuf:"bytes,2,opt,name=export_config,json=exportConfig,proto3" json:"export_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].

func (*ExportDataRequest) Descriptor deprecated 

func (*ExportDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataRequest.ProtoReflect.Descriptor instead.

func (*ExportDataRequest) GetExportConfig 

func (x *ExportDataRequest) GetExportConfig() *ExportDataConfig

func (*ExportDataRequest) GetName 

func (x *ExportDataRequest) GetName() string

func (*ExportDataRequest) ProtoMessage 

func (*ExportDataRequest) ProtoMessage()

func (*ExportDataRequest) ProtoReflect 

func (x *ExportDataRequest) ProtoReflect() protoreflect.Message

func (*ExportDataRequest) Reset 

func (x *ExportDataRequest) Reset()

func (*ExportDataRequest) String 

func (x *ExportDataRequest) String() string

type ExportDataResponse 

type ExportDataResponse struct {

	// All of the files that are exported in this export operation.
	ExportedFiles []string `protobuf:"bytes,1,rep,name=exported_files,json=exportedFiles,proto3" json:"exported_files,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].

func (*ExportDataResponse) Descriptor deprecated 

func (*ExportDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportDataResponse.ProtoReflect.Descriptor instead.

func (*ExportDataResponse) GetExportedFiles 

func (x *ExportDataResponse) GetExportedFiles() []string

func (*ExportDataResponse) ProtoMessage 

func (*ExportDataResponse) ProtoMessage()

func (*ExportDataResponse) ProtoReflect 

func (x *ExportDataResponse) ProtoReflect() protoreflect.Message

func (*ExportDataResponse) Reset 

func (x *ExportDataResponse) Reset()

func (*ExportDataResponse) String 

func (x *ExportDataResponse) String() string

type ExportFeatureValuesOperationMetadata 

type ExportFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore export Feature values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that exports Features values.

func (*ExportFeatureValuesOperationMetadata) Descriptor deprecated 

func (*ExportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesOperationMetadata) GetGenericMetadata 

func (x *ExportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportFeatureValuesOperationMetadata) ProtoMessage 

func (*ExportFeatureValuesOperationMetadata) ProtoMessage()

func (*ExportFeatureValuesOperationMetadata) ProtoReflect 

func (x *ExportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesOperationMetadata) Reset 

func (x *ExportFeatureValuesOperationMetadata) Reset()

func (*ExportFeatureValuesOperationMetadata) String 

func (x *ExportFeatureValuesOperationMetadata) String() string

type ExportFeatureValuesRequest 

type ExportFeatureValuesRequest struct {

	// Types that are assignable to Mode:
	//	*ExportFeatureValuesRequest_SnapshotExport_
	Mode isExportFeatureValuesRequest_Mode `protobuf_oneof:"mode"`
	// Required. The resource name of the EntityType from which to export Feature values.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. Specifies destination location and format.
	Destination *FeatureValueDestination `protobuf:"bytes,4,opt,name=destination,proto3" json:"destination,omitempty"`
	// Required. Selects Features to export values of.
	FeatureSelector *FeatureSelector `protobuf:"bytes,5,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// Per-Feature export settings.
	Settings []*DestinationFeatureSetting `protobuf:"bytes,6,rep,name=settings,proto3" json:"settings,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].

func (*ExportFeatureValuesRequest) Descriptor deprecated 

func (*ExportFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest) GetDestination 

func (x *ExportFeatureValuesRequest) GetDestination() *FeatureValueDestination

func (*ExportFeatureValuesRequest) GetEntityType 

func (x *ExportFeatureValuesRequest) GetEntityType() string

func (*ExportFeatureValuesRequest) GetFeatureSelector 

func (x *ExportFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*ExportFeatureValuesRequest) GetMode 

func (m *ExportFeatureValuesRequest) GetMode() isExportFeatureValuesRequest_Mode

func (*ExportFeatureValuesRequest) GetSettings 

func (x *ExportFeatureValuesRequest) GetSettings() []*DestinationFeatureSetting

func (*ExportFeatureValuesRequest) GetSnapshotExport 

func (x *ExportFeatureValuesRequest) GetSnapshotExport() *ExportFeatureValuesRequest_SnapshotExport

func (*ExportFeatureValuesRequest) ProtoMessage 

func (*ExportFeatureValuesRequest) ProtoMessage()

func (*ExportFeatureValuesRequest) ProtoReflect 

func (x *ExportFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest) Reset 

func (x *ExportFeatureValuesRequest) Reset()

func (*ExportFeatureValuesRequest) String 

func (x *ExportFeatureValuesRequest) String() string

type ExportFeatureValuesRequest_SnapshotExport 

type ExportFeatureValuesRequest_SnapshotExport struct {

	// Exports Feature values as of this timestamp. If not set,
	// retrieve values as of now. Timestamp, if present, must not have higher
	// than millisecond precision.
	SnapshotTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=snapshot_time,json=snapshotTime,proto3" json:"snapshot_time,omitempty"`
	// contains filtered or unexported fields
}

Describes exporting Feature values as of the snapshot timestamp.

func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor deprecated 

func (*ExportFeatureValuesRequest_SnapshotExport) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesRequest_SnapshotExport.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime 

func (x *ExportFeatureValuesRequest_SnapshotExport) GetSnapshotTime() *timestamppb.Timestamp

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage 

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoMessage()

func (*ExportFeatureValuesRequest_SnapshotExport) ProtoReflect 

func (x *ExportFeatureValuesRequest_SnapshotExport) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesRequest_SnapshotExport) Reset 

func (x *ExportFeatureValuesRequest_SnapshotExport) Reset()

func (*ExportFeatureValuesRequest_SnapshotExport) String 

func (x *ExportFeatureValuesRequest_SnapshotExport) String() string

type ExportFeatureValuesRequest_SnapshotExport_ 

type ExportFeatureValuesRequest_SnapshotExport_ struct {
	// Exports Feature values of all entities of the EntityType as of a snapshot
	// time.
	SnapshotExport *ExportFeatureValuesRequest_SnapshotExport `protobuf:"bytes,3,opt,name=snapshot_export,json=snapshotExport,proto3,oneof"`
}

type ExportFeatureValuesResponse 

type ExportFeatureValuesResponse struct {
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].

func (*ExportFeatureValuesResponse) Descriptor deprecated 

func (*ExportFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ExportFeatureValuesResponse) ProtoMessage 

func (*ExportFeatureValuesResponse) ProtoMessage()

func (*ExportFeatureValuesResponse) ProtoReflect 

func (x *ExportFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ExportFeatureValuesResponse) Reset 

func (x *ExportFeatureValuesResponse) Reset()

func (*ExportFeatureValuesResponse) String 

func (x *ExportFeatureValuesResponse) String() string

type ExportModelOperationMetadata 

type ExportModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Output only. Information further describing the output of this Model export.
	OutputInfo *ExportModelOperationMetadata_OutputInfo `protobuf:"bytes,2,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.

func (*ExportModelOperationMetadata) Descriptor deprecated 

func (*ExportModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*ExportModelOperationMetadata) GetGenericMetadata 

func (x *ExportModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ExportModelOperationMetadata) GetOutputInfo 

func (x *ExportModelOperationMetadata) GetOutputInfo() *ExportModelOperationMetadata_OutputInfo

func (*ExportModelOperationMetadata) ProtoMessage 

func (*ExportModelOperationMetadata) ProtoMessage()

func (*ExportModelOperationMetadata) ProtoReflect 

func (x *ExportModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*ExportModelOperationMetadata) Reset 

func (x *ExportModelOperationMetadata) Reset()

func (*ExportModelOperationMetadata) String 

func (x *ExportModelOperationMetadata) String() string

type ExportModelOperationMetadata_OutputInfo 

type ExportModelOperationMetadata_OutputInfo struct {

	// Output only. If the Model artifact is being exported to Google Cloud Storage this is
	// the full path of the directory created, into which the Model files are
	// being written to.
	ArtifactOutputUri string `protobuf:"bytes,2,opt,name=artifact_output_uri,json=artifactOutputUri,proto3" json:"artifact_output_uri,omitempty"`
	// Output only. If the Model image is being exported to Google Container Registry or
	// Artifact Registry this is the full path of the image created.
	ImageOutputUri string `protobuf:"bytes,3,opt,name=image_output_uri,json=imageOutputUri,proto3" json:"image_output_uri,omitempty"`
	// contains filtered or unexported fields
}

Further describes the output of the ExportModel. Supplements [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig].

func (*ExportModelOperationMetadata_OutputInfo) Descriptor deprecated 

func (*ExportModelOperationMetadata_OutputInfo) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelOperationMetadata_OutputInfo.ProtoReflect.Descriptor instead.

func (*ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri 

func (x *ExportModelOperationMetadata_OutputInfo) GetArtifactOutputUri() string

func (*ExportModelOperationMetadata_OutputInfo) GetImageOutputUri 

func (x *ExportModelOperationMetadata_OutputInfo) GetImageOutputUri() string

func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage 

func (*ExportModelOperationMetadata_OutputInfo) ProtoMessage()

func (*ExportModelOperationMetadata_OutputInfo) ProtoReflect 

func (x *ExportModelOperationMetadata_OutputInfo) ProtoReflect() protoreflect.Message

func (*ExportModelOperationMetadata_OutputInfo) Reset 

func (x *ExportModelOperationMetadata_OutputInfo) Reset()

func (*ExportModelOperationMetadata_OutputInfo) String 

func (x *ExportModelOperationMetadata_OutputInfo) String() string

type ExportModelRequest 

type ExportModelRequest struct {

	// Required. The resource name of the Model to export.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location and configuration.
	OutputConfig *ExportModelRequest_OutputConfig `protobuf:"bytes,2,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].

func (*ExportModelRequest) Descriptor deprecated 

func (*ExportModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelRequest.ProtoReflect.Descriptor instead.

func (*ExportModelRequest) GetName 

func (x *ExportModelRequest) GetName() string

func (*ExportModelRequest) GetOutputConfig 

func (x *ExportModelRequest) GetOutputConfig() *ExportModelRequest_OutputConfig

func (*ExportModelRequest) ProtoMessage 

func (*ExportModelRequest) ProtoMessage()

func (*ExportModelRequest) ProtoReflect 

func (x *ExportModelRequest) ProtoReflect() protoreflect.Message

func (*ExportModelRequest) Reset 

func (x *ExportModelRequest) Reset()

func (*ExportModelRequest) String 

func (x *ExportModelRequest) String() string

type ExportModelRequest_OutputConfig 

type ExportModelRequest_OutputConfig struct {

	// The ID of the format in which the Model must be exported. Each Model
	// lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
	// If no value is provided here, then the first from the list of the Model's
	// supported formats is used by default.
	ExportFormatId string `protobuf:"bytes,1,opt,name=export_format_id,json=exportFormatId,proto3" json:"export_format_id,omitempty"`
	// The Cloud Storage location where the Model artifact is to be
	// written to. Under the directory given as the destination a new one with
	// name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
	// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
	// will be created. Inside, the Model and any of its supporting files
	// will be written.
	// This field should only be set when the `exportableContent` field of the
	// [Model.supported_export_formats] object contains `ARTIFACT`.
	ArtifactDestination *GcsDestination `protobuf:"bytes,3,opt,name=artifact_destination,json=artifactDestination,proto3" json:"artifact_destination,omitempty"`
	// The Google Container Registry or Artifact Registry uri where the
	// Model container image will be copied to.
	// This field should only be set when the `exportableContent` field of the
	// [Model.supported_export_formats] object contains `IMAGE`.
	ImageDestination *ContainerRegistryDestination `protobuf:"bytes,4,opt,name=image_destination,json=imageDestination,proto3" json:"image_destination,omitempty"`
	// contains filtered or unexported fields
}

Output configuration for the Model export.

func (*ExportModelRequest_OutputConfig) Descriptor deprecated 

func (*ExportModelRequest_OutputConfig) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelRequest_OutputConfig.ProtoReflect.Descriptor instead.

func (*ExportModelRequest_OutputConfig) GetArtifactDestination 

func (x *ExportModelRequest_OutputConfig) GetArtifactDestination() *GcsDestination

func (*ExportModelRequest_OutputConfig) GetExportFormatId 

func (x *ExportModelRequest_OutputConfig) GetExportFormatId() string

func (*ExportModelRequest_OutputConfig) GetImageDestination 

func (x *ExportModelRequest_OutputConfig) GetImageDestination() *ContainerRegistryDestination

func (*ExportModelRequest_OutputConfig) ProtoMessage 

func (*ExportModelRequest_OutputConfig) ProtoMessage()

func (*ExportModelRequest_OutputConfig) ProtoReflect 

func (x *ExportModelRequest_OutputConfig) ProtoReflect() protoreflect.Message

func (*ExportModelRequest_OutputConfig) Reset 

func (x *ExportModelRequest_OutputConfig) Reset()

func (*ExportModelRequest_OutputConfig) String 

func (x *ExportModelRequest_OutputConfig) String() string

type ExportModelResponse 

type ExportModelResponse struct {
	// contains filtered or unexported fields
}

Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.

func (*ExportModelResponse) Descriptor deprecated 

func (*ExportModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportModelResponse.ProtoReflect.Descriptor instead.

func (*ExportModelResponse) ProtoMessage 

func (*ExportModelResponse) ProtoMessage()

func (*ExportModelResponse) ProtoReflect 

func (x *ExportModelResponse) ProtoReflect() protoreflect.Message

func (*ExportModelResponse) Reset 

func (x *ExportModelResponse) Reset()

func (*ExportModelResponse) String 

func (x *ExportModelResponse) String() string

type ExportTensorboardTimeSeriesDataRequest 

type ExportTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to export data from.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries string `` /* 126-byte string literal not displayed */
	// Exports the TensorboardTimeSeries' data that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of data points to return per page.
	// The default page_size will be 1000. Values must be between 1 and 10000.
	// Values above 10000 will be coerced to 10000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ExportTensorboardTimeSeries][] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ExportTensorboardTimeSeries][] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the TensorboardTimeSeries' data.
	// By default, TensorboardTimeSeries' data will be returned in a pseudo random
	// order.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].

func (*ExportTensorboardTimeSeriesDataRequest) Descriptor deprecated 

func (*ExportTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ExportTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*ExportTensorboardTimeSeriesDataRequest) GetFilter 

func (x *ExportTensorboardTimeSeriesDataRequest) GetFilter() string

func (*ExportTensorboardTimeSeriesDataRequest) GetOrderBy 

func (x *ExportTensorboardTimeSeriesDataRequest) GetOrderBy() string

func (*ExportTensorboardTimeSeriesDataRequest) GetPageSize 

func (x *ExportTensorboardTimeSeriesDataRequest) GetPageSize() int32

func (*ExportTensorboardTimeSeriesDataRequest) GetPageToken 

func (x *ExportTensorboardTimeSeriesDataRequest) GetPageToken() string

func (*ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries 

func (x *ExportTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string

func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage 

func (*ExportTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*ExportTensorboardTimeSeriesDataRequest) ProtoReflect 

func (x *ExportTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*ExportTensorboardTimeSeriesDataRequest) Reset 

func (x *ExportTensorboardTimeSeriesDataRequest) Reset()

func (*ExportTensorboardTimeSeriesDataRequest) String 

func (x *ExportTensorboardTimeSeriesDataRequest) String() string

type ExportTensorboardTimeSeriesDataResponse 

type ExportTensorboardTimeSeriesDataResponse struct {

	// The returned time series data points.
	TimeSeriesDataPoints []*TimeSeriesDataPoint `protobuf:"bytes,1,rep,name=time_series_data_points,json=timeSeriesDataPoints,proto3" json:"time_series_data_points,omitempty"`
	// A token, which can be sent as
	// [ExportTensorboardTimeSeriesRequest.page_token][] to retrieve the next
	// page. If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].

func (*ExportTensorboardTimeSeriesDataResponse) Descriptor deprecated 

func (*ExportTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ExportTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*ExportTensorboardTimeSeriesDataResponse) GetNextPageToken 

func (x *ExportTensorboardTimeSeriesDataResponse) GetNextPageToken() string

func (*ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints 

func (x *ExportTensorboardTimeSeriesDataResponse) GetTimeSeriesDataPoints() []*TimeSeriesDataPoint

func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage 

func (*ExportTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*ExportTensorboardTimeSeriesDataResponse) ProtoReflect 

func (x *ExportTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*ExportTensorboardTimeSeriesDataResponse) Reset 

func (x *ExportTensorboardTimeSeriesDataResponse) Reset()

func (*ExportTensorboardTimeSeriesDataResponse) String 

func (x *ExportTensorboardTimeSeriesDataResponse) String() string

type Feature 

type Feature struct {

	// Immutable. Name of the Feature.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	//
	// The last part feature is assigned by the client. The feature can be up to
	// 64 characters long and can consist only of ASCII Latin letters A-Z and a-z,
	// underscore(_), and ASCII digits 0-9 starting with a letter. The value will
	// be unique given an entity type.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Description of the Feature.
	Description string `protobuf:"bytes,2,opt,name=description,proto3" json:"description,omitempty"`
	// Required. Immutable. Type of Feature value.
	ValueType Feature_ValueType `` /* 144-byte string literal not displayed */
	// Output only. Timestamp when this EntityType was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this EntityType was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. The labels with user-defined metadata to organize your Features.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one Feature (System
	// labels are excluded)."
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The custom monitoring configuration for this Feature, if not set, use the
	// monitoring_config defined for the EntityType this Feature belongs to.
	//
	// If this is populated with
	// [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis
	// monitoring is disabled; if
	// [FeaturestoreMonitoringConfig.monitoring_interval][] specified, snapshot
	// analysis monitoring is enabled. Otherwise, snapshot analysis monitoring
	// config is same as the EntityType's this Feature belongs to.
	MonitoringConfig *FeaturestoreMonitoringConfig `protobuf:"bytes,9,opt,name=monitoring_config,json=monitoringConfig,proto3" json:"monitoring_config,omitempty"`
	// Output only. A list of historical [Snapshot
	// Analysis][google.cloud.aiplatform.master.FeaturestoreMonitoringConfig.SnapshotAnalysis]
	// stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time]
	// descending.
	MonitoringStats []*FeatureStatsAnomaly `protobuf:"bytes,10,rep,name=monitoring_stats,json=monitoringStats,proto3" json:"monitoring_stats,omitempty"`
	// contains filtered or unexported fields
}

Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.

func (*Feature) Descriptor deprecated 

func (*Feature) Descriptor() ([]byte, []int)

Deprecated: Use Feature.ProtoReflect.Descriptor instead.

func (*Feature) GetCreateTime 

func (x *Feature) GetCreateTime() *timestamppb.Timestamp

func (*Feature) GetDescription 

func (x *Feature) GetDescription() string

func (*Feature) GetEtag 

func (x *Feature) GetEtag() string

func (*Feature) GetLabels 

func (x *Feature) GetLabels() map[string]string

func (*Feature) GetMonitoringConfig 

func (x *Feature) GetMonitoringConfig() *FeaturestoreMonitoringConfig

func (*Feature) GetMonitoringStats 

func (x *Feature) GetMonitoringStats() []*FeatureStatsAnomaly

func (*Feature) GetName 

func (x *Feature) GetName() string

func (*Feature) GetUpdateTime 

func (x *Feature) GetUpdateTime() *timestamppb.Timestamp

func (*Feature) GetValueType 

func (x *Feature) GetValueType() Feature_ValueType

func (*Feature) ProtoMessage 

func (*Feature) ProtoMessage()

func (*Feature) ProtoReflect 

func (x *Feature) ProtoReflect() protoreflect.Message

func (*Feature) Reset 

func (x *Feature) Reset()

func (*Feature) String 

func (x *Feature) String() string

type FeatureNoiseSigma 

type FeatureNoiseSigma struct {

	// Noise sigma per feature. No noise is added to features that are not set.
	NoiseSigma []*FeatureNoiseSigma_NoiseSigmaForFeature `protobuf:"bytes,1,rep,name=noise_sigma,json=noiseSigma,proto3" json:"noise_sigma,omitempty"`
	// contains filtered or unexported fields
}

Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients.

func (*FeatureNoiseSigma) Descriptor deprecated 

func (*FeatureNoiseSigma) Descriptor() ([]byte, []int)

Deprecated: Use FeatureNoiseSigma.ProtoReflect.Descriptor instead.

func (*FeatureNoiseSigma) GetNoiseSigma 

func (x *FeatureNoiseSigma) GetNoiseSigma() []*FeatureNoiseSigma_NoiseSigmaForFeature

func (*FeatureNoiseSigma) ProtoMessage 

func (*FeatureNoiseSigma) ProtoMessage()

func (*FeatureNoiseSigma) ProtoReflect 

func (x *FeatureNoiseSigma) ProtoReflect() protoreflect.Message

func (*FeatureNoiseSigma) Reset 

func (x *FeatureNoiseSigma) Reset()

func (*FeatureNoiseSigma) String 

func (x *FeatureNoiseSigma) String() string

type FeatureNoiseSigma_NoiseSigmaForFeature 

type FeatureNoiseSigma_NoiseSigmaForFeature struct {

	// The name of the input feature for which noise sigma is provided. The
	// features are defined in
	// [explanation metadata inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// This represents the standard deviation of the Gaussian kernel that will
	// be used to add noise to the feature prior to computing gradients. Similar
	// to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] but represents the
	// noise added to the current feature. Defaults to 0.1.
	Sigma float32 `protobuf:"fixed32,2,opt,name=sigma,proto3" json:"sigma,omitempty"`
	// contains filtered or unexported fields
}

Noise sigma for a single feature.

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor deprecated 

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Descriptor() ([]byte, []int)

Deprecated: Use FeatureNoiseSigma_NoiseSigmaForFeature.ProtoReflect.Descriptor instead.

func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetName 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetName() string

func (*FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) GetSigma() float32

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage 

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoMessage()

func (*FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) ProtoReflect() protoreflect.Message

func (*FeatureNoiseSigma_NoiseSigmaForFeature) Reset 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) Reset()

func (*FeatureNoiseSigma_NoiseSigmaForFeature) String 

func (x *FeatureNoiseSigma_NoiseSigmaForFeature) String() string

type FeatureSelector 

type FeatureSelector struct {

	// Required. Matches Features based on ID.
	IdMatcher *IdMatcher `protobuf:"bytes,1,opt,name=id_matcher,json=idMatcher,proto3" json:"id_matcher,omitempty"`
	// contains filtered or unexported fields
}

Selector for Features of an EntityType.

func (*FeatureSelector) Descriptor deprecated 

func (*FeatureSelector) Descriptor() ([]byte, []int)

Deprecated: Use FeatureSelector.ProtoReflect.Descriptor instead.

func (*FeatureSelector) GetIdMatcher 

func (x *FeatureSelector) GetIdMatcher() *IdMatcher

func (*FeatureSelector) ProtoMessage 

func (*FeatureSelector) ProtoMessage()

func (*FeatureSelector) ProtoReflect 

func (x *FeatureSelector) ProtoReflect() protoreflect.Message

func (*FeatureSelector) Reset 

func (x *FeatureSelector) Reset()

func (*FeatureSelector) String 

func (x *FeatureSelector) String() string

type FeatureStatsAnomaly 

type FeatureStatsAnomaly struct {

	// Feature importance score, only populated when cross-feature monitoring is
	// enabled. For now only used to represent feature attribution score within
	// range [0, 1] for
	// [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW] and
	// [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
	Score float64 `protobuf:"fixed64,1,opt,name=score,proto3" json:"score,omitempty"`
	// Path of the stats file for current feature values in Cloud Storage bucket.
	// Format: gs://<bucket_name>/<object_name>/stats.
	// Example: gs://monitoring_bucket/feature_name/stats.
	// Stats are stored as binary format with Protobuf message
	// [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
	StatsUri string `protobuf:"bytes,3,opt,name=stats_uri,json=statsUri,proto3" json:"stats_uri,omitempty"`
	// Path of the anomaly file for current feature values in Cloud Storage
	// bucket.
	// Format: gs://<bucket_name>/<object_name>/anomalies.
	// Example: gs://monitoring_bucket/feature_name/anomalies.
	// Stats are stored as binary format with Protobuf message
	// Anoamlies are stored as binary format with Protobuf message
	// [tensorflow.metadata.v0.AnomalyInfo]
	// (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
	AnomalyUri string `protobuf:"bytes,4,opt,name=anomaly_uri,json=anomalyUri,proto3" json:"anomaly_uri,omitempty"`
	// Deviation from the current stats to baseline stats.
	//   1. For categorical feature, the distribution distance is calculated by
	//      L-inifinity norm.
	//   2. For numerical feature, the distribution distance is calculated by
	//      Jensen–Shannon divergence.
	DistributionDeviation float64 `` /* 126-byte string literal not displayed */
	// This is the threshold used when detecting anomalies.
	// The threshold can be changed by user, so this one might be different from
	// [ThresholdConfig.value][google.cloud.aiplatform.v1beta1.ThresholdConfig.value].
	AnomalyDetectionThreshold float64 `` /* 140-byte string literal not displayed */
	// The start timestamp of window where stats were generated.
	// For objectives where time window doesn't make sense (e.g. Featurestore
	// Snapshot Monitoring), start_time is only used to indicate the monitoring
	// intervals, so it always equals to (end_time - monitoring_interval).
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// The end timestamp of window where stats were generated.
	// For objectives where time window doesn't make sense (e.g. Featurestore
	// Snapshot Monitoring), end_time indicates the timestamp of the data used to
	// generate stats (e.g. timestamp we take snapshots for feature values).
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.

func (*FeatureStatsAnomaly) Descriptor deprecated 

func (*FeatureStatsAnomaly) Descriptor() ([]byte, []int)

Deprecated: Use FeatureStatsAnomaly.ProtoReflect.Descriptor instead.

func (*FeatureStatsAnomaly) GetAnomalyDetectionThreshold 

func (x *FeatureStatsAnomaly) GetAnomalyDetectionThreshold() float64

func (*FeatureStatsAnomaly) GetAnomalyUri 

func (x *FeatureStatsAnomaly) GetAnomalyUri() string

func (*FeatureStatsAnomaly) GetDistributionDeviation 

func (x *FeatureStatsAnomaly) GetDistributionDeviation() float64

func (*FeatureStatsAnomaly) GetEndTime 

func (x *FeatureStatsAnomaly) GetEndTime() *timestamppb.Timestamp

func (*FeatureStatsAnomaly) GetScore 

func (x *FeatureStatsAnomaly) GetScore() float64

func (*FeatureStatsAnomaly) GetStartTime 

func (x *FeatureStatsAnomaly) GetStartTime() *timestamppb.Timestamp

func (*FeatureStatsAnomaly) GetStatsUri 

func (x *FeatureStatsAnomaly) GetStatsUri() string

func (*FeatureStatsAnomaly) ProtoMessage 

func (*FeatureStatsAnomaly) ProtoMessage()

func (*FeatureStatsAnomaly) ProtoReflect 

func (x *FeatureStatsAnomaly) ProtoReflect() protoreflect.Message

func (*FeatureStatsAnomaly) Reset 

func (x *FeatureStatsAnomaly) Reset()

func (*FeatureStatsAnomaly) String 

func (x *FeatureStatsAnomaly) String() string

type FeatureValue 

type FeatureValue struct {

	// Value for the feature.
	//
	// Types that are assignable to Value:
	//	*FeatureValue_BoolValue
	//	*FeatureValue_DoubleValue
	//	*FeatureValue_Int64Value
	//	*FeatureValue_StringValue
	//	*FeatureValue_BoolArrayValue
	//	*FeatureValue_DoubleArrayValue
	//	*FeatureValue_Int64ArrayValue
	//	*FeatureValue_StringArrayValue
	//	*FeatureValue_BytesValue
	Value isFeatureValue_Value `protobuf_oneof:"value"`
	// Output only. Metadata of feature value.
	Metadata *FeatureValue_Metadata `protobuf:"bytes,14,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

Value for a feature. NEXT ID: 15

func (*FeatureValue) Descriptor deprecated 

func (*FeatureValue) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValue.ProtoReflect.Descriptor instead.

func (*FeatureValue) GetBoolArrayValue 

func (x *FeatureValue) GetBoolArrayValue() *BoolArray

func (*FeatureValue) GetBoolValue 

func (x *FeatureValue) GetBoolValue() bool

func (*FeatureValue) GetBytesValue 

func (x *FeatureValue) GetBytesValue() []byte

func (*FeatureValue) GetDoubleArrayValue 

func (x *FeatureValue) GetDoubleArrayValue() *DoubleArray

func (*FeatureValue) GetDoubleValue 

func (x *FeatureValue) GetDoubleValue() float64

func (*FeatureValue) GetInt64ArrayValue 

func (x *FeatureValue) GetInt64ArrayValue() *Int64Array

func (*FeatureValue) GetInt64Value 

func (x *FeatureValue) GetInt64Value() int64

func (*FeatureValue) GetMetadata 

func (x *FeatureValue) GetMetadata() *FeatureValue_Metadata

func (*FeatureValue) GetStringArrayValue 

func (x *FeatureValue) GetStringArrayValue() *StringArray

func (*FeatureValue) GetStringValue 

func (x *FeatureValue) GetStringValue() string

func (*FeatureValue) GetValue 

func (m *FeatureValue) GetValue() isFeatureValue_Value

func (*FeatureValue) ProtoMessage 

func (*FeatureValue) ProtoMessage()

func (*FeatureValue) ProtoReflect 

func (x *FeatureValue) ProtoReflect() protoreflect.Message

func (*FeatureValue) Reset 

func (x *FeatureValue) Reset()

func (*FeatureValue) String 

func (x *FeatureValue) String() string

type FeatureValueDestination 

type FeatureValueDestination struct {

	// Types that are assignable to Destination:
	//	*FeatureValueDestination_BigqueryDestination
	//	*FeatureValueDestination_TfrecordDestination
	//	*FeatureValueDestination_CsvDestination
	Destination isFeatureValueDestination_Destination `protobuf_oneof:"destination"`
	// contains filtered or unexported fields
}

A destination location for Feature values and format.

func (*FeatureValueDestination) Descriptor deprecated 

func (*FeatureValueDestination) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValueDestination.ProtoReflect.Descriptor instead.

func (*FeatureValueDestination) GetBigqueryDestination 

func (x *FeatureValueDestination) GetBigqueryDestination() *BigQueryDestination

func (*FeatureValueDestination) GetCsvDestination 

func (x *FeatureValueDestination) GetCsvDestination() *CsvDestination

func (*FeatureValueDestination) GetDestination 

func (m *FeatureValueDestination) GetDestination() isFeatureValueDestination_Destination

func (*FeatureValueDestination) GetTfrecordDestination 

func (x *FeatureValueDestination) GetTfrecordDestination() *TFRecordDestination

func (*FeatureValueDestination) ProtoMessage 

func (*FeatureValueDestination) ProtoMessage()

func (*FeatureValueDestination) ProtoReflect 

func (x *FeatureValueDestination) ProtoReflect() protoreflect.Message

func (*FeatureValueDestination) Reset 

func (x *FeatureValueDestination) Reset()

func (*FeatureValueDestination) String 

func (x *FeatureValueDestination) String() string

type FeatureValueDestination_BigqueryDestination 

type FeatureValueDestination_BigqueryDestination struct {
	// Output in BigQuery format.
	// [BigQueryDestination.output_uri][google.cloud.aiplatform.v1beta1.BigQueryDestination.output_uri] in
	// [FeatureValueDestination.bigquery_destination][google.cloud.aiplatform.v1beta1.FeatureValueDestination.bigquery_destination] must refer to a table.
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,1,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}

type FeatureValueDestination_CsvDestination 

type FeatureValueDestination_CsvDestination struct {
	// Output in CSV format. Array Feature value types are not allowed in CSV
	// format.
	CsvDestination *CsvDestination `protobuf:"bytes,3,opt,name=csv_destination,json=csvDestination,proto3,oneof"`
}

type FeatureValueDestination_TfrecordDestination 

type FeatureValueDestination_TfrecordDestination struct {
	// Output in TFRecord format.
	//
	// Below are the mapping from Feature value type
	// in Featurestore to Feature value type in TFRecord:
	//
	//     Value type in Featurestore                 | Value type in TFRecord
	//     DOUBLE, DOUBLE_ARRAY                       | FLOAT_LIST
	//     INT64, INT64_ARRAY                         | INT64_LIST
	//     STRING, STRING_ARRAY, BYTES                | BYTES_LIST
	//     true -> byte_string("true"), false -> byte_string("false")
	//     BOOL, BOOL_ARRAY (true, false)             | BYTES_LIST
	TfrecordDestination *TFRecordDestination `protobuf:"bytes,2,opt,name=tfrecord_destination,json=tfrecordDestination,proto3,oneof"`
}

type FeatureValueList 

type FeatureValueList struct {

	// A list of feature values. All of them should be the same data type.
	Values []*FeatureValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Container for list of values.

func (*FeatureValueList) Descriptor deprecated 

func (*FeatureValueList) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValueList.ProtoReflect.Descriptor instead.

func (*FeatureValueList) GetValues 

func (x *FeatureValueList) GetValues() []*FeatureValue

func (*FeatureValueList) ProtoMessage 

func (*FeatureValueList) ProtoMessage()

func (*FeatureValueList) ProtoReflect 

func (x *FeatureValueList) ProtoReflect() protoreflect.Message

func (*FeatureValueList) Reset 

func (x *FeatureValueList) Reset()

func (*FeatureValueList) String 

func (x *FeatureValueList) String() string

type FeatureValue_BoolArrayValue 

type FeatureValue_BoolArrayValue struct {
	// A list of bool type feature value.
	BoolArrayValue *BoolArray `protobuf:"bytes,7,opt,name=bool_array_value,json=boolArrayValue,proto3,oneof"`
}

type FeatureValue_BoolValue 

type FeatureValue_BoolValue struct {
	// Bool type feature value.
	BoolValue bool `protobuf:"varint,1,opt,name=bool_value,json=boolValue,proto3,oneof"`
}

type FeatureValue_BytesValue 

type FeatureValue_BytesValue struct {
	// Bytes feature value.
	BytesValue []byte `protobuf:"bytes,13,opt,name=bytes_value,json=bytesValue,proto3,oneof"`
}

type FeatureValue_DoubleArrayValue 

type FeatureValue_DoubleArrayValue struct {
	// A list of double type feature value.
	DoubleArrayValue *DoubleArray `protobuf:"bytes,8,opt,name=double_array_value,json=doubleArrayValue,proto3,oneof"`
}

type FeatureValue_DoubleValue 

type FeatureValue_DoubleValue struct {
	// Double type feature value.
	DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}

type FeatureValue_Int64ArrayValue 

type FeatureValue_Int64ArrayValue struct {
	// A list of int64 type feature value.
	Int64ArrayValue *Int64Array `protobuf:"bytes,11,opt,name=int64_array_value,json=int64ArrayValue,proto3,oneof"`
}

type FeatureValue_Int64Value 

type FeatureValue_Int64Value struct {
	// Int64 feature value.
	Int64Value int64 `protobuf:"varint,5,opt,name=int64_value,json=int64Value,proto3,oneof"`
}

type FeatureValue_Metadata 

type FeatureValue_Metadata struct {

	// Feature generation timestamp. Typically, it is provided by user at
	// feature ingestion time. If not, feature store
	// will use the system timestamp when the data is ingested into feature
	// store.
	GenerateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=generate_time,json=generateTime,proto3" json:"generate_time,omitempty"`
	// contains filtered or unexported fields
}

Metadata of feature value.

func (*FeatureValue_Metadata) Descriptor deprecated 

func (*FeatureValue_Metadata) Descriptor() ([]byte, []int)

Deprecated: Use FeatureValue_Metadata.ProtoReflect.Descriptor instead.

func (*FeatureValue_Metadata) GetGenerateTime 

func (x *FeatureValue_Metadata) GetGenerateTime() *timestamppb.Timestamp

func (*FeatureValue_Metadata) ProtoMessage 

func (*FeatureValue_Metadata) ProtoMessage()

func (*FeatureValue_Metadata) ProtoReflect 

func (x *FeatureValue_Metadata) ProtoReflect() protoreflect.Message

func (*FeatureValue_Metadata) Reset 

func (x *FeatureValue_Metadata) Reset()

func (*FeatureValue_Metadata) String 

func (x *FeatureValue_Metadata) String() string

type FeatureValue_StringArrayValue 

type FeatureValue_StringArrayValue struct {
	// A list of string type feature value.
	StringArrayValue *StringArray `protobuf:"bytes,12,opt,name=string_array_value,json=stringArrayValue,proto3,oneof"`
}

type FeatureValue_StringValue 

type FeatureValue_StringValue struct {
	// String feature value.
	StringValue string `protobuf:"bytes,6,opt,name=string_value,json=stringValue,proto3,oneof"`
}

type Feature_ValueType 

type Feature_ValueType int32

An enum representing the value type of a feature. 

const (
	// The value type is unspecified.
	Feature_VALUE_TYPE_UNSPECIFIED Feature_ValueType = 0
	// Used for Feature that is a boolean.
	Feature_BOOL Feature_ValueType = 1
	// Used for Feature that is a list of boolean.
	Feature_BOOL_ARRAY Feature_ValueType = 2
	// Used for Feature that is double.
	Feature_DOUBLE Feature_ValueType = 3
	// Used for Feature that is a list of double.
	Feature_DOUBLE_ARRAY Feature_ValueType = 4
	// Used for Feature that is INT64.
	Feature_INT64 Feature_ValueType = 9
	// Used for Feature that is a list of INT64.
	Feature_INT64_ARRAY Feature_ValueType = 10
	// Used for Feature that is string.
	Feature_STRING Feature_ValueType = 11
	// Used for Feature that is a list of String.
	Feature_STRING_ARRAY Feature_ValueType = 12
	// Used for Feature that is bytes.
	Feature_BYTES Feature_ValueType = 13
)

func (Feature_ValueType) Descriptor 

func (Feature_ValueType) Descriptor() protoreflect.EnumDescriptor

func (Feature_ValueType) Enum 

func (x Feature_ValueType) Enum() *Feature_ValueType

func (Feature_ValueType) EnumDescriptor deprecated 

func (Feature_ValueType) EnumDescriptor() ([]byte, []int)

Deprecated: Use Feature_ValueType.Descriptor instead.

func (Feature_ValueType) Number 

func (x Feature_ValueType) Number() protoreflect.EnumNumber

func (Feature_ValueType) String 

func (x Feature_ValueType) String() string

func (Feature_ValueType) Type 

func (Feature_ValueType) Type() protoreflect.EnumType

type Featurestore 

type Featurestore struct {

	// Output only. Name of the Featurestore. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this Featurestore was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Featurestore was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The labels with user-defined metadata to organize your Featurestore.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information on and examples of labels.
	// No more than 64 user labels can be associated with one Featurestore(System
	// labels are excluded)."
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Required. Config for online serving resources.
	OnlineServingConfig *Featurestore_OnlineServingConfig `protobuf:"bytes,7,opt,name=online_serving_config,json=onlineServingConfig,proto3" json:"online_serving_config,omitempty"`
	// Output only. State of the featurestore.
	State Featurestore_State `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.Featurestore_State" json:"state,omitempty"`
	// contains filtered or unexported fields
}

Featurestore configuration information on how the Featurestore is configured.

func (*Featurestore) Descriptor deprecated 

func (*Featurestore) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore.ProtoReflect.Descriptor instead.

func (*Featurestore) GetCreateTime 

func (x *Featurestore) GetCreateTime() *timestamppb.Timestamp

func (*Featurestore) GetEtag 

func (x *Featurestore) GetEtag() string

func (*Featurestore) GetLabels 

func (x *Featurestore) GetLabels() map[string]string

func (*Featurestore) GetName 

func (x *Featurestore) GetName() string

func (*Featurestore) GetOnlineServingConfig 

func (x *Featurestore) GetOnlineServingConfig() *Featurestore_OnlineServingConfig

func (*Featurestore) GetState 

func (x *Featurestore) GetState() Featurestore_State

func (*Featurestore) GetUpdateTime 

func (x *Featurestore) GetUpdateTime() *timestamppb.Timestamp

func (*Featurestore) ProtoMessage 

func (*Featurestore) ProtoMessage()

func (*Featurestore) ProtoReflect 

func (x *Featurestore) ProtoReflect() protoreflect.Message

func (*Featurestore) Reset 

func (x *Featurestore) Reset()

func (*Featurestore) String 

func (x *Featurestore) String() string

type FeaturestoreMonitoringConfig 

type FeaturestoreMonitoringConfig struct {

	// The config for Snapshot Analysis Based Feature Monitoring.
	SnapshotAnalysis *FeaturestoreMonitoringConfig_SnapshotAnalysis `protobuf:"bytes,1,opt,name=snapshot_analysis,json=snapshotAnalysis,proto3" json:"snapshot_analysis,omitempty"`
	// contains filtered or unexported fields
}

Configuration of how features in Featurestore are monitored.

func (*FeaturestoreMonitoringConfig) Descriptor deprecated 

func (*FeaturestoreMonitoringConfig) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig) GetSnapshotAnalysis 

func (x *FeaturestoreMonitoringConfig) GetSnapshotAnalysis() *FeaturestoreMonitoringConfig_SnapshotAnalysis

func (*FeaturestoreMonitoringConfig) ProtoMessage 

func (*FeaturestoreMonitoringConfig) ProtoMessage()

func (*FeaturestoreMonitoringConfig) ProtoReflect 

func (x *FeaturestoreMonitoringConfig) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig) Reset 

func (x *FeaturestoreMonitoringConfig) Reset()

func (*FeaturestoreMonitoringConfig) String 

func (x *FeaturestoreMonitoringConfig) String() string

type FeaturestoreMonitoringConfig_SnapshotAnalysis 

type FeaturestoreMonitoringConfig_SnapshotAnalysis struct {

	// The monitoring schedule for snapshot analysis.
	// For EntityType-level config:
	//   unset / disabled = true indicates disabled by
	//   default for Features under it; otherwise by default enable snapshot
	//   analysis monitoring with monitoring_interval for Features under it.
	// Feature-level config:
	//   disabled = true indicates disabled regardless of the EntityType-level
	//   config; unset monitoring_interval indicates going with EntityType-level
	//   config; otherwise run snapshot analysis monitoring with
	//   monitoring_interval regardless of the EntityType-level config.
	// Explicitly Disable the snapshot analysis based monitoring.
	Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"`
	// Configuration of the snapshot analysis based monitoring pipeline
	// running interval. The value is rolled up to full day.
	MonitoringInterval *durationpb.Duration `protobuf:"bytes,2,opt,name=monitoring_interval,json=monitoringInterval,proto3" json:"monitoring_interval,omitempty"`
	// contains filtered or unexported fields
}

Configuration of the Featurestore's Snapshot Analysis Based Monitoring. This type of analysis generates statistics for each Feature based on a snapshot of the latest feature value of each entities every monitoring_interval.

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor deprecated 

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor() ([]byte, []int)

Deprecated: Use FeaturestoreMonitoringConfig_SnapshotAnalysis.ProtoReflect.Descriptor instead.

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled() bool

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringInterval 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringInterval() *durationpb.Duration

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage 

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage()

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect() protoreflect.Message

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset()

func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) String 

func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) String() string

type FeaturestoreOnlineServingServiceClient 

type FeaturestoreOnlineServingServiceClient interface {
	// Reads Feature values of a specific entity of an EntityType. For reading
	// feature values of multiple entities of an EntityType, please use
	// StreamingReadFeatureValues.
	ReadFeatureValues(ctx context.Context, in *ReadFeatureValuesRequest, opts ...grpc.CallOption) (*ReadFeatureValuesResponse, error)
	// Reads Feature values for multiple entities. Depending on their size, data
	// for different entities may be broken
	// up across multiple responses.
	StreamingReadFeatureValues(ctx context.Context, in *StreamingReadFeatureValuesRequest, opts ...grpc.CallOption) (FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient, error)
}

FeaturestoreOnlineServingServiceClient is the client API for FeaturestoreOnlineServingService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeaturestoreOnlineServingServiceClient 

func NewFeaturestoreOnlineServingServiceClient(cc grpc.ClientConnInterface) FeaturestoreOnlineServingServiceClient

type FeaturestoreOnlineServingServiceServer 

type FeaturestoreOnlineServingServiceServer interface {
	// Reads Feature values of a specific entity of an EntityType. For reading
	// feature values of multiple entities of an EntityType, please use
	// StreamingReadFeatureValues.
	ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)
	// Reads Feature values for multiple entities. Depending on their size, data
	// for different entities may be broken
	// up across multiple responses.
	StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error
}

FeaturestoreOnlineServingServiceServer is the server API for FeaturestoreOnlineServingService service.

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient 

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient interface {
	Recv() (*ReadFeatureValuesResponse, error)
	grpc.ClientStream
}

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer 

type FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer interface {
	Send(*ReadFeatureValuesResponse) error
	grpc.ServerStream
}

type FeaturestoreServiceClient 

type FeaturestoreServiceClient interface {
	// Creates a new Featurestore in a given project and location.
	CreateFeaturestore(ctx context.Context, in *CreateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets details of a single Featurestore.
	GetFeaturestore(ctx context.Context, in *GetFeaturestoreRequest, opts ...grpc.CallOption) (*Featurestore, error)
	// Lists Featurestores in a given project and location.
	ListFeaturestores(ctx context.Context, in *ListFeaturestoresRequest, opts ...grpc.CallOption) (*ListFeaturestoresResponse, error)
	// Updates the parameters of a single Featurestore.
	UpdateFeaturestore(ctx context.Context, in *UpdateFeaturestoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deletes a single Featurestore. The Featurestore must not contain any
	// EntityTypes or `force` must be set to true for the request to succeed.
	DeleteFeaturestore(ctx context.Context, in *DeleteFeaturestoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates a new EntityType in a given Featurestore.
	CreateEntityType(ctx context.Context, in *CreateEntityTypeRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets details of a single EntityType.
	GetEntityType(ctx context.Context, in *GetEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
	// Lists EntityTypes in a given Featurestore.
	ListEntityTypes(ctx context.Context, in *ListEntityTypesRequest, opts ...grpc.CallOption) (*ListEntityTypesResponse, error)
	// Updates the parameters of a single EntityType.
	UpdateEntityType(ctx context.Context, in *UpdateEntityTypeRequest, opts ...grpc.CallOption) (*EntityType, error)
	// Deletes a single EntityType. The EntityType must not have any Features
	// or `force` must be set to true for the request to succeed.
	DeleteEntityType(ctx context.Context, in *DeleteEntityTypeRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates a new Feature in a given EntityType.
	CreateFeature(ctx context.Context, in *CreateFeatureRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates a batch of Features in a given EntityType.
	BatchCreateFeatures(ctx context.Context, in *BatchCreateFeaturesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets details of a single Feature.
	GetFeature(ctx context.Context, in *GetFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
	// Lists Features in a given EntityType.
	ListFeatures(ctx context.Context, in *ListFeaturesRequest, opts ...grpc.CallOption) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(ctx context.Context, in *UpdateFeatureRequest, opts ...grpc.CallOption) (*Feature, error)
	// Deletes a single Feature.
	DeleteFeature(ctx context.Context, in *DeleteFeatureRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Imports Feature values into the Featurestore from a source storage.
	//
	// The progress of the import is tracked by the returned operation. The
	// imported features are guaranteed to be visible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If an import operation fails, the Feature values returned from
	// reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same import request again and wait till
	// the new operation returned is marked as successfully done.
	//
	// There are also scenarios where the caller can cause inconsistency.
	//
	//  - Source data for import contains multiple distinct Feature values for
	//    the same entity ID and timestamp.
	//  - Source is modified during an import. This includes adding, updating, or
	//  removing source data and/or metadata. Examples of updating metadata
	//  include but are not limited to changing storage location, storage class,
	//  or retention policy.
	//  - Online serving cluster is under-provisioned.
	ImportFeatureValues(ctx context.Context, in *ImportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Batch reads Feature values from a Featurestore.
	//
	// This API enables batch reading Feature values, where each read
	// instance in the batch may read Feature values of entities from one or
	// more EntityTypes. Point-in-time correctness is guaranteed for Feature
	// values of each read instance as of each instance's read timestamp.
	BatchReadFeatureValues(ctx context.Context, in *BatchReadFeatureValuesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Exports Feature values from all the entities of a target EntityType.
	ExportFeatureValues(ctx context.Context, in *ExportFeatureValuesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Searches Features matching a query in a given project.
	SearchFeatures(ctx context.Context, in *SearchFeaturesRequest, opts ...grpc.CallOption) (*SearchFeaturesResponse, error)
}

FeaturestoreServiceClient is the client API for FeaturestoreService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewFeaturestoreServiceClient 

func NewFeaturestoreServiceClient(cc grpc.ClientConnInterface) FeaturestoreServiceClient

type FeaturestoreServiceServer 

type FeaturestoreServiceServer interface {
	// Creates a new Featurestore in a given project and location.
	CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunning.Operation, error)
	// Gets details of a single Featurestore.
	GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)
	// Lists Featurestores in a given project and location.
	ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)
	// Updates the parameters of a single Featurestore.
	UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunning.Operation, error)
	// Deletes a single Featurestore. The Featurestore must not contain any
	// EntityTypes or `force` must be set to true for the request to succeed.
	DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunning.Operation, error)
	// Creates a new EntityType in a given Featurestore.
	CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunning.Operation, error)
	// Gets details of a single EntityType.
	GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)
	// Lists EntityTypes in a given Featurestore.
	ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)
	// Updates the parameters of a single EntityType.
	UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)
	// Deletes a single EntityType. The EntityType must not have any Features
	// or `force` must be set to true for the request to succeed.
	DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunning.Operation, error)
	// Creates a new Feature in a given EntityType.
	CreateFeature(context.Context, *CreateFeatureRequest) (*longrunning.Operation, error)
	// Creates a batch of Features in a given EntityType.
	BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunning.Operation, error)
	// Gets details of a single Feature.
	GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)
	// Lists Features in a given EntityType.
	ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)
	// Updates the parameters of a single Feature.
	UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)
	// Deletes a single Feature.
	DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunning.Operation, error)
	// Imports Feature values into the Featurestore from a source storage.
	//
	// The progress of the import is tracked by the returned operation. The
	// imported features are guaranteed to be visible to subsequent read
	// operations after the operation is marked as successfully done.
	//
	// If an import operation fails, the Feature values returned from
	// reads and exports may be inconsistent. If consistency is
	// required, the caller must retry the same import request again and wait till
	// the new operation returned is marked as successfully done.
	//
	// There are also scenarios where the caller can cause inconsistency.
	//
	//  - Source data for import contains multiple distinct Feature values for
	//    the same entity ID and timestamp.
	//  - Source is modified during an import. This includes adding, updating, or
	//  removing source data and/or metadata. Examples of updating metadata
	//  include but are not limited to changing storage location, storage class,
	//  or retention policy.
	//  - Online serving cluster is under-provisioned.
	ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunning.Operation, error)
	// Batch reads Feature values from a Featurestore.
	//
	// This API enables batch reading Feature values, where each read
	// instance in the batch may read Feature values of entities from one or
	// more EntityTypes. Point-in-time correctness is guaranteed for Feature
	// values of each read instance as of each instance's read timestamp.
	BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunning.Operation, error)
	// Exports Feature values from all the entities of a target EntityType.
	ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunning.Operation, error)
	// Searches Features matching a query in a given project.
	SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)
}

FeaturestoreServiceServer is the server API for FeaturestoreService service.

type Featurestore_OnlineServingConfig 

type Featurestore_OnlineServingConfig struct {

	// Required. The number of nodes for each cluster. The number of nodes will not
	// scale automatically but can be scaled manually by providing different
	// values when updating.
	FixedNodeCount int32 `protobuf:"varint,2,opt,name=fixed_node_count,json=fixedNodeCount,proto3" json:"fixed_node_count,omitempty"`
	// contains filtered or unexported fields
}

OnlineServingConfig specifies the details for provisioning online serving resources.

func (*Featurestore_OnlineServingConfig) Descriptor deprecated 

func (*Featurestore_OnlineServingConfig) Descriptor() ([]byte, []int)

Deprecated: Use Featurestore_OnlineServingConfig.ProtoReflect.Descriptor instead.

func (*Featurestore_OnlineServingConfig) GetFixedNodeCount 

func (x *Featurestore_OnlineServingConfig) GetFixedNodeCount() int32

func (*Featurestore_OnlineServingConfig) ProtoMessage 

func (*Featurestore_OnlineServingConfig) ProtoMessage()

func (*Featurestore_OnlineServingConfig) ProtoReflect 

func (x *Featurestore_OnlineServingConfig) ProtoReflect() protoreflect.Message

func (*Featurestore_OnlineServingConfig) Reset 

func (x *Featurestore_OnlineServingConfig) Reset()

func (*Featurestore_OnlineServingConfig) String 

func (x *Featurestore_OnlineServingConfig) String() string

type Featurestore_State 

type Featurestore_State int32

Possible states a Featurestore can have. 

const (
	// Default value. This value is unused.
	Featurestore_STATE_UNSPECIFIED Featurestore_State = 0
	// State when the Featurestore configuration is not being updated and the
	// fields reflect the current configuration of the Featurestore. The
	// Featurestore is usable in this state.
	Featurestore_STABLE Featurestore_State = 1
	// State when the Featurestore configuration is being updated and the fields
	// reflect the updated configuration of the Featurestore, not the current
	// one. For example, `online_serving_config.fixed_node_count` can take
	// minutes to update. While the update is in progress, the Featurestore
	// will be in the UPDATING state and the value of `fixed_node_count` will be
	// the updated value. Until the update completes, the actual number of nodes
	// can still be the original value of `fixed_node_count`. The Featurestore
	// is still usable in this state.
	Featurestore_UPDATING Featurestore_State = 2
)

func (Featurestore_State) Descriptor 

func (Featurestore_State) Descriptor() protoreflect.EnumDescriptor

func (Featurestore_State) Enum 

func (x Featurestore_State) Enum() *Featurestore_State

func (Featurestore_State) EnumDescriptor deprecated 

func (Featurestore_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Featurestore_State.Descriptor instead.

func (Featurestore_State) Number 

func (x Featurestore_State) Number() protoreflect.EnumNumber

func (Featurestore_State) String 

func (x Featurestore_State) String() string

func (Featurestore_State) Type 

func (Featurestore_State) Type() protoreflect.EnumType

type FilterSplit 

type FilterSplit struct {

	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to train the Model. A filter with same syntax
	// as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
	// single DataItem is matched by more than one of the FilterSplit filters,
	// then it is assigned to the first set that applies to it in the
	// training, validation, test order.
	TrainingFilter string `protobuf:"bytes,1,opt,name=training_filter,json=trainingFilter,proto3" json:"training_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to validate the Model. A filter with same syntax
	// as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
	// single DataItem is matched by more than one of the FilterSplit filters,
	// then it is assigned to the first set that applies to it in the
	// training, validation, test order.
	ValidationFilter string `protobuf:"bytes,2,opt,name=validation_filter,json=validationFilter,proto3" json:"validation_filter,omitempty"`
	// Required. A filter on DataItems of the Dataset. DataItems that match
	// this filter are used to test the Model. A filter with same syntax
	// as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
	// single DataItem is matched by more than one of the FilterSplit filters,
	// then it is assigned to the first set that applies to it in the
	// training, validation, test order.
	TestFilter string `protobuf:"bytes,3,opt,name=test_filter,json=testFilter,proto3" json:"test_filter,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored. Currently only supported for Datasets containing DataItems. If any of the filters in this message are to match nothing, then they can be set as '-' (the minus sign).

Supported only for unstructured Datasets.

func (*FilterSplit) Descriptor deprecated 

func (*FilterSplit) Descriptor() ([]byte, []int)

Deprecated: Use FilterSplit.ProtoReflect.Descriptor instead.

func (*FilterSplit) GetTestFilter 

func (x *FilterSplit) GetTestFilter() string

func (*FilterSplit) GetTrainingFilter 

func (x *FilterSplit) GetTrainingFilter() string

func (*FilterSplit) GetValidationFilter 

func (x *FilterSplit) GetValidationFilter() string

func (*FilterSplit) ProtoMessage 

func (*FilterSplit) ProtoMessage()

func (*FilterSplit) ProtoReflect 

func (x *FilterSplit) ProtoReflect() protoreflect.Message

func (*FilterSplit) Reset 

func (x *FilterSplit) Reset()

func (*FilterSplit) String 

func (x *FilterSplit) String() string

type FractionSplit 

type FractionSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// contains filtered or unexported fields
}

Assigns the input data to training, validation, and test sets as per the given fractions. Any of `training_fraction`, `validation_fraction` and `test_fraction` may optionally be provided, they must sum to up to 1. If the provided ones sum to less than 1, the remainder is assigned to sets as decided by Vertex AI. If none of the fractions are set, by default roughly 80% of data is used for training, 10% for validation, and 10% for test.

func (*FractionSplit) Descriptor deprecated 

func (*FractionSplit) Descriptor() ([]byte, []int)

Deprecated: Use FractionSplit.ProtoReflect.Descriptor instead.

func (*FractionSplit) GetTestFraction 

func (x *FractionSplit) GetTestFraction() float64

func (*FractionSplit) GetTrainingFraction 

func (x *FractionSplit) GetTrainingFraction() float64

func (*FractionSplit) GetValidationFraction 

func (x *FractionSplit) GetValidationFraction() float64

func (*FractionSplit) ProtoMessage 

func (*FractionSplit) ProtoMessage()

func (*FractionSplit) ProtoReflect 

func (x *FractionSplit) ProtoReflect() protoreflect.Message

func (*FractionSplit) Reset 

func (x *FractionSplit) Reset()

func (*FractionSplit) String 

func (x *FractionSplit) String() string

type GcsDestination 

type GcsDestination struct {

	// Required. Google Cloud Storage URI to output directory. If the uri doesn't end with
	// '/', a '/' will be automatically appended. The directory is created if it
	// doesn't exist.
	OutputUriPrefix string `protobuf:"bytes,1,opt,name=output_uri_prefix,json=outputUriPrefix,proto3" json:"output_uri_prefix,omitempty"`
	// contains filtered or unexported fields
}

The Google Cloud Storage location where the output is to be written to.

func (*GcsDestination) Descriptor deprecated 

func (*GcsDestination) Descriptor() ([]byte, []int)

Deprecated: Use GcsDestination.ProtoReflect.Descriptor instead.

func (*GcsDestination) GetOutputUriPrefix 

func (x *GcsDestination) GetOutputUriPrefix() string

func (*GcsDestination) ProtoMessage 

func (*GcsDestination) ProtoMessage()

func (*GcsDestination) ProtoReflect 

func (x *GcsDestination) ProtoReflect() protoreflect.Message

func (*GcsDestination) Reset 

func (x *GcsDestination) Reset()

func (*GcsDestination) String 

func (x *GcsDestination) String() string

type GcsSource 

type GcsSource struct {

	// Required. Google Cloud Storage URI(-s) to the input file(s). May contain
	// wildcards. For more information on wildcards, see
	// https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames.
	Uris []string `protobuf:"bytes,1,rep,name=uris,proto3" json:"uris,omitempty"`
	// contains filtered or unexported fields
}

The Google Cloud Storage location for the input content.

func (*GcsSource) Descriptor deprecated 

func (*GcsSource) Descriptor() ([]byte, []int)

Deprecated: Use GcsSource.ProtoReflect.Descriptor instead.

func (*GcsSource) GetUris 

func (x *GcsSource) GetUris() []string

func (*GcsSource) ProtoMessage 

func (*GcsSource) ProtoMessage()

func (*GcsSource) ProtoReflect 

func (x *GcsSource) ProtoReflect() protoreflect.Message

func (*GcsSource) Reset 

func (x *GcsSource) Reset()

func (*GcsSource) String 

func (x *GcsSource) String() string

type GenericOperationMetadata 

type GenericOperationMetadata struct {

	// Output only. Partial failures encountered.
	// E.g. single files that couldn't be read.
	// This field should never exceed 20 entries.
	// Status details field will contain standard GCP error details.
	PartialFailures []*status.Status `protobuf:"bytes,1,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
	// Output only. Time when the operation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the operation was updated for the last time.
	// If the operation has finished (successfully or not), this is the finish
	// time.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// contains filtered or unexported fields
}

Generic Metadata shared by all operations.

func (*GenericOperationMetadata) Descriptor deprecated 

func (*GenericOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use GenericOperationMetadata.ProtoReflect.Descriptor instead.

func (*GenericOperationMetadata) GetCreateTime 

func (x *GenericOperationMetadata) GetCreateTime() *timestamppb.Timestamp

func (*GenericOperationMetadata) GetPartialFailures 

func (x *GenericOperationMetadata) GetPartialFailures() []*status.Status

func (*GenericOperationMetadata) GetUpdateTime 

func (x *GenericOperationMetadata) GetUpdateTime() *timestamppb.Timestamp

func (*GenericOperationMetadata) ProtoMessage 

func (*GenericOperationMetadata) ProtoMessage()

func (*GenericOperationMetadata) ProtoReflect 

func (x *GenericOperationMetadata) ProtoReflect() protoreflect.Message

func (*GenericOperationMetadata) Reset 

func (x *GenericOperationMetadata) Reset()

func (*GenericOperationMetadata) String 

func (x *GenericOperationMetadata) String() string

type GetAnnotationSpecRequest 

type GetAnnotationSpecRequest struct {

	// Required. The name of the AnnotationSpec resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].

func (*GetAnnotationSpecRequest) Descriptor deprecated 

func (*GetAnnotationSpecRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetAnnotationSpecRequest.ProtoReflect.Descriptor instead.

func (*GetAnnotationSpecRequest) GetName 

func (x *GetAnnotationSpecRequest) GetName() string

func (*GetAnnotationSpecRequest) GetReadMask 

func (x *GetAnnotationSpecRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*GetAnnotationSpecRequest) ProtoMessage 

func (*GetAnnotationSpecRequest) ProtoMessage()

func (*GetAnnotationSpecRequest) ProtoReflect 

func (x *GetAnnotationSpecRequest) ProtoReflect() protoreflect.Message

func (*GetAnnotationSpecRequest) Reset 

func (x *GetAnnotationSpecRequest) Reset()

func (*GetAnnotationSpecRequest) String 

func (x *GetAnnotationSpecRequest) String() string

type GetArtifactRequest 

type GetArtifactRequest struct {

	// Required. The resource name of the Artifact to retrieve.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].

func (*GetArtifactRequest) Descriptor deprecated 

func (*GetArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetArtifactRequest.ProtoReflect.Descriptor instead.

func (*GetArtifactRequest) GetName 

func (x *GetArtifactRequest) GetName() string

func (*GetArtifactRequest) ProtoMessage 

func (*GetArtifactRequest) ProtoMessage()

func (*GetArtifactRequest) ProtoReflect 

func (x *GetArtifactRequest) ProtoReflect() protoreflect.Message

func (*GetArtifactRequest) Reset 

func (x *GetArtifactRequest) Reset()

func (*GetArtifactRequest) String 

func (x *GetArtifactRequest) String() string

type GetBatchPredictionJobRequest 

type GetBatchPredictionJobRequest struct {

	// Required. The name of the BatchPredictionJob resource.
	// Format:
	// `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].

func (*GetBatchPredictionJobRequest) Descriptor deprecated 

func (*GetBatchPredictionJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetBatchPredictionJobRequest.ProtoReflect.Descriptor instead.

func (*GetBatchPredictionJobRequest) GetName 

func (x *GetBatchPredictionJobRequest) GetName() string

func (*GetBatchPredictionJobRequest) ProtoMessage 

func (*GetBatchPredictionJobRequest) ProtoMessage()

func (*GetBatchPredictionJobRequest) ProtoReflect 

func (x *GetBatchPredictionJobRequest) ProtoReflect() protoreflect.Message

func (*GetBatchPredictionJobRequest) Reset 

func (x *GetBatchPredictionJobRequest) Reset()

func (*GetBatchPredictionJobRequest) String 

func (x *GetBatchPredictionJobRequest) String() string

type GetContextRequest 

type GetContextRequest struct {

	// Required. The resource name of the Context to retrieve.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].

func (*GetContextRequest) Descriptor deprecated 

func (*GetContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetContextRequest.ProtoReflect.Descriptor instead.

func (*GetContextRequest) GetName 

func (x *GetContextRequest) GetName() string

func (*GetContextRequest) ProtoMessage 

func (*GetContextRequest) ProtoMessage()

func (*GetContextRequest) ProtoReflect 

func (x *GetContextRequest) ProtoReflect() protoreflect.Message

func (*GetContextRequest) Reset 

func (x *GetContextRequest) Reset()

func (*GetContextRequest) String 

func (x *GetContextRequest) String() string

type GetCustomJobRequest 

type GetCustomJobRequest struct {

	// Required. The name of the CustomJob resource.
	// Format:
	// `projects/{project}/locations/{location}/customJobs/{custom_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].

func (*GetCustomJobRequest) Descriptor deprecated 

func (*GetCustomJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetCustomJobRequest.ProtoReflect.Descriptor instead.

func (*GetCustomJobRequest) GetName 

func (x *GetCustomJobRequest) GetName() string

func (*GetCustomJobRequest) ProtoMessage 

func (*GetCustomJobRequest) ProtoMessage()

func (*GetCustomJobRequest) ProtoReflect 

func (x *GetCustomJobRequest) ProtoReflect() protoreflect.Message

func (*GetCustomJobRequest) Reset 

func (x *GetCustomJobRequest) Reset()

func (*GetCustomJobRequest) String 

func (x *GetCustomJobRequest) String() string

type GetDataLabelingJobRequest 

type GetDataLabelingJobRequest struct {

	// Required. The name of the DataLabelingJob.
	// Format:
	// `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].

func (*GetDataLabelingJobRequest) Descriptor deprecated 

func (*GetDataLabelingJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDataLabelingJobRequest.ProtoReflect.Descriptor instead.

func (*GetDataLabelingJobRequest) GetName 

func (x *GetDataLabelingJobRequest) GetName() string

func (*GetDataLabelingJobRequest) ProtoMessage 

func (*GetDataLabelingJobRequest) ProtoMessage()

func (*GetDataLabelingJobRequest) ProtoReflect 

func (x *GetDataLabelingJobRequest) ProtoReflect() protoreflect.Message

func (*GetDataLabelingJobRequest) Reset 

func (x *GetDataLabelingJobRequest) Reset()

func (*GetDataLabelingJobRequest) String 

func (x *GetDataLabelingJobRequest) String() string

type GetDatasetRequest 

type GetDatasetRequest struct {

	// Required. The name of the Dataset resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].

func (*GetDatasetRequest) Descriptor deprecated 

func (*GetDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetDatasetRequest.ProtoReflect.Descriptor instead.

func (*GetDatasetRequest) GetName 

func (x *GetDatasetRequest) GetName() string

func (*GetDatasetRequest) GetReadMask 

func (x *GetDatasetRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*GetDatasetRequest) ProtoMessage 

func (*GetDatasetRequest) ProtoMessage()

func (*GetDatasetRequest) ProtoReflect 

func (x *GetDatasetRequest) ProtoReflect() protoreflect.Message

func (*GetDatasetRequest) Reset 

func (x *GetDatasetRequest) Reset()

func (*GetDatasetRequest) String 

func (x *GetDatasetRequest) String() string

type GetEndpointRequest 

type GetEndpointRequest struct {

	// Required. The name of the Endpoint resource.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]

func (*GetEndpointRequest) Descriptor deprecated 

func (*GetEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetEndpointRequest.ProtoReflect.Descriptor instead.

func (*GetEndpointRequest) GetName 

func (x *GetEndpointRequest) GetName() string

func (*GetEndpointRequest) ProtoMessage 

func (*GetEndpointRequest) ProtoMessage()

func (*GetEndpointRequest) ProtoReflect 

func (x *GetEndpointRequest) ProtoReflect() protoreflect.Message

func (*GetEndpointRequest) Reset 

func (x *GetEndpointRequest) Reset()

func (*GetEndpointRequest) String 

func (x *GetEndpointRequest) String() string

type GetEntityTypeRequest 

type GetEntityTypeRequest struct {

	// Required. The name of the EntityType resource.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].

func (*GetEntityTypeRequest) Descriptor deprecated 

func (*GetEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*GetEntityTypeRequest) GetName 

func (x *GetEntityTypeRequest) GetName() string

func (*GetEntityTypeRequest) ProtoMessage 

func (*GetEntityTypeRequest) ProtoMessage()

func (*GetEntityTypeRequest) ProtoReflect 

func (x *GetEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*GetEntityTypeRequest) Reset 

func (x *GetEntityTypeRequest) Reset()

func (*GetEntityTypeRequest) String 

func (x *GetEntityTypeRequest) String() string

type GetExecutionRequest 

type GetExecutionRequest struct {

	// Required. The resource name of the Execution to retrieve.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].

func (*GetExecutionRequest) Descriptor deprecated 

func (*GetExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetExecutionRequest.ProtoReflect.Descriptor instead.

func (*GetExecutionRequest) GetName 

func (x *GetExecutionRequest) GetName() string

func (*GetExecutionRequest) ProtoMessage 

func (*GetExecutionRequest) ProtoMessage()

func (*GetExecutionRequest) ProtoReflect 

func (x *GetExecutionRequest) ProtoReflect() protoreflect.Message

func (*GetExecutionRequest) Reset 

func (x *GetExecutionRequest) Reset()

func (*GetExecutionRequest) String 

func (x *GetExecutionRequest) String() string

type GetFeatureRequest 

type GetFeatureRequest struct {

	// Required. The name of the Feature resource.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].

func (*GetFeatureRequest) Descriptor deprecated 

func (*GetFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeatureRequest.ProtoReflect.Descriptor instead.

func (*GetFeatureRequest) GetName 

func (x *GetFeatureRequest) GetName() string

func (*GetFeatureRequest) ProtoMessage 

func (*GetFeatureRequest) ProtoMessage()

func (*GetFeatureRequest) ProtoReflect 

func (x *GetFeatureRequest) ProtoReflect() protoreflect.Message

func (*GetFeatureRequest) Reset 

func (x *GetFeatureRequest) Reset()

func (*GetFeatureRequest) String 

func (x *GetFeatureRequest) String() string

type GetFeaturestoreRequest 

type GetFeaturestoreRequest struct {

	// Required. The name of the Featurestore resource.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].

func (*GetFeaturestoreRequest) Descriptor deprecated 

func (*GetFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*GetFeaturestoreRequest) GetName 

func (x *GetFeaturestoreRequest) GetName() string

func (*GetFeaturestoreRequest) ProtoMessage 

func (*GetFeaturestoreRequest) ProtoMessage()

func (*GetFeaturestoreRequest) ProtoReflect 

func (x *GetFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*GetFeaturestoreRequest) Reset 

func (x *GetFeaturestoreRequest) Reset()

func (*GetFeaturestoreRequest) String 

func (x *GetFeaturestoreRequest) String() string

type GetHyperparameterTuningJobRequest 

type GetHyperparameterTuningJobRequest struct {

	// Required. The name of the HyperparameterTuningJob resource.
	// Format:
	// `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].

func (*GetHyperparameterTuningJobRequest) Descriptor deprecated 

func (*GetHyperparameterTuningJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetHyperparameterTuningJobRequest.ProtoReflect.Descriptor instead.

func (*GetHyperparameterTuningJobRequest) GetName 

func (x *GetHyperparameterTuningJobRequest) GetName() string

func (*GetHyperparameterTuningJobRequest) ProtoMessage 

func (*GetHyperparameterTuningJobRequest) ProtoMessage()

func (*GetHyperparameterTuningJobRequest) ProtoReflect 

func (x *GetHyperparameterTuningJobRequest) ProtoReflect() protoreflect.Message

func (*GetHyperparameterTuningJobRequest) Reset 

func (x *GetHyperparameterTuningJobRequest) Reset()

func (*GetHyperparameterTuningJobRequest) String 

func (x *GetHyperparameterTuningJobRequest) String() string

type GetIndexEndpointRequest 

type GetIndexEndpointRequest struct {

	// Required. The name of the IndexEndpoint resource.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]

func (*GetIndexEndpointRequest) Descriptor deprecated 

func (*GetIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*GetIndexEndpointRequest) GetName 

func (x *GetIndexEndpointRequest) GetName() string

func (*GetIndexEndpointRequest) ProtoMessage 

func (*GetIndexEndpointRequest) ProtoMessage()

func (*GetIndexEndpointRequest) ProtoReflect 

func (x *GetIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*GetIndexEndpointRequest) Reset 

func (x *GetIndexEndpointRequest) Reset()

func (*GetIndexEndpointRequest) String 

func (x *GetIndexEndpointRequest) String() string

type GetIndexRequest 

type GetIndexRequest struct {

	// Required. The name of the Index resource.
	// Format:
	// `projects/{project}/locations/{location}/indexes/{index}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]

func (*GetIndexRequest) Descriptor deprecated 

func (*GetIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetIndexRequest.ProtoReflect.Descriptor instead.

func (*GetIndexRequest) GetName 

func (x *GetIndexRequest) GetName() string

func (*GetIndexRequest) ProtoMessage 

func (*GetIndexRequest) ProtoMessage()

func (*GetIndexRequest) ProtoReflect 

func (x *GetIndexRequest) ProtoReflect() protoreflect.Message

func (*GetIndexRequest) Reset 

func (x *GetIndexRequest) Reset()

func (*GetIndexRequest) String 

func (x *GetIndexRequest) String() string

type GetMetadataSchemaRequest 

type GetMetadataSchemaRequest struct {

	// Required. The resource name of the MetadataSchema to retrieve.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/metadataSchemas/{metadataschema}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].

func (*GetMetadataSchemaRequest) Descriptor deprecated 

func (*GetMetadataSchemaRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetMetadataSchemaRequest.ProtoReflect.Descriptor instead.

func (*GetMetadataSchemaRequest) GetName 

func (x *GetMetadataSchemaRequest) GetName() string

func (*GetMetadataSchemaRequest) ProtoMessage 

func (*GetMetadataSchemaRequest) ProtoMessage()

func (*GetMetadataSchemaRequest) ProtoReflect 

func (x *GetMetadataSchemaRequest) ProtoReflect() protoreflect.Message

func (*GetMetadataSchemaRequest) Reset 

func (x *GetMetadataSchemaRequest) Reset()

func (*GetMetadataSchemaRequest) String 

func (x *GetMetadataSchemaRequest) String() string

type GetMetadataStoreRequest 

type GetMetadataStoreRequest struct {

	// Required. The resource name of the MetadataStore to retrieve.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].

func (*GetMetadataStoreRequest) Descriptor deprecated 

func (*GetMetadataStoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetMetadataStoreRequest.ProtoReflect.Descriptor instead.

func (*GetMetadataStoreRequest) GetName 

func (x *GetMetadataStoreRequest) GetName() string

func (*GetMetadataStoreRequest) ProtoMessage 

func (*GetMetadataStoreRequest) ProtoMessage()

func (*GetMetadataStoreRequest) ProtoReflect 

func (x *GetMetadataStoreRequest) ProtoReflect() protoreflect.Message

func (*GetMetadataStoreRequest) Reset 

func (x *GetMetadataStoreRequest) Reset()

func (*GetMetadataStoreRequest) String 

func (x *GetMetadataStoreRequest) String() string

type GetModelDeploymentMonitoringJobRequest 

type GetModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.GetModelDeploymentMonitoringJob].

func (*GetModelDeploymentMonitoringJobRequest) Descriptor deprecated 

func (*GetModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*GetModelDeploymentMonitoringJobRequest) GetName 

func (x *GetModelDeploymentMonitoringJobRequest) GetName() string

func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*GetModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*GetModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *GetModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*GetModelDeploymentMonitoringJobRequest) Reset 

func (x *GetModelDeploymentMonitoringJobRequest) Reset()

func (*GetModelDeploymentMonitoringJobRequest) String 

func (x *GetModelDeploymentMonitoringJobRequest) String() string

type GetModelEvaluationRequest 

type GetModelEvaluationRequest struct {

	// Required. The name of the ModelEvaluation resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].

func (*GetModelEvaluationRequest) Descriptor deprecated 

func (*GetModelEvaluationRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelEvaluationRequest.ProtoReflect.Descriptor instead.

func (*GetModelEvaluationRequest) GetName 

func (x *GetModelEvaluationRequest) GetName() string

func (*GetModelEvaluationRequest) ProtoMessage 

func (*GetModelEvaluationRequest) ProtoMessage()

func (*GetModelEvaluationRequest) ProtoReflect 

func (x *GetModelEvaluationRequest) ProtoReflect() protoreflect.Message

func (*GetModelEvaluationRequest) Reset 

func (x *GetModelEvaluationRequest) Reset()

func (*GetModelEvaluationRequest) String 

func (x *GetModelEvaluationRequest) String() string

type GetModelEvaluationSliceRequest 

type GetModelEvaluationSliceRequest struct {

	// Required. The name of the ModelEvaluationSlice resource.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].

func (*GetModelEvaluationSliceRequest) Descriptor deprecated 

func (*GetModelEvaluationSliceRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelEvaluationSliceRequest.ProtoReflect.Descriptor instead.

func (*GetModelEvaluationSliceRequest) GetName 

func (x *GetModelEvaluationSliceRequest) GetName() string

func (*GetModelEvaluationSliceRequest) ProtoMessage 

func (*GetModelEvaluationSliceRequest) ProtoMessage()

func (*GetModelEvaluationSliceRequest) ProtoReflect 

func (x *GetModelEvaluationSliceRequest) ProtoReflect() protoreflect.Message

func (*GetModelEvaluationSliceRequest) Reset 

func (x *GetModelEvaluationSliceRequest) Reset()

func (*GetModelEvaluationSliceRequest) String 

func (x *GetModelEvaluationSliceRequest) String() string

type GetModelRequest 

type GetModelRequest struct {

	// Required. The name of the Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].

func (*GetModelRequest) Descriptor deprecated 

func (*GetModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetModelRequest.ProtoReflect.Descriptor instead.

func (*GetModelRequest) GetName 

func (x *GetModelRequest) GetName() string

func (*GetModelRequest) ProtoMessage 

func (*GetModelRequest) ProtoMessage()

func (*GetModelRequest) ProtoReflect 

func (x *GetModelRequest) ProtoReflect() protoreflect.Message

func (*GetModelRequest) Reset 

func (x *GetModelRequest) Reset()

func (*GetModelRequest) String 

func (x *GetModelRequest) String() string

type GetPipelineJobRequest 

type GetPipelineJobRequest struct {

	// Required. The name of the PipelineJob resource.
	// Format:
	// `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].

func (*GetPipelineJobRequest) Descriptor deprecated 

func (*GetPipelineJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetPipelineJobRequest.ProtoReflect.Descriptor instead.

func (*GetPipelineJobRequest) GetName 

func (x *GetPipelineJobRequest) GetName() string

func (*GetPipelineJobRequest) ProtoMessage 

func (*GetPipelineJobRequest) ProtoMessage()

func (*GetPipelineJobRequest) ProtoReflect 

func (x *GetPipelineJobRequest) ProtoReflect() protoreflect.Message

func (*GetPipelineJobRequest) Reset 

func (x *GetPipelineJobRequest) Reset()

func (*GetPipelineJobRequest) String 

func (x *GetPipelineJobRequest) String() string

type GetSpecialistPoolRequest 

type GetSpecialistPoolRequest struct {

	// Required. The name of the SpecialistPool resource.
	// The form is
	// `projects/{project}/locations/{location}/specialistPools/{specialist_pool}`.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].

func (*GetSpecialistPoolRequest) Descriptor deprecated 

func (*GetSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*GetSpecialistPoolRequest) GetName 

func (x *GetSpecialistPoolRequest) GetName() string

func (*GetSpecialistPoolRequest) ProtoMessage 

func (*GetSpecialistPoolRequest) ProtoMessage()

func (*GetSpecialistPoolRequest) ProtoReflect 

func (x *GetSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*GetSpecialistPoolRequest) Reset 

func (x *GetSpecialistPoolRequest) Reset()

func (*GetSpecialistPoolRequest) String 

func (x *GetSpecialistPoolRequest) String() string

type GetStudyRequest 

type GetStudyRequest struct {

	// Required. The name of the Study resource.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].

func (*GetStudyRequest) Descriptor deprecated 

func (*GetStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetStudyRequest.ProtoReflect.Descriptor instead.

func (*GetStudyRequest) GetName 

func (x *GetStudyRequest) GetName() string

func (*GetStudyRequest) ProtoMessage 

func (*GetStudyRequest) ProtoMessage()

func (*GetStudyRequest) ProtoReflect 

func (x *GetStudyRequest) ProtoReflect() protoreflect.Message

func (*GetStudyRequest) Reset 

func (x *GetStudyRequest) Reset()

func (*GetStudyRequest) String 

func (x *GetStudyRequest) String() string

type GetTensorboardExperimentRequest 

type GetTensorboardExperimentRequest struct {

	// Required. The name of the TensorboardExperiment resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].

func (*GetTensorboardExperimentRequest) Descriptor deprecated 

func (*GetTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardExperimentRequest) GetName 

func (x *GetTensorboardExperimentRequest) GetName() string

func (*GetTensorboardExperimentRequest) ProtoMessage 

func (*GetTensorboardExperimentRequest) ProtoMessage()

func (*GetTensorboardExperimentRequest) ProtoReflect 

func (x *GetTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardExperimentRequest) Reset 

func (x *GetTensorboardExperimentRequest) Reset()

func (*GetTensorboardExperimentRequest) String 

func (x *GetTensorboardExperimentRequest) String() string

type GetTensorboardRequest 

type GetTensorboardRequest struct {

	// Required. The name of the Tensorboard resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].

func (*GetTensorboardRequest) Descriptor deprecated 

func (*GetTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardRequest) GetName 

func (x *GetTensorboardRequest) GetName() string

func (*GetTensorboardRequest) ProtoMessage 

func (*GetTensorboardRequest) ProtoMessage()

func (*GetTensorboardRequest) ProtoReflect 

func (x *GetTensorboardRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardRequest) Reset 

func (x *GetTensorboardRequest) Reset()

func (*GetTensorboardRequest) String 

func (x *GetTensorboardRequest) String() string

type GetTensorboardRunRequest 

type GetTensorboardRunRequest struct {

	// Required. The name of the TensorboardRun resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].

func (*GetTensorboardRunRequest) Descriptor deprecated 

func (*GetTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardRunRequest) GetName 

func (x *GetTensorboardRunRequest) GetName() string

func (*GetTensorboardRunRequest) ProtoMessage 

func (*GetTensorboardRunRequest) ProtoMessage()

func (*GetTensorboardRunRequest) ProtoReflect 

func (x *GetTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardRunRequest) Reset 

func (x *GetTensorboardRunRequest) Reset()

func (*GetTensorboardRunRequest) String 

func (x *GetTensorboardRunRequest) String() string

type GetTensorboardTimeSeriesRequest 

type GetTensorboardTimeSeriesRequest struct {

	// Required. The name of the TensorboardTimeSeries resource.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].

func (*GetTensorboardTimeSeriesRequest) Descriptor deprecated 

func (*GetTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*GetTensorboardTimeSeriesRequest) GetName 

func (x *GetTensorboardTimeSeriesRequest) GetName() string

func (*GetTensorboardTimeSeriesRequest) ProtoMessage 

func (*GetTensorboardTimeSeriesRequest) ProtoMessage()

func (*GetTensorboardTimeSeriesRequest) ProtoReflect 

func (x *GetTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*GetTensorboardTimeSeriesRequest) Reset 

func (x *GetTensorboardTimeSeriesRequest) Reset()

func (*GetTensorboardTimeSeriesRequest) String 

func (x *GetTensorboardTimeSeriesRequest) String() string

type GetTrainingPipelineRequest 

type GetTrainingPipelineRequest struct {

	// Required. The name of the TrainingPipeline resource.
	// Format:
	// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].

func (*GetTrainingPipelineRequest) Descriptor deprecated 

func (*GetTrainingPipelineRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTrainingPipelineRequest.ProtoReflect.Descriptor instead.

func (*GetTrainingPipelineRequest) GetName 

func (x *GetTrainingPipelineRequest) GetName() string

func (*GetTrainingPipelineRequest) ProtoMessage 

func (*GetTrainingPipelineRequest) ProtoMessage()

func (*GetTrainingPipelineRequest) ProtoReflect 

func (x *GetTrainingPipelineRequest) ProtoReflect() protoreflect.Message

func (*GetTrainingPipelineRequest) Reset 

func (x *GetTrainingPipelineRequest) Reset()

func (*GetTrainingPipelineRequest) String 

func (x *GetTrainingPipelineRequest) String() string

type GetTrialRequest 

type GetTrialRequest struct {

	// Required. The name of the Trial resource.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].

func (*GetTrialRequest) Descriptor deprecated 

func (*GetTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use GetTrialRequest.ProtoReflect.Descriptor instead.

func (*GetTrialRequest) GetName 

func (x *GetTrialRequest) GetName() string

func (*GetTrialRequest) ProtoMessage 

func (*GetTrialRequest) ProtoMessage()

func (*GetTrialRequest) ProtoReflect 

func (x *GetTrialRequest) ProtoReflect() protoreflect.Message

func (*GetTrialRequest) Reset 

func (x *GetTrialRequest) Reset()

func (*GetTrialRequest) String 

func (x *GetTrialRequest) String() string

type HyperparameterTuningJob 

type HyperparameterTuningJob struct {

	// Output only. Resource name of the HyperparameterTuningJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the HyperparameterTuningJob.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Study configuration of the HyperparameterTuningJob.
	StudySpec *StudySpec `protobuf:"bytes,4,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`
	// Required. The desired total number of Trials.
	MaxTrialCount int32 `protobuf:"varint,5,opt,name=max_trial_count,json=maxTrialCount,proto3" json:"max_trial_count,omitempty"`
	// Required. The desired number of Trials to run in parallel.
	ParallelTrialCount int32 `protobuf:"varint,6,opt,name=parallel_trial_count,json=parallelTrialCount,proto3" json:"parallel_trial_count,omitempty"`
	// The number of failed Trials that need to be seen before failing
	// the HyperparameterTuningJob.
	//
	// If set to 0, Vertex AI decides how many Trials must fail
	// before the whole job fails.
	MaxFailedTrialCount int32 `protobuf:"varint,7,opt,name=max_failed_trial_count,json=maxFailedTrialCount,proto3" json:"max_failed_trial_count,omitempty"`
	// Required. The spec of a trial job. The same spec applies to the CustomJobs created
	// in all the trials.
	TrialJobSpec *CustomJobSpec `protobuf:"bytes,8,opt,name=trial_job_spec,json=trialJobSpec,proto3" json:"trial_job_spec,omitempty"`
	// Output only. Trials of the HyperparameterTuningJob.
	Trials []*Trial `protobuf:"bytes,9,rep,name=trials,proto3" json:"trials,omitempty"`
	// Output only. The detailed state of the job.
	State JobState `protobuf:"varint,10,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.JobState" json:"state,omitempty"`
	// Output only. Time when the HyperparameterTuningJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the HyperparameterTuningJob for the first time entered the
	// `JOB_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the HyperparameterTuningJob entered any of the following states:
	// `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the HyperparameterTuningJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Only populated when job's state is JOB_STATE_FAILED or
	// JOB_STATE_CANCELLED.
	Error *status.Status `protobuf:"bytes,15,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize HyperparameterTuningJobs.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Customer-managed encryption key options for a HyperparameterTuningJob.
	// If this is set, then all resources created by the HyperparameterTuningJob
	// will be encrypted with the provided encryption key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,17,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

func (*HyperparameterTuningJob) Descriptor deprecated 

func (*HyperparameterTuningJob) Descriptor() ([]byte, []int)

Deprecated: Use HyperparameterTuningJob.ProtoReflect.Descriptor instead.

func (*HyperparameterTuningJob) GetCreateTime 

func (x *HyperparameterTuningJob) GetCreateTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetDisplayName 

func (x *HyperparameterTuningJob) GetDisplayName() string

func (*HyperparameterTuningJob) GetEncryptionSpec 

func (x *HyperparameterTuningJob) GetEncryptionSpec() *EncryptionSpec

func (*HyperparameterTuningJob) GetEndTime 

func (x *HyperparameterTuningJob) GetEndTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetError 

func (x *HyperparameterTuningJob) GetError() *status.Status

func (*HyperparameterTuningJob) GetLabels 

func (x *HyperparameterTuningJob) GetLabels() map[string]string

func (*HyperparameterTuningJob) GetMaxFailedTrialCount 

func (x *HyperparameterTuningJob) GetMaxFailedTrialCount() int32

func (*HyperparameterTuningJob) GetMaxTrialCount 

func (x *HyperparameterTuningJob) GetMaxTrialCount() int32

func (*HyperparameterTuningJob) GetName 

func (x *HyperparameterTuningJob) GetName() string

func (*HyperparameterTuningJob) GetParallelTrialCount 

func (x *HyperparameterTuningJob) GetParallelTrialCount() int32

func (*HyperparameterTuningJob) GetStartTime 

func (x *HyperparameterTuningJob) GetStartTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) GetState 

func (x *HyperparameterTuningJob) GetState() JobState

func (*HyperparameterTuningJob) GetStudySpec 

func (x *HyperparameterTuningJob) GetStudySpec() *StudySpec

func (*HyperparameterTuningJob) GetTrialJobSpec 

func (x *HyperparameterTuningJob) GetTrialJobSpec() *CustomJobSpec

func (*HyperparameterTuningJob) GetTrials 

func (x *HyperparameterTuningJob) GetTrials() []*Trial

func (*HyperparameterTuningJob) GetUpdateTime 

func (x *HyperparameterTuningJob) GetUpdateTime() *timestamppb.Timestamp

func (*HyperparameterTuningJob) ProtoMessage 

func (*HyperparameterTuningJob) ProtoMessage()

func (*HyperparameterTuningJob) ProtoReflect 

func (x *HyperparameterTuningJob) ProtoReflect() protoreflect.Message

func (*HyperparameterTuningJob) Reset 

func (x *HyperparameterTuningJob) Reset()

func (*HyperparameterTuningJob) String 

func (x *HyperparameterTuningJob) String() string

type IdMatcher 

type IdMatcher struct {

	// Required. The following are accepted as `ids`:
	//
	//  * A single-element list containing only `*`, which selects all Features
	//  in the target EntityType, or
	//  * A list containing only Feature IDs, which selects only Features with
	//  those IDs in the target EntityType.
	Ids []string `protobuf:"bytes,1,rep,name=ids,proto3" json:"ids,omitempty"`
	// contains filtered or unexported fields
}

Matcher for Features of an EntityType by Feature ID.

func (*IdMatcher) Descriptor deprecated 

func (*IdMatcher) Descriptor() ([]byte, []int)

Deprecated: Use IdMatcher.ProtoReflect.Descriptor instead.

func (*IdMatcher) GetIds 

func (x *IdMatcher) GetIds() []string

func (*IdMatcher) ProtoMessage 

func (*IdMatcher) ProtoMessage()

func (*IdMatcher) ProtoReflect 

func (x *IdMatcher) ProtoReflect() protoreflect.Message

func (*IdMatcher) Reset 

func (x *IdMatcher) Reset()

func (*IdMatcher) String 

func (x *IdMatcher) String() string

type ImportDataConfig 

type ImportDataConfig struct {

	// The source of the input.
	//
	// Types that are assignable to Source:
	//	*ImportDataConfig_GcsSource
	Source isImportDataConfig_Source `protobuf_oneof:"source"`
	// Labels that will be applied to newly imported DataItems. If an identical
	// DataItem as one being imported already exists in the Dataset, then these
	// labels will be appended to these of the already existing one, and if labels
	// with identical key is imported before, the old label value will be
	// overwritten. If two DataItems are identical in the same import data
	// operation, the labels will be combined and if key collision happens in this
	// case, one of the values will be picked randomly. Two DataItems are
	// considered identical if their content bytes are identical (e.g. image bytes
	// or pdf bytes).
	// These labels will be overridden by Annotation labels specified inside index
	// file referenced by [import_schema_uri][google.cloud.aiplatform.v1beta1.ImportDataConfig.import_schema_uri], e.g. jsonl file.
	DataItemLabels map[string]string `` /* 193-byte string literal not displayed */
	// Required. Points to a YAML file stored on Google Cloud Storage describing the import
	// format. Validation will be done against the schema. The schema is defined
	// as an [OpenAPI 3.0.2 Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	ImportSchemaUri string `protobuf:"bytes,4,opt,name=import_schema_uri,json=importSchemaUri,proto3" json:"import_schema_uri,omitempty"`
	// contains filtered or unexported fields
}

Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.

func (*ImportDataConfig) Descriptor deprecated 

func (*ImportDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataConfig.ProtoReflect.Descriptor instead.

func (*ImportDataConfig) GetDataItemLabels 

func (x *ImportDataConfig) GetDataItemLabels() map[string]string

func (*ImportDataConfig) GetGcsSource 

func (x *ImportDataConfig) GetGcsSource() *GcsSource

func (*ImportDataConfig) GetImportSchemaUri 

func (x *ImportDataConfig) GetImportSchemaUri() string

func (*ImportDataConfig) GetSource 

func (m *ImportDataConfig) GetSource() isImportDataConfig_Source

func (*ImportDataConfig) ProtoMessage 

func (*ImportDataConfig) ProtoMessage()

func (*ImportDataConfig) ProtoReflect 

func (x *ImportDataConfig) ProtoReflect() protoreflect.Message

func (*ImportDataConfig) Reset 

func (x *ImportDataConfig) Reset()

func (*ImportDataConfig) String 

func (x *ImportDataConfig) String() string

type ImportDataConfig_GcsSource 

type ImportDataConfig_GcsSource struct {
	// The Google Cloud Storage location for the input content.
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type ImportDataOperationMetadata 

type ImportDataOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].

func (*ImportDataOperationMetadata) Descriptor deprecated 

func (*ImportDataOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataOperationMetadata.ProtoReflect.Descriptor instead.

func (*ImportDataOperationMetadata) GetGenericMetadata 

func (x *ImportDataOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ImportDataOperationMetadata) ProtoMessage 

func (*ImportDataOperationMetadata) ProtoMessage()

func (*ImportDataOperationMetadata) ProtoReflect 

func (x *ImportDataOperationMetadata) ProtoReflect() protoreflect.Message

func (*ImportDataOperationMetadata) Reset 

func (x *ImportDataOperationMetadata) Reset()

func (*ImportDataOperationMetadata) String 

func (x *ImportDataOperationMetadata) String() string

type ImportDataRequest 

type ImportDataRequest struct {

	// Required. The name of the Dataset resource.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired input locations. The contents of all input locations will be
	// imported in one batch.
	ImportConfigs []*ImportDataConfig `protobuf:"bytes,2,rep,name=import_configs,json=importConfigs,proto3" json:"import_configs,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].

func (*ImportDataRequest) Descriptor deprecated 

func (*ImportDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataRequest.ProtoReflect.Descriptor instead.

func (*ImportDataRequest) GetImportConfigs 

func (x *ImportDataRequest) GetImportConfigs() []*ImportDataConfig

func (*ImportDataRequest) GetName 

func (x *ImportDataRequest) GetName() string

func (*ImportDataRequest) ProtoMessage 

func (*ImportDataRequest) ProtoMessage()

func (*ImportDataRequest) ProtoReflect 

func (x *ImportDataRequest) ProtoReflect() protoreflect.Message

func (*ImportDataRequest) Reset 

func (x *ImportDataRequest) Reset()

func (*ImportDataRequest) String 

func (x *ImportDataRequest) String() string

type ImportDataResponse 

type ImportDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].

func (*ImportDataResponse) Descriptor deprecated 

func (*ImportDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ImportDataResponse.ProtoReflect.Descriptor instead.

func (*ImportDataResponse) ProtoMessage 

func (*ImportDataResponse) ProtoMessage()

func (*ImportDataResponse) ProtoReflect 

func (x *ImportDataResponse) ProtoReflect() protoreflect.Message

func (*ImportDataResponse) Reset 

func (x *ImportDataResponse) Reset()

func (*ImportDataResponse) String 

func (x *ImportDataResponse) String() string

type ImportFeatureValuesOperationMetadata 

type ImportFeatureValuesOperationMetadata struct {

	// Operation metadata for Featurestore import feature values.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// Number of entities that have been imported by the operation.
	ImportedEntityCount int64 `protobuf:"varint,2,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
	// Number of feature values that have been imported by the operation.
	ImportedFeatureValueCount int64 `` /* 141-byte string literal not displayed */
	// The number of rows in input source that weren't imported due to either
	// * Not having any featureValues.
	// * Having a null entityId.
	// * Having a null timestamp.
	// * Not being parsable (applicable for CSV sources).
	InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform import feature values.

func (*ImportFeatureValuesOperationMetadata) Descriptor deprecated 

func (*ImportFeatureValuesOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesOperationMetadata.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesOperationMetadata) GetGenericMetadata 

func (x *ImportFeatureValuesOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*ImportFeatureValuesOperationMetadata) GetImportedEntityCount 

func (x *ImportFeatureValuesOperationMetadata) GetImportedEntityCount() int64

func (*ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount 

func (x *ImportFeatureValuesOperationMetadata) GetImportedFeatureValueCount() int64

func (*ImportFeatureValuesOperationMetadata) GetInvalidRowCount 

func (x *ImportFeatureValuesOperationMetadata) GetInvalidRowCount() int64

func (*ImportFeatureValuesOperationMetadata) ProtoMessage 

func (*ImportFeatureValuesOperationMetadata) ProtoMessage()

func (*ImportFeatureValuesOperationMetadata) ProtoReflect 

func (x *ImportFeatureValuesOperationMetadata) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesOperationMetadata) Reset 

func (x *ImportFeatureValuesOperationMetadata) Reset()

func (*ImportFeatureValuesOperationMetadata) String 

func (x *ImportFeatureValuesOperationMetadata) String() string

type ImportFeatureValuesRequest 

type ImportFeatureValuesRequest struct {

	// Details about the source data, including the location of the storage and
	// the format.
	//
	// Types that are assignable to Source:
	//	*ImportFeatureValuesRequest_AvroSource
	//	*ImportFeatureValuesRequest_BigquerySource
	//	*ImportFeatureValuesRequest_CsvSource
	Source isImportFeatureValuesRequest_Source `protobuf_oneof:"source"`
	// Source of Feature timestamp for all Feature values of each entity.
	// Timestamps must be millisecond-aligned.
	//
	// Types that are assignable to FeatureTimeSource:
	//	*ImportFeatureValuesRequest_FeatureTimeField
	//	*ImportFeatureValuesRequest_FeatureTime
	FeatureTimeSource isImportFeatureValuesRequest_FeatureTimeSource `protobuf_oneof:"feature_time_source"`
	// Required. The resource name of the EntityType grouping the Features for which values
	// are being imported. Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Source column that holds entity IDs. If not provided, entity IDs are
	// extracted from the column named `entity_id`.
	EntityIdField string `protobuf:"bytes,5,opt,name=entity_id_field,json=entityIdField,proto3" json:"entity_id_field,omitempty"`
	// Required. Specifications defining which Feature values to import from the entity. The
	// request fails if no feature_specs are provided, and having multiple
	// feature_specs for one Feature is not allowed.
	FeatureSpecs []*ImportFeatureValuesRequest_FeatureSpec `protobuf:"bytes,8,rep,name=feature_specs,json=featureSpecs,proto3" json:"feature_specs,omitempty"`
	// If set, data will not be imported for online serving. This
	// is typically used for backfilling, where Feature generation timestamps are
	// not in the timestamp range needed for online serving.
	DisableOnlineServing bool `protobuf:"varint,9,opt,name=disable_online_serving,json=disableOnlineServing,proto3" json:"disable_online_serving,omitempty"`
	// Specifies the number of workers that are used to write data to the
	// Featurestore. Consider the online serving capacity that you require to
	// achieve the desired import throughput without interfering with online
	// serving. The value must be positive, and less than or equal to 100.
	// If not set, defaults to using 1 worker. The low count ensures minimal
	// impact on online serving performance.
	WorkerCount int32 `protobuf:"varint,11,opt,name=worker_count,json=workerCount,proto3" json:"worker_count,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].

func (*ImportFeatureValuesRequest) Descriptor deprecated 

func (*ImportFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesRequest) GetAvroSource 

func (x *ImportFeatureValuesRequest) GetAvroSource() *AvroSource

func (*ImportFeatureValuesRequest) GetBigquerySource 

func (x *ImportFeatureValuesRequest) GetBigquerySource() *BigQuerySource

func (*ImportFeatureValuesRequest) GetCsvSource 

func (x *ImportFeatureValuesRequest) GetCsvSource() *CsvSource

func (*ImportFeatureValuesRequest) GetDisableOnlineServing 

func (x *ImportFeatureValuesRequest) GetDisableOnlineServing() bool

func (*ImportFeatureValuesRequest) GetEntityIdField 

func (x *ImportFeatureValuesRequest) GetEntityIdField() string

func (*ImportFeatureValuesRequest) GetEntityType 

func (x *ImportFeatureValuesRequest) GetEntityType() string

func (*ImportFeatureValuesRequest) GetFeatureSpecs 

func (x *ImportFeatureValuesRequest) GetFeatureSpecs() []*ImportFeatureValuesRequest_FeatureSpec

func (*ImportFeatureValuesRequest) GetFeatureTime 

func (x *ImportFeatureValuesRequest) GetFeatureTime() *timestamppb.Timestamp

func (*ImportFeatureValuesRequest) GetFeatureTimeField 

func (x *ImportFeatureValuesRequest) GetFeatureTimeField() string

func (*ImportFeatureValuesRequest) GetFeatureTimeSource 

func (m *ImportFeatureValuesRequest) GetFeatureTimeSource() isImportFeatureValuesRequest_FeatureTimeSource

func (*ImportFeatureValuesRequest) GetSource 

func (m *ImportFeatureValuesRequest) GetSource() isImportFeatureValuesRequest_Source

func (*ImportFeatureValuesRequest) GetWorkerCount 

func (x *ImportFeatureValuesRequest) GetWorkerCount() int32

func (*ImportFeatureValuesRequest) ProtoMessage 

func (*ImportFeatureValuesRequest) ProtoMessage()

func (*ImportFeatureValuesRequest) ProtoReflect 

func (x *ImportFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesRequest) Reset 

func (x *ImportFeatureValuesRequest) Reset()

func (*ImportFeatureValuesRequest) String 

func (x *ImportFeatureValuesRequest) String() string

type ImportFeatureValuesRequest_AvroSource 

type ImportFeatureValuesRequest_AvroSource struct {
	AvroSource *AvroSource `protobuf:"bytes,2,opt,name=avro_source,json=avroSource,proto3,oneof"`
}

type ImportFeatureValuesRequest_BigquerySource 

type ImportFeatureValuesRequest_BigquerySource struct {
	BigquerySource *BigQuerySource `protobuf:"bytes,3,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

type ImportFeatureValuesRequest_CsvSource 

type ImportFeatureValuesRequest_CsvSource struct {
	CsvSource *CsvSource `protobuf:"bytes,4,opt,name=csv_source,json=csvSource,proto3,oneof"`
}

type ImportFeatureValuesRequest_FeatureSpec 

type ImportFeatureValuesRequest_FeatureSpec struct {

	// Required. ID of the Feature to import values of. This Feature must exist in the
	// target EntityType, or the request will fail.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Source column to get the Feature values from. If not set, uses the column
	// with the same name as the Feature ID.
	SourceField string `protobuf:"bytes,2,opt,name=source_field,json=sourceField,proto3" json:"source_field,omitempty"`
	// contains filtered or unexported fields
}

Defines the Feature value(s) to import.

func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor deprecated 

func (*ImportFeatureValuesRequest_FeatureSpec) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesRequest_FeatureSpec.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesRequest_FeatureSpec) GetId 

func (x *ImportFeatureValuesRequest_FeatureSpec) GetId() string

func (*ImportFeatureValuesRequest_FeatureSpec) GetSourceField 

func (x *ImportFeatureValuesRequest_FeatureSpec) GetSourceField() string

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage 

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoMessage()

func (*ImportFeatureValuesRequest_FeatureSpec) ProtoReflect 

func (x *ImportFeatureValuesRequest_FeatureSpec) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesRequest_FeatureSpec) Reset 

func (x *ImportFeatureValuesRequest_FeatureSpec) Reset()

func (*ImportFeatureValuesRequest_FeatureSpec) String 

func (x *ImportFeatureValuesRequest_FeatureSpec) String() string

type ImportFeatureValuesRequest_FeatureTime 

type ImportFeatureValuesRequest_FeatureTime struct {
	// Single Feature timestamp for all entities being imported. The
	// timestamp must not have higher than millisecond precision.
	FeatureTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=feature_time,json=featureTime,proto3,oneof"`
}

type ImportFeatureValuesRequest_FeatureTimeField 

type ImportFeatureValuesRequest_FeatureTimeField struct {
	// Source column that holds the Feature timestamp for all Feature
	// values in each entity.
	FeatureTimeField string `protobuf:"bytes,6,opt,name=feature_time_field,json=featureTimeField,proto3,oneof"`
}

type ImportFeatureValuesResponse 

type ImportFeatureValuesResponse struct {

	// Number of entities that have been imported by the operation.
	ImportedEntityCount int64 `protobuf:"varint,1,opt,name=imported_entity_count,json=importedEntityCount,proto3" json:"imported_entity_count,omitempty"`
	// Number of Feature values that have been imported by the operation.
	ImportedFeatureValueCount int64 `` /* 141-byte string literal not displayed */
	// The number of rows in input source that weren't imported due to either
	// * Not having any featureValues.
	// * Having a null entityId.
	// * Having a null timestamp.
	// * Not being parsable (applicable for CSV sources).
	InvalidRowCount int64 `protobuf:"varint,6,opt,name=invalid_row_count,json=invalidRowCount,proto3" json:"invalid_row_count,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].

func (*ImportFeatureValuesResponse) Descriptor deprecated 

func (*ImportFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ImportFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ImportFeatureValuesResponse) GetImportedEntityCount 

func (x *ImportFeatureValuesResponse) GetImportedEntityCount() int64

func (*ImportFeatureValuesResponse) GetImportedFeatureValueCount 

func (x *ImportFeatureValuesResponse) GetImportedFeatureValueCount() int64

func (*ImportFeatureValuesResponse) GetInvalidRowCount 

func (x *ImportFeatureValuesResponse) GetInvalidRowCount() int64

func (*ImportFeatureValuesResponse) ProtoMessage 

func (*ImportFeatureValuesResponse) ProtoMessage()

func (*ImportFeatureValuesResponse) ProtoReflect 

func (x *ImportFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ImportFeatureValuesResponse) Reset 

func (x *ImportFeatureValuesResponse) Reset()

func (*ImportFeatureValuesResponse) String 

func (x *ImportFeatureValuesResponse) String() string

type Index 

type Index struct {

	// Output only. The resource name of the Index.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the Index.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the Index.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
	// information about the Index, that is specific to it. Unset if the Index
	// does not have any additional information.
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	MetadataSchemaUri string `protobuf:"bytes,4,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
	// An additional information about the Index; the schema of the metadata can
	// be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Index.metadata_schema_uri].
	Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. The pointers to DeployedIndexes created from this Index.
	// An Index can be only deleted if all its DeployedIndexes had been undeployed
	// first.
	DeployedIndexes []*DeployedIndexRef `protobuf:"bytes,7,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,8,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Indexes.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Output only. Timestamp when this Index was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,10,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Index was most recently updated.
	// This also includes any update to the contents of the Index.
	// Note that Operations working on this Index may have their
	// [Operations.metadata.generic_metadata.update_time]
	// [google.cloud.aiplatform.v1beta1.GenericOperationMetadata.update_time] a little after the value of this
	// timestamp, yet that does not mean their results are not already reflected
	// in the Index. Result of any successfully completed Operation on the Index
	// is reflected in it.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// contains filtered or unexported fields
}

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

func (*Index) Descriptor deprecated 

func (*Index) Descriptor() ([]byte, []int)

Deprecated: Use Index.ProtoReflect.Descriptor instead.

func (*Index) GetCreateTime 

func (x *Index) GetCreateTime() *timestamppb.Timestamp

func (*Index) GetDeployedIndexes 

func (x *Index) GetDeployedIndexes() []*DeployedIndexRef

func (*Index) GetDescription 

func (x *Index) GetDescription() string

func (*Index) GetDisplayName 

func (x *Index) GetDisplayName() string

func (*Index) GetEtag 

func (x *Index) GetEtag() string

func (*Index) GetLabels 

func (x *Index) GetLabels() map[string]string

func (*Index) GetMetadata 

func (x *Index) GetMetadata() *structpb.Value

func (*Index) GetMetadataSchemaUri 

func (x *Index) GetMetadataSchemaUri() string

func (*Index) GetName 

func (x *Index) GetName() string

func (*Index) GetUpdateTime 

func (x *Index) GetUpdateTime() *timestamppb.Timestamp

func (*Index) ProtoMessage 

func (*Index) ProtoMessage()

func (*Index) ProtoReflect 

func (x *Index) ProtoReflect() protoreflect.Message

func (*Index) Reset 

func (x *Index) Reset()

func (*Index) String 

func (x *Index) String() string

type IndexEndpoint 

type IndexEndpoint struct {

	// Output only. The resource name of the IndexEndpoint.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the IndexEndpoint.
	// The name can be up to 128 characters long and can consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the IndexEndpoint.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. The indexes deployed in this endpoint.
	DeployedIndexes []*DeployedIndex `protobuf:"bytes,4,rep,name=deployed_indexes,json=deployedIndexes,proto3" json:"deployed_indexes,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,5,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your IndexEndpoints.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Output only. Timestamp when this IndexEndpoint was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this IndexEndpoint was last updated.
	// This timestamp is not updated when the endpoint's DeployedIndexes are
	// updated, e.g. due to updates of the original Indexes they are the
	// deployments of.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Required. Immutable. The full name of the Google Compute Engine
	// [network](https://cloud.google.com/compute/docs/networks-and-firewalls#networks)
	// to which the IndexEndpoint should be peered.
	//
	// Private services access must already be configured for the network. If left
	// unspecified, the Endpoint is not peered with any network.
	//
	// [Format](https://cloud.google.com/compute/docs/reference/rest/v1/networks/insert):
	// projects/{project}/global/networks/{network}.
	// Where {project} is a project number, as in '12345', and {network} is
	// network name.
	Network string `protobuf:"bytes,9,opt,name=network,proto3" json:"network,omitempty"`
	// contains filtered or unexported fields
}

Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.

func (*IndexEndpoint) Descriptor deprecated 

func (*IndexEndpoint) Descriptor() ([]byte, []int)

Deprecated: Use IndexEndpoint.ProtoReflect.Descriptor instead.

func (*IndexEndpoint) GetCreateTime 

func (x *IndexEndpoint) GetCreateTime() *timestamppb.Timestamp

func (*IndexEndpoint) GetDeployedIndexes 

func (x *IndexEndpoint) GetDeployedIndexes() []*DeployedIndex

func (*IndexEndpoint) GetDescription 

func (x *IndexEndpoint) GetDescription() string

func (*IndexEndpoint) GetDisplayName 

func (x *IndexEndpoint) GetDisplayName() string

func (*IndexEndpoint) GetEtag 

func (x *IndexEndpoint) GetEtag() string

func (*IndexEndpoint) GetLabels 

func (x *IndexEndpoint) GetLabels() map[string]string

func (*IndexEndpoint) GetName 

func (x *IndexEndpoint) GetName() string

func (*IndexEndpoint) GetNetwork 

func (x *IndexEndpoint) GetNetwork() string

func (*IndexEndpoint) GetUpdateTime 

func (x *IndexEndpoint) GetUpdateTime() *timestamppb.Timestamp

func (*IndexEndpoint) ProtoMessage 

func (*IndexEndpoint) ProtoMessage()

func (*IndexEndpoint) ProtoReflect 

func (x *IndexEndpoint) ProtoReflect() protoreflect.Message

func (*IndexEndpoint) Reset 

func (x *IndexEndpoint) Reset()

func (*IndexEndpoint) String 

func (x *IndexEndpoint) String() string

type IndexEndpointServiceClient 

type IndexEndpointServiceClient interface {
	// Creates an IndexEndpoint.
	CreateIndexEndpoint(ctx context.Context, in *CreateIndexEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets an IndexEndpoint.
	GetIndexEndpoint(ctx context.Context, in *GetIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
	// Lists IndexEndpoints in a Location.
	ListIndexEndpoints(ctx context.Context, in *ListIndexEndpointsRequest, opts ...grpc.CallOption) (*ListIndexEndpointsResponse, error)
	// Updates an IndexEndpoint.
	UpdateIndexEndpoint(ctx context.Context, in *UpdateIndexEndpointRequest, opts ...grpc.CallOption) (*IndexEndpoint, error)
	// Deletes an IndexEndpoint.
	DeleteIndexEndpoint(ctx context.Context, in *DeleteIndexEndpointRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
	// it.
	// Only non-empty Indexes can be deployed.
	DeployIndex(ctx context.Context, in *DeployIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
	// and freeing all resources it's using.
	UndeployIndex(ctx context.Context, in *UndeployIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}

IndexEndpointServiceClient is the client API for IndexEndpointService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewIndexEndpointServiceClient 

func NewIndexEndpointServiceClient(cc grpc.ClientConnInterface) IndexEndpointServiceClient

type IndexEndpointServiceServer 

type IndexEndpointServiceServer interface {
	// Creates an IndexEndpoint.
	CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunning.Operation, error)
	// Gets an IndexEndpoint.
	GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)
	// Lists IndexEndpoints in a Location.
	ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)
	// Updates an IndexEndpoint.
	UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)
	// Deletes an IndexEndpoint.
	DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunning.Operation, error)
	// Deploys an Index into this IndexEndpoint, creating a DeployedIndex within
	// it.
	// Only non-empty Indexes can be deployed.
	DeployIndex(context.Context, *DeployIndexRequest) (*longrunning.Operation, error)
	// Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it,
	// and freeing all resources it's using.
	UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunning.Operation, error)
}

IndexEndpointServiceServer is the server API for IndexEndpointService service.

type IndexPrivateEndpoints 

type IndexPrivateEndpoints struct {

	// Output only. The ip address used to send match gRPC requests.
	MatchGrpcAddress string `protobuf:"bytes,1,opt,name=match_grpc_address,json=matchGrpcAddress,proto3" json:"match_grpc_address,omitempty"`
	// contains filtered or unexported fields
}

IndexPrivateEndpoints proto is used to provide paths for users to send requests via private services access.

func (*IndexPrivateEndpoints) Descriptor deprecated 

func (*IndexPrivateEndpoints) Descriptor() ([]byte, []int)

Deprecated: Use IndexPrivateEndpoints.ProtoReflect.Descriptor instead.

func (*IndexPrivateEndpoints) GetMatchGrpcAddress 

func (x *IndexPrivateEndpoints) GetMatchGrpcAddress() string

func (*IndexPrivateEndpoints) ProtoMessage 

func (*IndexPrivateEndpoints) ProtoMessage()

func (*IndexPrivateEndpoints) ProtoReflect 

func (x *IndexPrivateEndpoints) ProtoReflect() protoreflect.Message

func (*IndexPrivateEndpoints) Reset 

func (x *IndexPrivateEndpoints) Reset()

func (*IndexPrivateEndpoints) String 

func (x *IndexPrivateEndpoints) String() string

type IndexServiceClient 

type IndexServiceClient interface {
	// Creates an Index.
	CreateIndex(ctx context.Context, in *CreateIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets an Index.
	GetIndex(ctx context.Context, in *GetIndexRequest, opts ...grpc.CallOption) (*Index, error)
	// Lists Indexes in a Location.
	ListIndexes(ctx context.Context, in *ListIndexesRequest, opts ...grpc.CallOption) (*ListIndexesResponse, error)
	// Updates an Index.
	UpdateIndex(ctx context.Context, in *UpdateIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deletes an Index.
	// An Index can only be deleted when all its
	// [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes] had been undeployed.
	DeleteIndex(ctx context.Context, in *DeleteIndexRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}

IndexServiceClient is the client API for IndexService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewIndexServiceClient 

func NewIndexServiceClient(cc grpc.ClientConnInterface) IndexServiceClient

type IndexServiceServer 

type IndexServiceServer interface {
	// Creates an Index.
	CreateIndex(context.Context, *CreateIndexRequest) (*longrunning.Operation, error)
	// Gets an Index.
	GetIndex(context.Context, *GetIndexRequest) (*Index, error)
	// Lists Indexes in a Location.
	ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)
	// Updates an Index.
	UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunning.Operation, error)
	// Deletes an Index.
	// An Index can only be deleted when all its
	// [DeployedIndexes][google.cloud.aiplatform.v1beta1.Index.deployed_indexes] had been undeployed.
	DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunning.Operation, error)
}

IndexServiceServer is the server API for IndexService service.

type InputDataConfig 

type InputDataConfig struct {

	// The instructions how the input data should be split between the
	// training, validation and test sets.
	// If no split type is provided, the [fraction_split][google.cloud.aiplatform.v1beta1.InputDataConfig.fraction_split] is used by default.
	//
	// Types that are assignable to Split:
	//	*InputDataConfig_FractionSplit
	//	*InputDataConfig_FilterSplit
	//	*InputDataConfig_PredefinedSplit
	//	*InputDataConfig_TimestampSplit
	Split isInputDataConfig_Split `protobuf_oneof:"split"`
	// Only applicable to Custom and Hyperparameter Tuning TrainingPipelines.
	//
	// The destination of the training data to be written to.
	//
	// Supported destination file formats:
	//   * For non-tabular data: "jsonl".
	//   * For tabular data: "csv" and "bigquery".
	//
	// The following Vertex AI environment variables are passed to containers
	// or python modules of the training task when this field is set:
	//
	// * AIP_DATA_FORMAT : Exported data format.
	// * AIP_TRAINING_DATA_URI : Sharded exported training data uris.
	// * AIP_VALIDATION_DATA_URI : Sharded exported validation data uris.
	// * AIP_TEST_DATA_URI : Sharded exported test data uris.
	//
	// Types that are assignable to Destination:
	//	*InputDataConfig_GcsDestination
	//	*InputDataConfig_BigqueryDestination
	Destination isInputDataConfig_Destination `protobuf_oneof:"destination"`
	// Required. The ID of the Dataset in the same Project and Location which data will be
	// used to train the Model. The Dataset must use schema compatible with
	// Model being trained, and what is compatible should be described in the
	// used TrainingPipeline's [training_task_definition]
	// [google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition].
	// For tabular Datasets, all their data is exported to training, to pick
	// and choose from.
	DatasetId string `protobuf:"bytes,1,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`
	// Applicable only to Datasets that have DataItems and Annotations.
	//
	// A filter on Annotations of the Dataset. Only Annotations that both
	// match this filter and belong to DataItems not ignored by the split method
	// are used in respectively training, validation or test role, depending on
	// the role of the DataItem they are on (for the auto-assigned that role is
	// decided by Vertex AI). A filter with same syntax as the one used in
	// [ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations] may be used, but note
	// here it filters across all Annotations of the Dataset, and not just within
	// a single DataItem.
	AnnotationsFilter string `protobuf:"bytes,6,opt,name=annotations_filter,json=annotationsFilter,proto3" json:"annotations_filter,omitempty"`
	// Applicable only to custom training with Datasets that have DataItems and
	// Annotations.
	//
	// Cloud Storage URI that points to a YAML file describing the annotation
	// schema. The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// The schema files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
	// chosen schema must be consistent with
	// [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
	// [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
	//
	// Only Annotations that both match this schema and belong to DataItems not
	// ignored by the split method are used in respectively training, validation
	// or test role, depending on the role of the DataItem they are on.
	//
	// When used in conjunction with [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter], the Annotations used
	// for training are filtered by both [annotations_filter][google.cloud.aiplatform.v1beta1.InputDataConfig.annotations_filter] and
	// [annotation_schema_uri][google.cloud.aiplatform.v1beta1.InputDataConfig.annotation_schema_uri].
	AnnotationSchemaUri string `protobuf:"bytes,9,opt,name=annotation_schema_uri,json=annotationSchemaUri,proto3" json:"annotation_schema_uri,omitempty"`
	// contains filtered or unexported fields
}

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.

func (*InputDataConfig) Descriptor deprecated 

func (*InputDataConfig) Descriptor() ([]byte, []int)

Deprecated: Use InputDataConfig.ProtoReflect.Descriptor instead.

func (*InputDataConfig) GetAnnotationSchemaUri 

func (x *InputDataConfig) GetAnnotationSchemaUri() string

func (*InputDataConfig) GetAnnotationsFilter 

func (x *InputDataConfig) GetAnnotationsFilter() string

func (*InputDataConfig) GetBigqueryDestination 

func (x *InputDataConfig) GetBigqueryDestination() *BigQueryDestination

func (*InputDataConfig) GetDatasetId 

func (x *InputDataConfig) GetDatasetId() string

func (*InputDataConfig) GetDestination 

func (m *InputDataConfig) GetDestination() isInputDataConfig_Destination

func (*InputDataConfig) GetFilterSplit 

func (x *InputDataConfig) GetFilterSplit() *FilterSplit

func (*InputDataConfig) GetFractionSplit 

func (x *InputDataConfig) GetFractionSplit() *FractionSplit

func (*InputDataConfig) GetGcsDestination 

func (x *InputDataConfig) GetGcsDestination() *GcsDestination

func (*InputDataConfig) GetPredefinedSplit 

func (x *InputDataConfig) GetPredefinedSplit() *PredefinedSplit

func (*InputDataConfig) GetSplit 

func (m *InputDataConfig) GetSplit() isInputDataConfig_Split

func (*InputDataConfig) GetTimestampSplit 

func (x *InputDataConfig) GetTimestampSplit() *TimestampSplit

func (*InputDataConfig) ProtoMessage 

func (*InputDataConfig) ProtoMessage()

func (*InputDataConfig) ProtoReflect 

func (x *InputDataConfig) ProtoReflect() protoreflect.Message

func (*InputDataConfig) Reset 

func (x *InputDataConfig) Reset()

func (*InputDataConfig) String 

func (x *InputDataConfig) String() string

type InputDataConfig_BigqueryDestination 

type InputDataConfig_BigqueryDestination struct {
	// Only applicable to custom training with tabular Dataset with BigQuery
	// source.
	//
	// The BigQuery project location where the training data is to be written
	// to. In the given project a new dataset is created with name
	// `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
	// where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
	// input data is written into that dataset. In the dataset three
	// tables are created, `training`, `validation` and `test`.
	//
	// * AIP_DATA_FORMAT = "bigquery".
	// * AIP_TRAINING_DATA_URI  =
	// "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
	//
	// * AIP_VALIDATION_DATA_URI =
	// "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
	//
	// * AIP_TEST_DATA_URI =
	// "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
	BigqueryDestination *BigQueryDestination `protobuf:"bytes,10,opt,name=bigquery_destination,json=bigqueryDestination,proto3,oneof"`
}

type InputDataConfig_FilterSplit 

type InputDataConfig_FilterSplit struct {
	// Split based on the provided filters for each set.
	FilterSplit *FilterSplit `protobuf:"bytes,3,opt,name=filter_split,json=filterSplit,proto3,oneof"`
}

type InputDataConfig_FractionSplit 

type InputDataConfig_FractionSplit struct {
	// Split based on fractions defining the size of each set.
	FractionSplit *FractionSplit `protobuf:"bytes,2,opt,name=fraction_split,json=fractionSplit,proto3,oneof"`
}

type InputDataConfig_GcsDestination 

type InputDataConfig_GcsDestination struct {
	// The Cloud Storage location where the training data is to be
	// written to. In the given directory a new directory is created with
	// name:
	// `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
	// where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
	// All training input data is written into that directory.
	//
	// The Vertex AI environment variables representing Cloud Storage
	// data URIs are represented in the Cloud Storage wildcard
	// format to support sharded data. e.g.: "gs://.../training-*.jsonl"
	//
	// * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
	// * AIP_TRAINING_DATA_URI =
	// "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
	//
	// * AIP_VALIDATION_DATA_URI =
	// "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
	//
	// * AIP_TEST_DATA_URI =
	// "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
	GcsDestination *GcsDestination `protobuf:"bytes,8,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
}

type InputDataConfig_PredefinedSplit 

type InputDataConfig_PredefinedSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on a predefined key.
	PredefinedSplit *PredefinedSplit `protobuf:"bytes,4,opt,name=predefined_split,json=predefinedSplit,proto3,oneof"`
}

type InputDataConfig_TimestampSplit 

type InputDataConfig_TimestampSplit struct {
	// Supported only for tabular Datasets.
	//
	// Split based on the timestamp of the input data pieces.
	TimestampSplit *TimestampSplit `protobuf:"bytes,5,opt,name=timestamp_split,json=timestampSplit,proto3,oneof"`
}

type Int64Array 

type Int64Array struct {

	// A list of int64 values.
	Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of int64 values.

func (*Int64Array) Descriptor deprecated 

func (*Int64Array) Descriptor() ([]byte, []int)

Deprecated: Use Int64Array.ProtoReflect.Descriptor instead.

func (*Int64Array) GetValues 

func (x *Int64Array) GetValues() []int64

func (*Int64Array) ProtoMessage 

func (*Int64Array) ProtoMessage()

func (*Int64Array) ProtoReflect 

func (x *Int64Array) ProtoReflect() protoreflect.Message

func (*Int64Array) Reset 

func (x *Int64Array) Reset()

func (*Int64Array) String 

func (x *Int64Array) String() string

type IntegratedGradientsAttribution 

type IntegratedGradientsAttribution struct {

	// Required. The number of steps for approximating the path integral.
	// A good value to start is 50 and gradually increase until the
	// sum to diff property is within the desired error range.
	//
	// Valid range of its value is [1, 100], inclusively.
	StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Config for SmoothGrad approximation of gradients.
	//
	// When enabled, the gradients are approximated by averaging the gradients
	// from noisy samples in the vicinity of the inputs. Adding
	// noise can help improve the computed gradients. Refer to this paper for more
	// details: https://arxiv.org/pdf/1706.03825.pdf
	SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
	// contains filtered or unexported fields
}

An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

func (*IntegratedGradientsAttribution) Descriptor deprecated 

func (*IntegratedGradientsAttribution) Descriptor() ([]byte, []int)

Deprecated: Use IntegratedGradientsAttribution.ProtoReflect.Descriptor instead.

func (*IntegratedGradientsAttribution) GetSmoothGradConfig 

func (x *IntegratedGradientsAttribution) GetSmoothGradConfig() *SmoothGradConfig

func (*IntegratedGradientsAttribution) GetStepCount 

func (x *IntegratedGradientsAttribution) GetStepCount() int32

func (*IntegratedGradientsAttribution) ProtoMessage 

func (*IntegratedGradientsAttribution) ProtoMessage()

func (*IntegratedGradientsAttribution) ProtoReflect 

func (x *IntegratedGradientsAttribution) ProtoReflect() protoreflect.Message

func (*IntegratedGradientsAttribution) Reset 

func (x *IntegratedGradientsAttribution) Reset()

func (*IntegratedGradientsAttribution) String 

func (x *IntegratedGradientsAttribution) String() string

type JobServiceClient 

type JobServiceClient interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(ctx context.Context, in *CreateCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(ctx context.Context, in *GetCustomJobRequest, opts ...grpc.CallOption) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(ctx context.Context, in *ListCustomJobsRequest, opts ...grpc.CallOption) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(ctx context.Context, in *DeleteCustomJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(ctx context.Context, in *CancelCustomJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(ctx context.Context, in *CreateDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(ctx context.Context, in *GetDataLabelingJobRequest, opts ...grpc.CallOption) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(ctx context.Context, in *ListDataLabelingJobsRequest, opts ...grpc.CallOption) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(ctx context.Context, in *DeleteDataLabelingJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(ctx context.Context, in *CancelDataLabelingJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(ctx context.Context, in *CreateHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(ctx context.Context, in *GetHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(ctx context.Context, in *ListHyperparameterTuningJobsRequest, opts ...grpc.CallOption) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(ctx context.Context, in *DeleteHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
	// of 1, corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] is set to `CANCELLED`.
	CancelHyperparameterTuningJob(ctx context.Context, in *CancelHyperparameterTuningJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(ctx context.Context, in *CreateBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(ctx context.Context, in *GetBatchPredictionJobRequest, opts ...grpc.CallOption) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(ctx context.Context, in *ListBatchPredictionJobsRequest, opts ...grpc.CallOption) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(ctx context.Context, in *DeleteBatchPredictionJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
	// outputted by the job are not deleted.
	CancelBatchPredictionJob(ctx context.Context, in *CancelBatchPredictionJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(ctx context.Context, in *CreateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(ctx context.Context, in *SearchModelDeploymentMonitoringStatsAnomaliesRequest, opts ...grpc.CallOption) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(ctx context.Context, in *GetModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(ctx context.Context, in *ListModelDeploymentMonitoringJobsRequest, opts ...grpc.CallOption) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(ctx context.Context, in *UpdateModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(ctx context.Context, in *DeleteModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(ctx context.Context, in *PauseModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(ctx context.Context, in *ResumeModelDeploymentMonitoringJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}

JobServiceClient is the client API for JobService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewJobServiceClient 

func NewJobServiceClient(cc grpc.ClientConnInterface) JobServiceClient

type JobServiceServer 

type JobServiceServer interface {
	// Creates a CustomJob. A created CustomJob right away
	// will be attempted to be run.
	CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)
	// Gets a CustomJob.
	GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)
	// Lists CustomJobs in a Location.
	ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)
	// Deletes a CustomJob.
	DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunning.Operation, error)
	// Cancels a CustomJob.
	// Starts asynchronous cancellation on the CustomJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the CustomJob is not deleted; instead it becomes a job with
	// a [CustomJob.error][google.cloud.aiplatform.v1beta1.CustomJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [CustomJob.state][google.cloud.aiplatform.v1beta1.CustomJob.state] is set to
	// `CANCELLED`.
	CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)
	// Creates a DataLabelingJob.
	CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)
	// Gets a DataLabelingJob.
	GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)
	// Lists DataLabelingJobs in a Location.
	ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)
	// Deletes a DataLabelingJob.
	DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunning.Operation, error)
	// Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
	CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)
	// Creates a HyperparameterTuningJob
	CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Gets a HyperparameterTuningJob
	GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)
	// Lists HyperparameterTuningJobs in a Location.
	ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)
	// Deletes a HyperparameterTuningJob.
	DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunning.Operation, error)
	// Cancels a HyperparameterTuningJob.
	// Starts asynchronous cancellation on the HyperparameterTuningJob. The server
	// makes a best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On successful cancellation,
	// the HyperparameterTuningJob is not deleted; instead it becomes a job with
	// a [HyperparameterTuningJob.error][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code]
	// of 1, corresponding to `Code.CANCELLED`, and
	// [HyperparameterTuningJob.state][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.state] is set to `CANCELLED`.
	CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)
	// Creates a BatchPredictionJob. A BatchPredictionJob once created will
	// right away be attempted to start.
	CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Gets a BatchPredictionJob
	GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)
	// Lists BatchPredictionJobs in a Location.
	ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)
	// Deletes a BatchPredictionJob. Can only be called on jobs that already
	// finished.
	DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunning.Operation, error)
	// Cancels a BatchPredictionJob.
	//
	// Starts asynchronous cancellation on the BatchPredictionJob. The server
	// makes the best effort to cancel the job, but success is not
	// guaranteed. Clients can use [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// job completed despite cancellation. On a successful cancellation,
	// the BatchPredictionJob is not deleted;instead its
	// [BatchPredictionJob.state][google.cloud.aiplatform.v1beta1.BatchPredictionJob.state] is set to `CANCELLED`. Any files already
	// outputted by the job are not deleted.
	CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)
	// Creates a ModelDeploymentMonitoringJob. It will run periodically on a
	// configured interval.
	CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Searches Model Monitoring Statistics generated within a given time window.
	SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)
	// Gets a ModelDeploymentMonitoringJob.
	GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)
	// Lists ModelDeploymentMonitoringJobs in a Location.
	ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)
	// Updates a ModelDeploymentMonitoringJob.
	UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
	// Deletes a ModelDeploymentMonitoringJob.
	DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)
	// Pauses a ModelDeploymentMonitoringJob. If the job is running, the server
	// makes a best effort to cancel the job. Will mark
	// [ModelDeploymentMonitoringJob.state][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.state] to 'PAUSED'.
	PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
	// Resumes a paused ModelDeploymentMonitoringJob. It will start to run from
	// next scheduled time. A deleted ModelDeploymentMonitoringJob can't be
	// resumed.
	ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)
}

JobServiceServer is the server API for JobService service.

type JobState 

type JobState int32

Describes the state of a job. 

const (
	// The job state is unspecified.
	JobState_JOB_STATE_UNSPECIFIED JobState = 0
	// The job has been just created or resumed and processing has not yet begun.
	JobState_JOB_STATE_QUEUED JobState = 1
	// The service is preparing to run the job.
	JobState_JOB_STATE_PENDING JobState = 2
	// The job is in progress.
	JobState_JOB_STATE_RUNNING JobState = 3
	// The job completed successfully.
	JobState_JOB_STATE_SUCCEEDED JobState = 4
	// The job failed.
	JobState_JOB_STATE_FAILED JobState = 5
	// The job is being cancelled. From this state the job may only go to
	// either `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED` or `JOB_STATE_CANCELLED`.
	JobState_JOB_STATE_CANCELLING JobState = 6
	// The job has been cancelled.
	JobState_JOB_STATE_CANCELLED JobState = 7
	// The job has been stopped, and can be resumed.
	JobState_JOB_STATE_PAUSED JobState = 8
	// The job has expired.
	JobState_JOB_STATE_EXPIRED JobState = 9
)

func (JobState) Descriptor 

func (JobState) Descriptor() protoreflect.EnumDescriptor

func (JobState) Enum 

func (x JobState) Enum() *JobState

func (JobState) EnumDescriptor deprecated 

func (JobState) EnumDescriptor() ([]byte, []int)

Deprecated: Use JobState.Descriptor instead.

func (JobState) Number 

func (x JobState) Number() protoreflect.EnumNumber

func (JobState) String 

func (x JobState) String() string

func (JobState) Type 

func (JobState) Type() protoreflect.EnumType

type LineageSubgraph 

type LineageSubgraph struct {

	// The Artifact nodes in the subgraph.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// The Execution nodes in the subgraph.
	Executions []*Execution `protobuf:"bytes,2,rep,name=executions,proto3" json:"executions,omitempty"`
	// The Event edges between Artifacts and Executions in the subgraph.
	Events []*Event `protobuf:"bytes,3,rep,name=events,proto3" json:"events,omitempty"`
	// contains filtered or unexported fields
}

A subgraph of the overall lineage graph. Event edges connect Artifact and Execution nodes.

func (*LineageSubgraph) Descriptor deprecated 

func (*LineageSubgraph) Descriptor() ([]byte, []int)

Deprecated: Use LineageSubgraph.ProtoReflect.Descriptor instead.

func (*LineageSubgraph) GetArtifacts 

func (x *LineageSubgraph) GetArtifacts() []*Artifact

func (*LineageSubgraph) GetEvents 

func (x *LineageSubgraph) GetEvents() []*Event

func (*LineageSubgraph) GetExecutions 

func (x *LineageSubgraph) GetExecutions() []*Execution

func (*LineageSubgraph) ProtoMessage 

func (*LineageSubgraph) ProtoMessage()

func (*LineageSubgraph) ProtoReflect 

func (x *LineageSubgraph) ProtoReflect() protoreflect.Message

func (*LineageSubgraph) Reset 

func (x *LineageSubgraph) Reset()

func (*LineageSubgraph) String 

func (x *LineageSubgraph) String() string

type ListAnnotationsRequest 

type ListAnnotationsRequest struct {

	// Required. The resource name of the DataItem to list Annotations from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].

func (*ListAnnotationsRequest) Descriptor deprecated 

func (*ListAnnotationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListAnnotationsRequest.ProtoReflect.Descriptor instead.

func (*ListAnnotationsRequest) GetFilter 

func (x *ListAnnotationsRequest) GetFilter() string

func (*ListAnnotationsRequest) GetOrderBy 

func (x *ListAnnotationsRequest) GetOrderBy() string

func (*ListAnnotationsRequest) GetPageSize 

func (x *ListAnnotationsRequest) GetPageSize() int32

func (*ListAnnotationsRequest) GetPageToken 

func (x *ListAnnotationsRequest) GetPageToken() string

func (*ListAnnotationsRequest) GetParent 

func (x *ListAnnotationsRequest) GetParent() string

func (*ListAnnotationsRequest) GetReadMask 

func (x *ListAnnotationsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListAnnotationsRequest) ProtoMessage 

func (*ListAnnotationsRequest) ProtoMessage()

func (*ListAnnotationsRequest) ProtoReflect 

func (x *ListAnnotationsRequest) ProtoReflect() protoreflect.Message

func (*ListAnnotationsRequest) Reset 

func (x *ListAnnotationsRequest) Reset()

func (*ListAnnotationsRequest) String 

func (x *ListAnnotationsRequest) String() string

type ListAnnotationsResponse 

type ListAnnotationsResponse struct {

	// A list of Annotations that matches the specified filter in the request.
	Annotations []*Annotation `protobuf:"bytes,1,rep,name=annotations,proto3" json:"annotations,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].

func (*ListAnnotationsResponse) Descriptor deprecated 

func (*ListAnnotationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListAnnotationsResponse.ProtoReflect.Descriptor instead.

func (*ListAnnotationsResponse) GetAnnotations 

func (x *ListAnnotationsResponse) GetAnnotations() []*Annotation

func (*ListAnnotationsResponse) GetNextPageToken 

func (x *ListAnnotationsResponse) GetNextPageToken() string

func (*ListAnnotationsResponse) ProtoMessage 

func (*ListAnnotationsResponse) ProtoMessage()

func (*ListAnnotationsResponse) ProtoReflect 

func (x *ListAnnotationsResponse) ProtoReflect() protoreflect.Message

func (*ListAnnotationsResponse) Reset 

func (x *ListAnnotationsResponse) Reset()

func (*ListAnnotationsResponse) String 

func (x *ListAnnotationsResponse) String() string

type ListArtifactsRequest 

type ListArtifactsRequest struct {

	// Required. The MetadataStore whose Artifacts should be listed.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Artifacts to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Artifacts to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// The supported set of filters include the following:
	//
	// *   **Attribute filtering**:
	//     For example: `display_name = "test"`.
	//     Supported fields include: `name`, `display_name`, `uri`, `state`,
	//     `schema_title`, `create_time`, and `update_time`.
	//     Time fields, such as `create_time` and `update_time`, require values
	//     specified in RFC-3339 format.
	//     For example: `create_time = "2020-11-19T11:30:00-04:00"`
	// *   **Metadata field**:
	//     To filter on metadata fields use traversal operation as follows:
	//     `metadata.<field_name>.<type_value>`.
	//     For example: `metadata.field_1.number_value = 10.0`
	// *   **Context based filtering**:
	//     To filter Artifacts based on the contexts to which they belong, use the
	//     function operator with the full resource name
	//     `in_context(<context-name>)`.
	//     For example:
	//     `in_context("projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context-id>")`
	//
	// Each of the above supported filter types can be combined together using
	// logical operators (`AND` & `OR`).
	//
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].

func (*ListArtifactsRequest) Descriptor deprecated 

func (*ListArtifactsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListArtifactsRequest.ProtoReflect.Descriptor instead.

func (*ListArtifactsRequest) GetFilter 

func (x *ListArtifactsRequest) GetFilter() string

func (*ListArtifactsRequest) GetPageSize 

func (x *ListArtifactsRequest) GetPageSize() int32

func (*ListArtifactsRequest) GetPageToken 

func (x *ListArtifactsRequest) GetPageToken() string

func (*ListArtifactsRequest) GetParent 

func (x *ListArtifactsRequest) GetParent() string

func (*ListArtifactsRequest) ProtoMessage 

func (*ListArtifactsRequest) ProtoMessage()

func (*ListArtifactsRequest) ProtoReflect 

func (x *ListArtifactsRequest) ProtoReflect() protoreflect.Message

func (*ListArtifactsRequest) Reset 

func (x *ListArtifactsRequest) Reset()

func (*ListArtifactsRequest) String 

func (x *ListArtifactsRequest) String() string

type ListArtifactsResponse 

type ListArtifactsResponse struct {

	// The Artifacts retrieved from the MetadataStore.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// A token, which can be sent as [ListArtifactsRequest.page_token][google.cloud.aiplatform.v1beta1.ListArtifactsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].

func (*ListArtifactsResponse) Descriptor deprecated 

func (*ListArtifactsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListArtifactsResponse.ProtoReflect.Descriptor instead.

func (*ListArtifactsResponse) GetArtifacts 

func (x *ListArtifactsResponse) GetArtifacts() []*Artifact

func (*ListArtifactsResponse) GetNextPageToken 

func (x *ListArtifactsResponse) GetNextPageToken() string

func (*ListArtifactsResponse) ProtoMessage 

func (*ListArtifactsResponse) ProtoMessage()

func (*ListArtifactsResponse) ProtoReflect 

func (x *ListArtifactsResponse) ProtoReflect() protoreflect.Message

func (*ListArtifactsResponse) Reset 

func (x *ListArtifactsResponse) Reset()

func (*ListArtifactsResponse) String 

func (x *ListArtifactsResponse) String() string

type ListBatchPredictionJobsRequest 

type ListBatchPredictionJobsRequest struct {

	// Required. The resource name of the Location to list the BatchPredictionJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	//   * `model_display_name` supports = and !=
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListBatchPredictionJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsResponse.next_page_token] of the previous
	// [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].

func (*ListBatchPredictionJobsRequest) Descriptor deprecated 

func (*ListBatchPredictionJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListBatchPredictionJobsRequest.ProtoReflect.Descriptor instead.

func (*ListBatchPredictionJobsRequest) GetFilter 

func (x *ListBatchPredictionJobsRequest) GetFilter() string

func (*ListBatchPredictionJobsRequest) GetPageSize 

func (x *ListBatchPredictionJobsRequest) GetPageSize() int32

func (*ListBatchPredictionJobsRequest) GetPageToken 

func (x *ListBatchPredictionJobsRequest) GetPageToken() string

func (*ListBatchPredictionJobsRequest) GetParent 

func (x *ListBatchPredictionJobsRequest) GetParent() string

func (*ListBatchPredictionJobsRequest) GetReadMask 

func (x *ListBatchPredictionJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListBatchPredictionJobsRequest) ProtoMessage 

func (*ListBatchPredictionJobsRequest) ProtoMessage()

func (*ListBatchPredictionJobsRequest) ProtoReflect 

func (x *ListBatchPredictionJobsRequest) ProtoReflect() protoreflect.Message

func (*ListBatchPredictionJobsRequest) Reset 

func (x *ListBatchPredictionJobsRequest) Reset()

func (*ListBatchPredictionJobsRequest) String 

func (x *ListBatchPredictionJobsRequest) String() string

type ListBatchPredictionJobsResponse 

type ListBatchPredictionJobsResponse struct {

	// List of BatchPredictionJobs in the requested page.
	BatchPredictionJobs []*BatchPredictionJob `protobuf:"bytes,1,rep,name=batch_prediction_jobs,json=batchPredictionJobs,proto3" json:"batch_prediction_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListBatchPredictionJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListBatchPredictionJobsRequest.page_token] to obtain that
	// page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]

func (*ListBatchPredictionJobsResponse) Descriptor deprecated 

func (*ListBatchPredictionJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListBatchPredictionJobsResponse.ProtoReflect.Descriptor instead.

func (*ListBatchPredictionJobsResponse) GetBatchPredictionJobs 

func (x *ListBatchPredictionJobsResponse) GetBatchPredictionJobs() []*BatchPredictionJob

func (*ListBatchPredictionJobsResponse) GetNextPageToken 

func (x *ListBatchPredictionJobsResponse) GetNextPageToken() string

func (*ListBatchPredictionJobsResponse) ProtoMessage 

func (*ListBatchPredictionJobsResponse) ProtoMessage()

func (*ListBatchPredictionJobsResponse) ProtoReflect 

func (x *ListBatchPredictionJobsResponse) ProtoReflect() protoreflect.Message

func (*ListBatchPredictionJobsResponse) Reset 

func (x *ListBatchPredictionJobsResponse) Reset()

func (*ListBatchPredictionJobsResponse) String 

func (x *ListBatchPredictionJobsResponse) String() string

type ListContextsRequest 

type ListContextsRequest struct {

	// Required. The MetadataStore whose Contexts should be listed.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Contexts to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Contexts to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// Following are the supported set of filters:
	//
	// *  **Attribute filtering**:
	//    For example: `display_name = "test"`.
	//    Supported fields include: `name`, `display_name`, `schema_title`,
	//    `create_time`, and `update_time`.
	//    Time fields, such as `create_time` and `update_time`, require values
	//    specified in RFC-3339 format.
	//    For example: `create_time = "2020-11-19T11:30:00-04:00"`.
	// *  **Metadata field**:
	//    To filter on metadata fields use traversal operation as follows:
	//    `metadata.<field_name>.<type_value>`.
	//    For example: `metadata.field_1.number_value = 10.0`.
	// *  **Parent Child filtering**:
	//    To filter Contexts based on parent-child relationship use the HAS
	//    operator as follows:
	//
	//    “`
	//    parent_contexts:
	//    "projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context_id>"
	//    child_contexts:
	//    "projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context_id>"
	//    “`
	//
	// Each of the above supported filters can be combined together using
	// logical operators (`AND` & `OR`).
	//
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]

func (*ListContextsRequest) Descriptor deprecated 

func (*ListContextsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListContextsRequest.ProtoReflect.Descriptor instead.

func (*ListContextsRequest) GetFilter 

func (x *ListContextsRequest) GetFilter() string

func (*ListContextsRequest) GetPageSize 

func (x *ListContextsRequest) GetPageSize() int32

func (*ListContextsRequest) GetPageToken 

func (x *ListContextsRequest) GetPageToken() string

func (*ListContextsRequest) GetParent 

func (x *ListContextsRequest) GetParent() string

func (*ListContextsRequest) ProtoMessage 

func (*ListContextsRequest) ProtoMessage()

func (*ListContextsRequest) ProtoReflect 

func (x *ListContextsRequest) ProtoReflect() protoreflect.Message

func (*ListContextsRequest) Reset 

func (x *ListContextsRequest) Reset()

func (*ListContextsRequest) String 

func (x *ListContextsRequest) String() string

type ListContextsResponse 

type ListContextsResponse struct {

	// The Contexts retrieved from the MetadataStore.
	Contexts []*Context `protobuf:"bytes,1,rep,name=contexts,proto3" json:"contexts,omitempty"`
	// A token, which can be sent as [ListContextsRequest.page_token][google.cloud.aiplatform.v1beta1.ListContextsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].

func (*ListContextsResponse) Descriptor deprecated 

func (*ListContextsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListContextsResponse.ProtoReflect.Descriptor instead.

func (*ListContextsResponse) GetContexts 

func (x *ListContextsResponse) GetContexts() []*Context

func (*ListContextsResponse) GetNextPageToken 

func (x *ListContextsResponse) GetNextPageToken() string

func (*ListContextsResponse) ProtoMessage 

func (*ListContextsResponse) ProtoMessage()

func (*ListContextsResponse) ProtoReflect 

func (x *ListContextsResponse) ProtoReflect() protoreflect.Message

func (*ListContextsResponse) Reset 

func (x *ListContextsResponse) Reset()

func (*ListContextsResponse) String 

func (x *ListContextsResponse) String() string

type ListCustomJobsRequest 

type ListCustomJobsRequest struct {

	// Required. The resource name of the Location to list the CustomJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListCustomJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsResponse.next_page_token] of the previous
	// [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].

func (*ListCustomJobsRequest) Descriptor deprecated 

func (*ListCustomJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListCustomJobsRequest.ProtoReflect.Descriptor instead.

func (*ListCustomJobsRequest) GetFilter 

func (x *ListCustomJobsRequest) GetFilter() string

func (*ListCustomJobsRequest) GetPageSize 

func (x *ListCustomJobsRequest) GetPageSize() int32

func (*ListCustomJobsRequest) GetPageToken 

func (x *ListCustomJobsRequest) GetPageToken() string

func (*ListCustomJobsRequest) GetParent 

func (x *ListCustomJobsRequest) GetParent() string

func (*ListCustomJobsRequest) GetReadMask 

func (x *ListCustomJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListCustomJobsRequest) ProtoMessage 

func (*ListCustomJobsRequest) ProtoMessage()

func (*ListCustomJobsRequest) ProtoReflect 

func (x *ListCustomJobsRequest) ProtoReflect() protoreflect.Message

func (*ListCustomJobsRequest) Reset 

func (x *ListCustomJobsRequest) Reset()

func (*ListCustomJobsRequest) String 

func (x *ListCustomJobsRequest) String() string

type ListCustomJobsResponse 

type ListCustomJobsResponse struct {

	// List of CustomJobs in the requested page.
	CustomJobs []*CustomJob `protobuf:"bytes,1,rep,name=custom_jobs,json=customJobs,proto3" json:"custom_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListCustomJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListCustomJobsRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]

func (*ListCustomJobsResponse) Descriptor deprecated 

func (*ListCustomJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListCustomJobsResponse.ProtoReflect.Descriptor instead.

func (*ListCustomJobsResponse) GetCustomJobs 

func (x *ListCustomJobsResponse) GetCustomJobs() []*CustomJob

func (*ListCustomJobsResponse) GetNextPageToken 

func (x *ListCustomJobsResponse) GetNextPageToken() string

func (*ListCustomJobsResponse) ProtoMessage 

func (*ListCustomJobsResponse) ProtoMessage()

func (*ListCustomJobsResponse) ProtoReflect 

func (x *ListCustomJobsResponse) ProtoReflect() protoreflect.Message

func (*ListCustomJobsResponse) Reset 

func (x *ListCustomJobsResponse) Reset()

func (*ListCustomJobsResponse) String 

func (x *ListCustomJobsResponse) String() string

type ListDataItemsRequest 

type ListDataItemsRequest struct {

	// Required. The resource name of the Dataset to list DataItems from.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].

func (*ListDataItemsRequest) Descriptor deprecated 

func (*ListDataItemsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDataItemsRequest.ProtoReflect.Descriptor instead.

func (*ListDataItemsRequest) GetFilter 

func (x *ListDataItemsRequest) GetFilter() string

func (*ListDataItemsRequest) GetOrderBy 

func (x *ListDataItemsRequest) GetOrderBy() string

func (*ListDataItemsRequest) GetPageSize 

func (x *ListDataItemsRequest) GetPageSize() int32

func (*ListDataItemsRequest) GetPageToken 

func (x *ListDataItemsRequest) GetPageToken() string

func (*ListDataItemsRequest) GetParent 

func (x *ListDataItemsRequest) GetParent() string

func (*ListDataItemsRequest) GetReadMask 

func (x *ListDataItemsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDataItemsRequest) ProtoMessage 

func (*ListDataItemsRequest) ProtoMessage()

func (*ListDataItemsRequest) ProtoReflect 

func (x *ListDataItemsRequest) ProtoReflect() protoreflect.Message

func (*ListDataItemsRequest) Reset 

func (x *ListDataItemsRequest) Reset()

func (*ListDataItemsRequest) String 

func (x *ListDataItemsRequest) String() string

type ListDataItemsResponse 

type ListDataItemsResponse struct {

	// A list of DataItems that matches the specified filter in the request.
	DataItems []*DataItem `protobuf:"bytes,1,rep,name=data_items,json=dataItems,proto3" json:"data_items,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].

func (*ListDataItemsResponse) Descriptor deprecated 

func (*ListDataItemsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDataItemsResponse.ProtoReflect.Descriptor instead.

func (*ListDataItemsResponse) GetDataItems 

func (x *ListDataItemsResponse) GetDataItems() []*DataItem

func (*ListDataItemsResponse) GetNextPageToken 

func (x *ListDataItemsResponse) GetNextPageToken() string

func (*ListDataItemsResponse) ProtoMessage 

func (*ListDataItemsResponse) ProtoMessage()

func (*ListDataItemsResponse) ProtoReflect 

func (x *ListDataItemsResponse) ProtoReflect() protoreflect.Message

func (*ListDataItemsResponse) Reset 

func (x *ListDataItemsResponse) Reset()

func (*ListDataItemsResponse) String 

func (x *ListDataItemsResponse) String() string

type ListDataLabelingJobsRequest 

type ListDataLabelingJobsRequest struct {

	// Required. The parent of the DataLabelingJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read. FieldMask represents a set of
	// symbolic field paths. For example, the mask can be `paths: "name"`. The
	// "name" here is a field in DataLabelingJob.
	// If this field is not set, all fields of the DataLabelingJob are returned.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order by
	// default.
	// Use `desc` after a field name for descending.
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].

func (*ListDataLabelingJobsRequest) Descriptor deprecated 

func (*ListDataLabelingJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDataLabelingJobsRequest.ProtoReflect.Descriptor instead.

func (*ListDataLabelingJobsRequest) GetFilter 

func (x *ListDataLabelingJobsRequest) GetFilter() string

func (*ListDataLabelingJobsRequest) GetOrderBy 

func (x *ListDataLabelingJobsRequest) GetOrderBy() string

func (*ListDataLabelingJobsRequest) GetPageSize 

func (x *ListDataLabelingJobsRequest) GetPageSize() int32

func (*ListDataLabelingJobsRequest) GetPageToken 

func (x *ListDataLabelingJobsRequest) GetPageToken() string

func (*ListDataLabelingJobsRequest) GetParent 

func (x *ListDataLabelingJobsRequest) GetParent() string

func (*ListDataLabelingJobsRequest) GetReadMask 

func (x *ListDataLabelingJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDataLabelingJobsRequest) ProtoMessage 

func (*ListDataLabelingJobsRequest) ProtoMessage()

func (*ListDataLabelingJobsRequest) ProtoReflect 

func (x *ListDataLabelingJobsRequest) ProtoReflect() protoreflect.Message

func (*ListDataLabelingJobsRequest) Reset 

func (x *ListDataLabelingJobsRequest) Reset()

func (*ListDataLabelingJobsRequest) String 

func (x *ListDataLabelingJobsRequest) String() string

type ListDataLabelingJobsResponse 

type ListDataLabelingJobsResponse struct {

	// A list of DataLabelingJobs that matches the specified filter in the
	// request.
	DataLabelingJobs []*DataLabelingJob `protobuf:"bytes,1,rep,name=data_labeling_jobs,json=dataLabelingJobs,proto3" json:"data_labeling_jobs,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].

func (*ListDataLabelingJobsResponse) Descriptor deprecated 

func (*ListDataLabelingJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDataLabelingJobsResponse.ProtoReflect.Descriptor instead.

func (*ListDataLabelingJobsResponse) GetDataLabelingJobs 

func (x *ListDataLabelingJobsResponse) GetDataLabelingJobs() []*DataLabelingJob

func (*ListDataLabelingJobsResponse) GetNextPageToken 

func (x *ListDataLabelingJobsResponse) GetNextPageToken() string

func (*ListDataLabelingJobsResponse) ProtoMessage 

func (*ListDataLabelingJobsResponse) ProtoMessage()

func (*ListDataLabelingJobsResponse) ProtoReflect 

func (x *ListDataLabelingJobsResponse) ProtoReflect() protoreflect.Message

func (*ListDataLabelingJobsResponse) Reset 

func (x *ListDataLabelingJobsResponse) Reset()

func (*ListDataLabelingJobsResponse) String 

func (x *ListDataLabelingJobsResponse) String() string

type ListDatasetsRequest 

type ListDatasetsRequest struct {

	// Required. The name of the Dataset's parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `display_name`: supports = and !=
	//   * `metadata_schema_uri`: supports = and !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//   * `display_name`
	//   * `create_time`
	//   * `update_time`
	OrderBy string `protobuf:"bytes,6,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].

func (*ListDatasetsRequest) Descriptor deprecated 

func (*ListDatasetsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetsRequest.ProtoReflect.Descriptor instead.

func (*ListDatasetsRequest) GetFilter 

func (x *ListDatasetsRequest) GetFilter() string

func (*ListDatasetsRequest) GetOrderBy 

func (x *ListDatasetsRequest) GetOrderBy() string

func (*ListDatasetsRequest) GetPageSize 

func (x *ListDatasetsRequest) GetPageSize() int32

func (*ListDatasetsRequest) GetPageToken 

func (x *ListDatasetsRequest) GetPageToken() string

func (*ListDatasetsRequest) GetParent 

func (x *ListDatasetsRequest) GetParent() string

func (*ListDatasetsRequest) GetReadMask 

func (x *ListDatasetsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListDatasetsRequest) ProtoMessage 

func (*ListDatasetsRequest) ProtoMessage()

func (*ListDatasetsRequest) ProtoReflect 

func (x *ListDatasetsRequest) ProtoReflect() protoreflect.Message

func (*ListDatasetsRequest) Reset 

func (x *ListDatasetsRequest) Reset()

func (*ListDatasetsRequest) String 

func (x *ListDatasetsRequest) String() string

type ListDatasetsResponse 

type ListDatasetsResponse struct {

	// A list of Datasets that matches the specified filter in the request.
	Datasets []*Dataset `protobuf:"bytes,1,rep,name=datasets,proto3" json:"datasets,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].

func (*ListDatasetsResponse) Descriptor deprecated 

func (*ListDatasetsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListDatasetsResponse.ProtoReflect.Descriptor instead.

func (*ListDatasetsResponse) GetDatasets 

func (x *ListDatasetsResponse) GetDatasets() []*Dataset

func (*ListDatasetsResponse) GetNextPageToken 

func (x *ListDatasetsResponse) GetNextPageToken() string

func (*ListDatasetsResponse) ProtoMessage 

func (*ListDatasetsResponse) ProtoMessage()

func (*ListDatasetsResponse) ProtoReflect 

func (x *ListDatasetsResponse) ProtoReflect() protoreflect.Message

func (*ListDatasetsResponse) Reset 

func (x *ListDatasetsResponse) Reset()

func (*ListDatasetsResponse) String 

func (x *ListDatasetsResponse) String() string

type ListEndpointsRequest 

type ListEndpointsRequest struct {

	// Required. The resource name of the Location from which to list the Endpoints.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
	//     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
	//   * `display_name` supports = and, !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   * `endpoint=1`
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListEndpointsResponse.next_page_token] of the previous
	// [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].

func (*ListEndpointsRequest) Descriptor deprecated 

func (*ListEndpointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListEndpointsRequest.ProtoReflect.Descriptor instead.

func (*ListEndpointsRequest) GetFilter 

func (x *ListEndpointsRequest) GetFilter() string

func (*ListEndpointsRequest) GetPageSize 

func (x *ListEndpointsRequest) GetPageSize() int32

func (*ListEndpointsRequest) GetPageToken 

func (x *ListEndpointsRequest) GetPageToken() string

func (*ListEndpointsRequest) GetParent 

func (x *ListEndpointsRequest) GetParent() string

func (*ListEndpointsRequest) GetReadMask 

func (x *ListEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListEndpointsRequest) ProtoMessage 

func (*ListEndpointsRequest) ProtoMessage()

func (*ListEndpointsRequest) ProtoReflect 

func (x *ListEndpointsRequest) ProtoReflect() protoreflect.Message

func (*ListEndpointsRequest) Reset 

func (x *ListEndpointsRequest) Reset()

func (*ListEndpointsRequest) String 

func (x *ListEndpointsRequest) String() string

type ListEndpointsResponse 

type ListEndpointsResponse struct {

	// List of Endpoints in the requested page.
	Endpoints []*Endpoint `protobuf:"bytes,1,rep,name=endpoints,proto3" json:"endpoints,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListEndpointsRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].

func (*ListEndpointsResponse) Descriptor deprecated 

func (*ListEndpointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListEndpointsResponse.ProtoReflect.Descriptor instead.

func (*ListEndpointsResponse) GetEndpoints 

func (x *ListEndpointsResponse) GetEndpoints() []*Endpoint

func (*ListEndpointsResponse) GetNextPageToken 

func (x *ListEndpointsResponse) GetNextPageToken() string

func (*ListEndpointsResponse) ProtoMessage 

func (*ListEndpointsResponse) ProtoMessage()

func (*ListEndpointsResponse) ProtoReflect 

func (x *ListEndpointsResponse) ProtoReflect() protoreflect.Message

func (*ListEndpointsResponse) Reset 

func (x *ListEndpointsResponse) Reset()

func (*ListEndpointsResponse) String 

func (x *ListEndpointsResponse) String() string

type ListEntityTypesRequest 

type ListEntityTypesRequest struct {

	// Required. The resource name of the Featurestore to list EntityTypes.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the EntityTypes that match the filter expression. The following
	// filters are supported:
	//
	// * `create_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
	// be in RFC 3339 format.
	// * `update_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
	// be in RFC 3339 format.
	// * `labels`: Supports key-value equality as well as key presence.
	//
	// Examples:
	//
	// * `create_time > \"2020-01-31T15:30:00.000000Z\" OR
	//      update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
	//      or updated after 2020-01-31T15:30:00.000000Z.
	// * `labels.active = yes AND labels.env = prod` --> EntityTypes having both
	//     (active: yes) and (env: prod) labels.
	// * `labels.env: *` --> Any EntityType which has a label with 'env' as the
	//   key.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of EntityTypes to return. The service may return fewer
	// than this value. If unspecified, at most 1000 EntityTypes will be returned.
	// The maximum value is 1000; any value greater than 1000 will be coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	//
	// Supported fields:
	//
	//   * `entity_type_id`
	//   * `create_time`
	//   * `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].

func (*ListEntityTypesRequest) Descriptor deprecated 

func (*ListEntityTypesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListEntityTypesRequest.ProtoReflect.Descriptor instead.

func (*ListEntityTypesRequest) GetFilter 

func (x *ListEntityTypesRequest) GetFilter() string

func (*ListEntityTypesRequest) GetOrderBy 

func (x *ListEntityTypesRequest) GetOrderBy() string

func (*ListEntityTypesRequest) GetPageSize 

func (x *ListEntityTypesRequest) GetPageSize() int32

func (*ListEntityTypesRequest) GetPageToken 

func (x *ListEntityTypesRequest) GetPageToken() string

func (*ListEntityTypesRequest) GetParent 

func (x *ListEntityTypesRequest) GetParent() string

func (*ListEntityTypesRequest) GetReadMask 

func (x *ListEntityTypesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListEntityTypesRequest) ProtoMessage 

func (*ListEntityTypesRequest) ProtoMessage()

func (*ListEntityTypesRequest) ProtoReflect 

func (x *ListEntityTypesRequest) ProtoReflect() protoreflect.Message

func (*ListEntityTypesRequest) Reset 

func (x *ListEntityTypesRequest) Reset()

func (*ListEntityTypesRequest) String 

func (x *ListEntityTypesRequest) String() string

type ListEntityTypesResponse 

type ListEntityTypesResponse struct {

	// The EntityTypes matching the request.
	EntityTypes []*EntityType `protobuf:"bytes,1,rep,name=entity_types,json=entityTypes,proto3" json:"entity_types,omitempty"`
	// A token, which can be sent as [ListEntityTypesRequest.page_token][google.cloud.aiplatform.v1beta1.ListEntityTypesRequest.page_token] to
	// retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].

func (*ListEntityTypesResponse) Descriptor deprecated 

func (*ListEntityTypesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListEntityTypesResponse.ProtoReflect.Descriptor instead.

func (*ListEntityTypesResponse) GetEntityTypes 

func (x *ListEntityTypesResponse) GetEntityTypes() []*EntityType

func (*ListEntityTypesResponse) GetNextPageToken 

func (x *ListEntityTypesResponse) GetNextPageToken() string

func (*ListEntityTypesResponse) ProtoMessage 

func (*ListEntityTypesResponse) ProtoMessage()

func (*ListEntityTypesResponse) ProtoReflect 

func (x *ListEntityTypesResponse) ProtoReflect() protoreflect.Message

func (*ListEntityTypesResponse) Reset 

func (x *ListEntityTypesResponse) Reset()

func (*ListEntityTypesResponse) String 

func (x *ListEntityTypesResponse) String() string

type ListExecutionsRequest 

type ListExecutionsRequest struct {

	// Required. The MetadataStore whose Executions should be listed.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Executions to return. The service may return fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions]
	// call. Provide this to retrieve the subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with an
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Filter specifying the boolean condition for the Executions to satisfy in
	// order to be part of the result set.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// Following are the supported set of filters:
	//
	// *  **Attribute filtering**:
	//    For example: `display_name = "test"`.
	//    Supported fields include: `name`, `display_name`, `state`,
	//    `schema_title`, `create_time`, and `update_time`.
	//    Time fields, such as `create_time` and `update_time`, require values
	//    specified in RFC-3339 format.
	//    For example: `create_time = "2020-11-19T11:30:00-04:00"`.
	// *  **Metadata field**:
	//    To filter on metadata fields use traversal operation as follows:
	//    `metadata.<field_name>.<type_value>`
	//    For example: `metadata.field_1.number_value = 10.0`
	// *  **Context based filtering**:
	//    To filter Executions based on the contexts to which they belong use
	//    the function operator with the full resource name:
	//    `in_context(<context-name>)`.
	//    For example:
	//    `in_context("projects/<project_number>/locations/<location>/metadataStores/<metadatastore_name>/contexts/<context-id>")`
	//
	// Each of the above supported filters can be combined together using
	// logical operators (`AND` & `OR`).
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].

func (*ListExecutionsRequest) Descriptor deprecated 

func (*ListExecutionsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListExecutionsRequest.ProtoReflect.Descriptor instead.

func (*ListExecutionsRequest) GetFilter 

func (x *ListExecutionsRequest) GetFilter() string

func (*ListExecutionsRequest) GetPageSize 

func (x *ListExecutionsRequest) GetPageSize() int32

func (*ListExecutionsRequest) GetPageToken 

func (x *ListExecutionsRequest) GetPageToken() string

func (*ListExecutionsRequest) GetParent 

func (x *ListExecutionsRequest) GetParent() string

func (*ListExecutionsRequest) ProtoMessage 

func (*ListExecutionsRequest) ProtoMessage()

func (*ListExecutionsRequest) ProtoReflect 

func (x *ListExecutionsRequest) ProtoReflect() protoreflect.Message

func (*ListExecutionsRequest) Reset 

func (x *ListExecutionsRequest) Reset()

func (*ListExecutionsRequest) String 

func (x *ListExecutionsRequest) String() string

type ListExecutionsResponse 

type ListExecutionsResponse struct {

	// The Executions retrieved from the MetadataStore.
	Executions []*Execution `protobuf:"bytes,1,rep,name=executions,proto3" json:"executions,omitempty"`
	// A token, which can be sent as [ListExecutionsRequest.page_token][google.cloud.aiplatform.v1beta1.ListExecutionsRequest.page_token]
	// to retrieve the next page.
	// If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].

func (*ListExecutionsResponse) Descriptor deprecated 

func (*ListExecutionsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListExecutionsResponse.ProtoReflect.Descriptor instead.

func (*ListExecutionsResponse) GetExecutions 

func (x *ListExecutionsResponse) GetExecutions() []*Execution

func (*ListExecutionsResponse) GetNextPageToken 

func (x *ListExecutionsResponse) GetNextPageToken() string

func (*ListExecutionsResponse) ProtoMessage 

func (*ListExecutionsResponse) ProtoMessage()

func (*ListExecutionsResponse) ProtoReflect 

func (x *ListExecutionsResponse) ProtoReflect() protoreflect.Message

func (*ListExecutionsResponse) Reset 

func (x *ListExecutionsResponse) Reset()

func (*ListExecutionsResponse) String 

func (x *ListExecutionsResponse) String() string

type ListFeaturesRequest 

type ListFeaturesRequest struct {

	// Required. The resource name of the Location to list Features.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the Features that match the filter expression. The following
	// filters are supported:
	//
	// * `value_type`: Supports = and != comparisons.
	// * `create_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
	// be in RFC 3339 format.
	// * `update_time`: Supports =, !=, <, >, >=, and <= comparisons. Values must
	// be in RFC 3339 format.
	// * `labels`: Supports key-value equality as well as key presence.
	//
	// Examples:
	//
	// * `value_type = DOUBLE` --> Features whose type is DOUBLE.
	// * `create_time > \"2020-01-31T15:30:00.000000Z\" OR
	//      update_time > \"2020-01-31T15:30:00.000000Z\"` --> EntityTypes created
	//      or updated after 2020-01-31T15:30:00.000000Z.
	// * `labels.active = yes AND labels.env = prod` --> Features having both
	//     (active: yes) and (env: prod) labels.
	// * `labels.env: *` --> Any Feature which has a label with 'env' as the
	//   key.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Features to return. The service may return fewer
	// than this value. If unspecified, at most 1000 Features will be returned.
	// The maximum value is 1000; any value greater than 1000 will be coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported fields:
	//
	//   * `feature_id`
	//   * `value_type`
	//   * `create_time`
	//   * `update_time`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// If set, return the most recent [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count]
	// of stats for each Feature in response. Valid value is [0, 10]. If number of
	// stats exists < [ListFeaturesRequest.latest_stats_count][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.latest_stats_count], return all
	// existing stats.
	LatestStatsCount int32 `protobuf:"varint,7,opt,name=latest_stats_count,json=latestStatsCount,proto3" json:"latest_stats_count,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].

func (*ListFeaturesRequest) Descriptor deprecated 

func (*ListFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturesRequest.ProtoReflect.Descriptor instead.

func (*ListFeaturesRequest) GetFilter 

func (x *ListFeaturesRequest) GetFilter() string

func (*ListFeaturesRequest) GetLatestStatsCount 

func (x *ListFeaturesRequest) GetLatestStatsCount() int32

func (*ListFeaturesRequest) GetOrderBy 

func (x *ListFeaturesRequest) GetOrderBy() string

func (*ListFeaturesRequest) GetPageSize 

func (x *ListFeaturesRequest) GetPageSize() int32

func (*ListFeaturesRequest) GetPageToken 

func (x *ListFeaturesRequest) GetPageToken() string

func (*ListFeaturesRequest) GetParent 

func (x *ListFeaturesRequest) GetParent() string

func (*ListFeaturesRequest) GetReadMask 

func (x *ListFeaturesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListFeaturesRequest) ProtoMessage 

func (*ListFeaturesRequest) ProtoMessage()

func (*ListFeaturesRequest) ProtoReflect 

func (x *ListFeaturesRequest) ProtoReflect() protoreflect.Message

func (*ListFeaturesRequest) Reset 

func (x *ListFeaturesRequest) Reset()

func (*ListFeaturesRequest) String 

func (x *ListFeaturesRequest) String() string

type ListFeaturesResponse 

type ListFeaturesResponse struct {

	// The Features matching the request.
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// A token, which can be sent as [ListFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturesRequest.page_token] to
	// retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].

func (*ListFeaturesResponse) Descriptor deprecated 

func (*ListFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturesResponse.ProtoReflect.Descriptor instead.

func (*ListFeaturesResponse) GetFeatures 

func (x *ListFeaturesResponse) GetFeatures() []*Feature

func (*ListFeaturesResponse) GetNextPageToken 

func (x *ListFeaturesResponse) GetNextPageToken() string

func (*ListFeaturesResponse) ProtoMessage 

func (*ListFeaturesResponse) ProtoMessage()

func (*ListFeaturesResponse) ProtoReflect 

func (x *ListFeaturesResponse) ProtoReflect() protoreflect.Message

func (*ListFeaturesResponse) Reset 

func (x *ListFeaturesResponse) Reset()

func (*ListFeaturesResponse) String 

func (x *ListFeaturesResponse) String() string

type ListFeaturestoresRequest 

type ListFeaturestoresRequest struct {

	// Required. The resource name of the Location to list Featurestores.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the featurestores that match the filter expression. The following
	// fields are supported:
	//
	// * `create_time`: Supports =, !=, <, >, <=, and >= comparisons. Values must
	// be
	//   in RFC 3339 format.
	// * `update_time`: Supports =, !=, <, >, <=, and >= comparisons. Values must
	// be
	//   in RFC 3339 format.
	// * `online_serving_config.fixed_node_count`: Supports =, !=, <, >, <=,
	// and >= comparisons.
	// * `labels`: Supports key-value equality and key presence.
	//
	// Examples:
	//
	// * `create_time > "2020-01-01" OR update_time > "2020-01-01"`
	//    Featurestores created or updated after 2020-01-01.
	// * `labels.env = "prod"`
	//    Featurestores with label "env" set to "prod".
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Featurestores to return. The service may return fewer
	// than this value. If unspecified, at most 100 Featurestores will be
	// returned. The maximum value is 100; any value greater than 100 will be
	// coerced to 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A comma-separated list of fields to order by, sorted in ascending order.
	// Use "desc" after a field name for descending.
	// Supported Fields:
	//
	//   * `create_time`
	//   * `update_time`
	//   * `online_serving_config.fixed_node_count`
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].

func (*ListFeaturestoresRequest) Descriptor deprecated 

func (*ListFeaturestoresRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturestoresRequest.ProtoReflect.Descriptor instead.

func (*ListFeaturestoresRequest) GetFilter 

func (x *ListFeaturestoresRequest) GetFilter() string

func (*ListFeaturestoresRequest) GetOrderBy 

func (x *ListFeaturestoresRequest) GetOrderBy() string

func (*ListFeaturestoresRequest) GetPageSize 

func (x *ListFeaturestoresRequest) GetPageSize() int32

func (*ListFeaturestoresRequest) GetPageToken 

func (x *ListFeaturestoresRequest) GetPageToken() string

func (*ListFeaturestoresRequest) GetParent 

func (x *ListFeaturestoresRequest) GetParent() string

func (*ListFeaturestoresRequest) GetReadMask 

func (x *ListFeaturestoresRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListFeaturestoresRequest) ProtoMessage 

func (*ListFeaturestoresRequest) ProtoMessage()

func (*ListFeaturestoresRequest) ProtoReflect 

func (x *ListFeaturestoresRequest) ProtoReflect() protoreflect.Message

func (*ListFeaturestoresRequest) Reset 

func (x *ListFeaturestoresRequest) Reset()

func (*ListFeaturestoresRequest) String 

func (x *ListFeaturestoresRequest) String() string

type ListFeaturestoresResponse 

type ListFeaturestoresResponse struct {

	// The Featurestores matching the request.
	Featurestores []*Featurestore `protobuf:"bytes,1,rep,name=featurestores,proto3" json:"featurestores,omitempty"`
	// A token, which can be sent as [ListFeaturestoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListFeaturestoresRequest.page_token] to
	// retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].

func (*ListFeaturestoresResponse) Descriptor deprecated 

func (*ListFeaturestoresResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListFeaturestoresResponse.ProtoReflect.Descriptor instead.

func (*ListFeaturestoresResponse) GetFeaturestores 

func (x *ListFeaturestoresResponse) GetFeaturestores() []*Featurestore

func (*ListFeaturestoresResponse) GetNextPageToken 

func (x *ListFeaturestoresResponse) GetNextPageToken() string

func (*ListFeaturestoresResponse) ProtoMessage 

func (*ListFeaturestoresResponse) ProtoMessage()

func (*ListFeaturestoresResponse) ProtoReflect 

func (x *ListFeaturestoresResponse) ProtoReflect() protoreflect.Message

func (*ListFeaturestoresResponse) Reset 

func (x *ListFeaturestoresResponse) Reset()

func (*ListFeaturestoresResponse) String 

func (x *ListFeaturestoresResponse) String() string

type ListHyperparameterTuningJobsRequest 

type ListHyperparameterTuningJobsRequest struct {

	// Required. The resource name of the Location to list the HyperparameterTuningJobs
	// from. Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	// Some examples of using the filter are:
	//
	//  * `state="JOB_STATE_SUCCEEDED" AND display_name="my_job"`
	//
	//  * `state="JOB_STATE_RUNNING" OR display_name="my_job"`
	//
	//  * `NOT display_name="my_job"`
	//
	//  * `state="JOB_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListHyperparameterTuningJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsResponse.next_page_token] of the previous
	// [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].

func (*ListHyperparameterTuningJobsRequest) Descriptor deprecated 

func (*ListHyperparameterTuningJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListHyperparameterTuningJobsRequest.ProtoReflect.Descriptor instead.

func (*ListHyperparameterTuningJobsRequest) GetFilter 

func (x *ListHyperparameterTuningJobsRequest) GetFilter() string

func (*ListHyperparameterTuningJobsRequest) GetPageSize 

func (x *ListHyperparameterTuningJobsRequest) GetPageSize() int32

func (*ListHyperparameterTuningJobsRequest) GetPageToken 

func (x *ListHyperparameterTuningJobsRequest) GetPageToken() string

func (*ListHyperparameterTuningJobsRequest) GetParent 

func (x *ListHyperparameterTuningJobsRequest) GetParent() string

func (*ListHyperparameterTuningJobsRequest) GetReadMask 

func (x *ListHyperparameterTuningJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListHyperparameterTuningJobsRequest) ProtoMessage 

func (*ListHyperparameterTuningJobsRequest) ProtoMessage()

func (*ListHyperparameterTuningJobsRequest) ProtoReflect 

func (x *ListHyperparameterTuningJobsRequest) ProtoReflect() protoreflect.Message

func (*ListHyperparameterTuningJobsRequest) Reset 

func (x *ListHyperparameterTuningJobsRequest) Reset()

func (*ListHyperparameterTuningJobsRequest) String 

func (x *ListHyperparameterTuningJobsRequest) String() string

type ListHyperparameterTuningJobsResponse 

type ListHyperparameterTuningJobsResponse struct {

	// List of HyperparameterTuningJobs in the requested page.
	// [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1beta1.HyperparameterTuningJob.trials] of the jobs will be not be returned.
	HyperparameterTuningJobs []*HyperparameterTuningJob `` /* 135-byte string literal not displayed */
	// A token to retrieve the next page of results.
	// Pass to [ListHyperparameterTuningJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListHyperparameterTuningJobsRequest.page_token] to obtain that
	// page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]

func (*ListHyperparameterTuningJobsResponse) Descriptor deprecated 

func (*ListHyperparameterTuningJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListHyperparameterTuningJobsResponse.ProtoReflect.Descriptor instead.

func (*ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs 

func (x *ListHyperparameterTuningJobsResponse) GetHyperparameterTuningJobs() []*HyperparameterTuningJob

func (*ListHyperparameterTuningJobsResponse) GetNextPageToken 

func (x *ListHyperparameterTuningJobsResponse) GetNextPageToken() string

func (*ListHyperparameterTuningJobsResponse) ProtoMessage 

func (*ListHyperparameterTuningJobsResponse) ProtoMessage()

func (*ListHyperparameterTuningJobsResponse) ProtoReflect 

func (x *ListHyperparameterTuningJobsResponse) ProtoReflect() protoreflect.Message

func (*ListHyperparameterTuningJobsResponse) Reset 

func (x *ListHyperparameterTuningJobsResponse) Reset()

func (*ListHyperparameterTuningJobsResponse) String 

func (x *ListHyperparameterTuningJobsResponse) String() string

type ListIndexEndpointsRequest 

type ListIndexEndpointsRequest struct {

	// Required. The resource name of the Location from which to list the IndexEndpoints.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `index_endpoint` supports = and !=. `index_endpoint` represents the
	//      IndexEndpoint ID, ie. the last segment of the IndexEndpoint's
	//      [resourcename][google.cloud.aiplatform.v1beta1.IndexEndpoint.name].
	//   * `display_name` supports =, != and regex()
	//             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
	//   * `labels` supports general map functions that is:
	//             `labels.key=value` - key:value equality
	//             `labels.key:* or labels:key - key existence
	//              A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   * `index_endpoint="1"`
	//   * `display_name="myDisplayName"`
	//   * `regex(display_name, "^A") -> The display name starts with an A.
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// Optional. The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// Optional. The standard list page token.
	// Typically obtained via
	// [ListIndexEndpointsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsResponse.next_page_token] of the previous
	// [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].

func (*ListIndexEndpointsRequest) Descriptor deprecated 

func (*ListIndexEndpointsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexEndpointsRequest.ProtoReflect.Descriptor instead.

func (*ListIndexEndpointsRequest) GetFilter 

func (x *ListIndexEndpointsRequest) GetFilter() string

func (*ListIndexEndpointsRequest) GetPageSize 

func (x *ListIndexEndpointsRequest) GetPageSize() int32

func (*ListIndexEndpointsRequest) GetPageToken 

func (x *ListIndexEndpointsRequest) GetPageToken() string

func (*ListIndexEndpointsRequest) GetParent 

func (x *ListIndexEndpointsRequest) GetParent() string

func (*ListIndexEndpointsRequest) GetReadMask 

func (x *ListIndexEndpointsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListIndexEndpointsRequest) ProtoMessage 

func (*ListIndexEndpointsRequest) ProtoMessage()

func (*ListIndexEndpointsRequest) ProtoReflect 

func (x *ListIndexEndpointsRequest) ProtoReflect() protoreflect.Message

func (*ListIndexEndpointsRequest) Reset 

func (x *ListIndexEndpointsRequest) Reset()

func (*ListIndexEndpointsRequest) String 

func (x *ListIndexEndpointsRequest) String() string

type ListIndexEndpointsResponse 

type ListIndexEndpointsResponse struct {

	// List of IndexEndpoints in the requested page.
	IndexEndpoints []*IndexEndpoint `protobuf:"bytes,1,rep,name=index_endpoints,json=indexEndpoints,proto3" json:"index_endpoints,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListIndexEndpointsRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexEndpointsRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].

func (*ListIndexEndpointsResponse) Descriptor deprecated 

func (*ListIndexEndpointsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexEndpointsResponse.ProtoReflect.Descriptor instead.

func (*ListIndexEndpointsResponse) GetIndexEndpoints 

func (x *ListIndexEndpointsResponse) GetIndexEndpoints() []*IndexEndpoint

func (*ListIndexEndpointsResponse) GetNextPageToken 

func (x *ListIndexEndpointsResponse) GetNextPageToken() string

func (*ListIndexEndpointsResponse) ProtoMessage 

func (*ListIndexEndpointsResponse) ProtoMessage()

func (*ListIndexEndpointsResponse) ProtoReflect 

func (x *ListIndexEndpointsResponse) ProtoReflect() protoreflect.Message

func (*ListIndexEndpointsResponse) Reset 

func (x *ListIndexEndpointsResponse) Reset()

func (*ListIndexEndpointsResponse) String 

func (x *ListIndexEndpointsResponse) String() string

type ListIndexesRequest 

type ListIndexesRequest struct {

	// Required. The resource name of the Location from which to list the Indexes.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token] of the previous
	// [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].

func (*ListIndexesRequest) Descriptor deprecated 

func (*ListIndexesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexesRequest.ProtoReflect.Descriptor instead.

func (*ListIndexesRequest) GetFilter 

func (x *ListIndexesRequest) GetFilter() string

func (*ListIndexesRequest) GetPageSize 

func (x *ListIndexesRequest) GetPageSize() int32

func (*ListIndexesRequest) GetPageToken 

func (x *ListIndexesRequest) GetPageToken() string

func (*ListIndexesRequest) GetParent 

func (x *ListIndexesRequest) GetParent() string

func (*ListIndexesRequest) GetReadMask 

func (x *ListIndexesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListIndexesRequest) ProtoMessage 

func (*ListIndexesRequest) ProtoMessage()

func (*ListIndexesRequest) ProtoReflect 

func (x *ListIndexesRequest) ProtoReflect() protoreflect.Message

func (*ListIndexesRequest) Reset 

func (x *ListIndexesRequest) Reset()

func (*ListIndexesRequest) String 

func (x *ListIndexesRequest) String() string

type ListIndexesResponse 

type ListIndexesResponse struct {

	// List of indexes in the requested page.
	Indexes []*Index `protobuf:"bytes,1,rep,name=indexes,proto3" json:"indexes,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].

func (*ListIndexesResponse) Descriptor deprecated 

func (*ListIndexesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListIndexesResponse.ProtoReflect.Descriptor instead.

func (*ListIndexesResponse) GetIndexes 

func (x *ListIndexesResponse) GetIndexes() []*Index

func (*ListIndexesResponse) GetNextPageToken 

func (x *ListIndexesResponse) GetNextPageToken() string

func (*ListIndexesResponse) ProtoMessage 

func (*ListIndexesResponse) ProtoMessage()

func (*ListIndexesResponse) ProtoReflect 

func (x *ListIndexesResponse) ProtoReflect() protoreflect.Message

func (*ListIndexesResponse) Reset 

func (x *ListIndexesResponse) Reset()

func (*ListIndexesResponse) String 

func (x *ListIndexesResponse) String() string

type ListMetadataSchemasRequest 

type ListMetadataSchemasRequest struct {

	// Required. The MetadataStore whose MetadataSchemas should be listed.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of MetadataSchemas to return. The service may return
	// fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas] call. Provide this to retrieve the
	// next page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A query to filter available MetadataSchemas for matching results.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].

func (*ListMetadataSchemasRequest) Descriptor deprecated 

func (*ListMetadataSchemasRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataSchemasRequest.ProtoReflect.Descriptor instead.

func (*ListMetadataSchemasRequest) GetFilter 

func (x *ListMetadataSchemasRequest) GetFilter() string

func (*ListMetadataSchemasRequest) GetPageSize 

func (x *ListMetadataSchemasRequest) GetPageSize() int32

func (*ListMetadataSchemasRequest) GetPageToken 

func (x *ListMetadataSchemasRequest) GetPageToken() string

func (*ListMetadataSchemasRequest) GetParent 

func (x *ListMetadataSchemasRequest) GetParent() string

func (*ListMetadataSchemasRequest) ProtoMessage 

func (*ListMetadataSchemasRequest) ProtoMessage()

func (*ListMetadataSchemasRequest) ProtoReflect 

func (x *ListMetadataSchemasRequest) ProtoReflect() protoreflect.Message

func (*ListMetadataSchemasRequest) Reset 

func (x *ListMetadataSchemasRequest) Reset()

func (*ListMetadataSchemasRequest) String 

func (x *ListMetadataSchemasRequest) String() string

type ListMetadataSchemasResponse 

type ListMetadataSchemasResponse struct {

	// The MetadataSchemas found for the MetadataStore.
	MetadataSchemas []*MetadataSchema `protobuf:"bytes,1,rep,name=metadata_schemas,json=metadataSchemas,proto3" json:"metadata_schemas,omitempty"`
	// A token, which can be sent as
	// [ListMetadataSchemasRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataSchemasRequest.page_token] to retrieve the next
	// page. If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].

func (*ListMetadataSchemasResponse) Descriptor deprecated 

func (*ListMetadataSchemasResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataSchemasResponse.ProtoReflect.Descriptor instead.

func (*ListMetadataSchemasResponse) GetMetadataSchemas 

func (x *ListMetadataSchemasResponse) GetMetadataSchemas() []*MetadataSchema

func (*ListMetadataSchemasResponse) GetNextPageToken 

func (x *ListMetadataSchemasResponse) GetNextPageToken() string

func (*ListMetadataSchemasResponse) ProtoMessage 

func (*ListMetadataSchemasResponse) ProtoMessage()

func (*ListMetadataSchemasResponse) ProtoReflect 

func (x *ListMetadataSchemasResponse) ProtoReflect() protoreflect.Message

func (*ListMetadataSchemasResponse) Reset 

func (x *ListMetadataSchemasResponse) Reset()

func (*ListMetadataSchemasResponse) String 

func (x *ListMetadataSchemasResponse) String() string

type ListMetadataStoresRequest 

type ListMetadataStoresRequest struct {

	// Required. The Location whose MetadataStores should be listed.
	// Format:
	// projects/{project}/locations/{location}
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The maximum number of Metadata Stores to return. The service may return
	// fewer.
	// Must be in range 1-1000, inclusive. Defaults to 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores] call. Provide this to retrieve the
	// subsequent page.
	//
	// When paginating, all other provided parameters must match the call that
	// provided the page token. (Otherwise the request will fail with
	// INVALID_ARGUMENT error.)
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].

func (*ListMetadataStoresRequest) Descriptor deprecated 

func (*ListMetadataStoresRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataStoresRequest.ProtoReflect.Descriptor instead.

func (*ListMetadataStoresRequest) GetPageSize 

func (x *ListMetadataStoresRequest) GetPageSize() int32

func (*ListMetadataStoresRequest) GetPageToken 

func (x *ListMetadataStoresRequest) GetPageToken() string

func (*ListMetadataStoresRequest) GetParent 

func (x *ListMetadataStoresRequest) GetParent() string

func (*ListMetadataStoresRequest) ProtoMessage 

func (*ListMetadataStoresRequest) ProtoMessage()

func (*ListMetadataStoresRequest) ProtoReflect 

func (x *ListMetadataStoresRequest) ProtoReflect() protoreflect.Message

func (*ListMetadataStoresRequest) Reset 

func (x *ListMetadataStoresRequest) Reset()

func (*ListMetadataStoresRequest) String 

func (x *ListMetadataStoresRequest) String() string

type ListMetadataStoresResponse 

type ListMetadataStoresResponse struct {

	// The MetadataStores found for the Location.
	MetadataStores []*MetadataStore `protobuf:"bytes,1,rep,name=metadata_stores,json=metadataStores,proto3" json:"metadata_stores,omitempty"`
	// A token, which can be sent as
	// [ListMetadataStoresRequest.page_token][google.cloud.aiplatform.v1beta1.ListMetadataStoresRequest.page_token] to retrieve the next
	// page. If this field is not populated, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].

func (*ListMetadataStoresResponse) Descriptor deprecated 

func (*ListMetadataStoresResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListMetadataStoresResponse.ProtoReflect.Descriptor instead.

func (*ListMetadataStoresResponse) GetMetadataStores 

func (x *ListMetadataStoresResponse) GetMetadataStores() []*MetadataStore

func (*ListMetadataStoresResponse) GetNextPageToken 

func (x *ListMetadataStoresResponse) GetNextPageToken() string

func (*ListMetadataStoresResponse) ProtoMessage 

func (*ListMetadataStoresResponse) ProtoMessage()

func (*ListMetadataStoresResponse) ProtoReflect 

func (x *ListMetadataStoresResponse) ProtoReflect() protoreflect.Message

func (*ListMetadataStoresResponse) Reset 

func (x *ListMetadataStoresResponse) Reset()

func (*ListMetadataStoresResponse) String 

func (x *ListMetadataStoresResponse) String() string

type ListModelDeploymentMonitoringJobsRequest 

type ListModelDeploymentMonitoringJobsRequest struct {

	// Required. The parent of the ModelDeploymentMonitoringJob.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobs].

func (*ListModelDeploymentMonitoringJobsRequest) Descriptor deprecated 

func (*ListModelDeploymentMonitoringJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelDeploymentMonitoringJobsRequest.ProtoReflect.Descriptor instead.

func (*ListModelDeploymentMonitoringJobsRequest) GetFilter 

func (x *ListModelDeploymentMonitoringJobsRequest) GetFilter() string

func (*ListModelDeploymentMonitoringJobsRequest) GetPageSize 

func (x *ListModelDeploymentMonitoringJobsRequest) GetPageSize() int32

func (*ListModelDeploymentMonitoringJobsRequest) GetPageToken 

func (x *ListModelDeploymentMonitoringJobsRequest) GetPageToken() string

func (*ListModelDeploymentMonitoringJobsRequest) GetParent 

func (x *ListModelDeploymentMonitoringJobsRequest) GetParent() string

func (*ListModelDeploymentMonitoringJobsRequest) GetReadMask 

func (x *ListModelDeploymentMonitoringJobsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage 

func (*ListModelDeploymentMonitoringJobsRequest) ProtoMessage()

func (*ListModelDeploymentMonitoringJobsRequest) ProtoReflect 

func (x *ListModelDeploymentMonitoringJobsRequest) ProtoReflect() protoreflect.Message

func (*ListModelDeploymentMonitoringJobsRequest) Reset 

func (x *ListModelDeploymentMonitoringJobsRequest) Reset()

func (*ListModelDeploymentMonitoringJobsRequest) String 

func (x *ListModelDeploymentMonitoringJobsRequest) String() string

type ListModelDeploymentMonitoringJobsResponse 

type ListModelDeploymentMonitoringJobsResponse struct {

	// A list of ModelDeploymentMonitoringJobs that matches the specified filter
	// in the request.
	ModelDeploymentMonitoringJobs []*ModelDeploymentMonitoringJob `` /* 152-byte string literal not displayed */
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobs].

func (*ListModelDeploymentMonitoringJobsResponse) Descriptor deprecated 

func (*ListModelDeploymentMonitoringJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelDeploymentMonitoringJobsResponse.ProtoReflect.Descriptor instead.

func (*ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs 

func (x *ListModelDeploymentMonitoringJobsResponse) GetModelDeploymentMonitoringJobs() []*ModelDeploymentMonitoringJob

func (*ListModelDeploymentMonitoringJobsResponse) GetNextPageToken 

func (x *ListModelDeploymentMonitoringJobsResponse) GetNextPageToken() string

func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage 

func (*ListModelDeploymentMonitoringJobsResponse) ProtoMessage()

func (*ListModelDeploymentMonitoringJobsResponse) ProtoReflect 

func (x *ListModelDeploymentMonitoringJobsResponse) ProtoReflect() protoreflect.Message

func (*ListModelDeploymentMonitoringJobsResponse) Reset 

func (x *ListModelDeploymentMonitoringJobsResponse) Reset()

func (*ListModelDeploymentMonitoringJobsResponse) String 

func (x *ListModelDeploymentMonitoringJobsResponse) String() string

type ListModelEvaluationSlicesRequest 

type ListModelEvaluationSlicesRequest struct {

	// Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
	// from. Format:
	// `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	//
	//   * `slice.dimension` - for =.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].

func (*ListModelEvaluationSlicesRequest) Descriptor deprecated 

func (*ListModelEvaluationSlicesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationSlicesRequest.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationSlicesRequest) GetFilter 

func (x *ListModelEvaluationSlicesRequest) GetFilter() string

func (*ListModelEvaluationSlicesRequest) GetPageSize 

func (x *ListModelEvaluationSlicesRequest) GetPageSize() int32

func (*ListModelEvaluationSlicesRequest) GetPageToken 

func (x *ListModelEvaluationSlicesRequest) GetPageToken() string

func (*ListModelEvaluationSlicesRequest) GetParent 

func (x *ListModelEvaluationSlicesRequest) GetParent() string

func (*ListModelEvaluationSlicesRequest) GetReadMask 

func (x *ListModelEvaluationSlicesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelEvaluationSlicesRequest) ProtoMessage 

func (*ListModelEvaluationSlicesRequest) ProtoMessage()

func (*ListModelEvaluationSlicesRequest) ProtoReflect 

func (x *ListModelEvaluationSlicesRequest) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationSlicesRequest) Reset 

func (x *ListModelEvaluationSlicesRequest) Reset()

func (*ListModelEvaluationSlicesRequest) String 

func (x *ListModelEvaluationSlicesRequest) String() string

type ListModelEvaluationSlicesResponse 

type ListModelEvaluationSlicesResponse struct {

	// List of ModelEvaluations in the requested page.
	ModelEvaluationSlices []*ModelEvaluationSlice `` /* 126-byte string literal not displayed */
	// A token to retrieve next page of results.
	// Pass to [ListModelEvaluationSlicesRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesRequest.page_token] to obtain that
	// page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].

func (*ListModelEvaluationSlicesResponse) Descriptor deprecated 

func (*ListModelEvaluationSlicesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationSlicesResponse.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationSlicesResponse) GetModelEvaluationSlices 

func (x *ListModelEvaluationSlicesResponse) GetModelEvaluationSlices() []*ModelEvaluationSlice

func (*ListModelEvaluationSlicesResponse) GetNextPageToken 

func (x *ListModelEvaluationSlicesResponse) GetNextPageToken() string

func (*ListModelEvaluationSlicesResponse) ProtoMessage 

func (*ListModelEvaluationSlicesResponse) ProtoMessage()

func (*ListModelEvaluationSlicesResponse) ProtoReflect 

func (x *ListModelEvaluationSlicesResponse) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationSlicesResponse) Reset 

func (x *ListModelEvaluationSlicesResponse) Reset()

func (*ListModelEvaluationSlicesResponse) String 

func (x *ListModelEvaluationSlicesResponse) String() string

type ListModelEvaluationsRequest 

type ListModelEvaluationsRequest struct {

	// Required. The resource name of the Model to list the ModelEvaluations from.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
	// [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].

func (*ListModelEvaluationsRequest) Descriptor deprecated 

func (*ListModelEvaluationsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationsRequest.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationsRequest) GetFilter 

func (x *ListModelEvaluationsRequest) GetFilter() string

func (*ListModelEvaluationsRequest) GetPageSize 

func (x *ListModelEvaluationsRequest) GetPageSize() int32

func (*ListModelEvaluationsRequest) GetPageToken 

func (x *ListModelEvaluationsRequest) GetPageToken() string

func (*ListModelEvaluationsRequest) GetParent 

func (x *ListModelEvaluationsRequest) GetParent() string

func (*ListModelEvaluationsRequest) GetReadMask 

func (x *ListModelEvaluationsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelEvaluationsRequest) ProtoMessage 

func (*ListModelEvaluationsRequest) ProtoMessage()

func (*ListModelEvaluationsRequest) ProtoReflect 

func (x *ListModelEvaluationsRequest) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationsRequest) Reset 

func (x *ListModelEvaluationsRequest) Reset()

func (*ListModelEvaluationsRequest) String 

func (x *ListModelEvaluationsRequest) String() string

type ListModelEvaluationsResponse 

type ListModelEvaluationsResponse struct {

	// List of ModelEvaluations in the requested page.
	ModelEvaluations []*ModelEvaluation `protobuf:"bytes,1,rep,name=model_evaluations,json=modelEvaluations,proto3" json:"model_evaluations,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListModelEvaluationsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].

func (*ListModelEvaluationsResponse) Descriptor deprecated 

func (*ListModelEvaluationsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelEvaluationsResponse.ProtoReflect.Descriptor instead.

func (*ListModelEvaluationsResponse) GetModelEvaluations 

func (x *ListModelEvaluationsResponse) GetModelEvaluations() []*ModelEvaluation

func (*ListModelEvaluationsResponse) GetNextPageToken 

func (x *ListModelEvaluationsResponse) GetNextPageToken() string

func (*ListModelEvaluationsResponse) ProtoMessage 

func (*ListModelEvaluationsResponse) ProtoMessage()

func (*ListModelEvaluationsResponse) ProtoReflect 

func (x *ListModelEvaluationsResponse) ProtoReflect() protoreflect.Message

func (*ListModelEvaluationsResponse) Reset 

func (x *ListModelEvaluationsResponse) Reset()

func (*ListModelEvaluationsResponse) String 

func (x *ListModelEvaluationsResponse) String() string

type ListModelsRequest 

type ListModelsRequest struct {

	// Required. The resource name of the Location to list the Models from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request. For field names
	// both snake_case and camelCase are supported.
	//
	//   * `model` supports = and !=. `model` represents the Model ID,
	//     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
	//   * `display_name` supports = and !=
	//   * `labels` supports general map functions that is:
	//     * `labels.key=value` - key:value equality
	//     * `labels.key:* or labels:key - key existence
	//     * A key including a space must be quoted. `labels."a key"`.
	//
	// Some examples:
	//   * `model=1234`
	//   * `displayName="myDisplayName"`
	//   * `labels.myKey="myValue"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
	// [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].

func (*ListModelsRequest) Descriptor deprecated 

func (*ListModelsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListModelsRequest.ProtoReflect.Descriptor instead.

func (*ListModelsRequest) GetFilter 

func (x *ListModelsRequest) GetFilter() string

func (*ListModelsRequest) GetPageSize 

func (x *ListModelsRequest) GetPageSize() int32

func (*ListModelsRequest) GetPageToken 

func (x *ListModelsRequest) GetPageToken() string

func (*ListModelsRequest) GetParent 

func (x *ListModelsRequest) GetParent() string

func (*ListModelsRequest) GetReadMask 

func (x *ListModelsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListModelsRequest) ProtoMessage 

func (*ListModelsRequest) ProtoMessage()

func (*ListModelsRequest) ProtoReflect 

func (x *ListModelsRequest) ProtoReflect() protoreflect.Message

func (*ListModelsRequest) Reset 

func (x *ListModelsRequest) Reset()

func (*ListModelsRequest) String 

func (x *ListModelsRequest) String() string

type ListModelsResponse 

type ListModelsResponse struct {

	// List of Models in the requested page.
	Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListModelsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelsRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]

func (*ListModelsResponse) Descriptor deprecated 

func (*ListModelsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListModelsResponse.ProtoReflect.Descriptor instead.

func (*ListModelsResponse) GetModels 

func (x *ListModelsResponse) GetModels() []*Model

func (*ListModelsResponse) GetNextPageToken 

func (x *ListModelsResponse) GetNextPageToken() string

func (*ListModelsResponse) ProtoMessage 

func (*ListModelsResponse) ProtoMessage()

func (*ListModelsResponse) ProtoReflect 

func (x *ListModelsResponse) ProtoReflect() protoreflect.Message

func (*ListModelsResponse) Reset 

func (x *ListModelsResponse) Reset()

func (*ListModelsResponse) String 

func (x *ListModelsResponse) String() string

type ListOptimalTrialsRequest 

type ListOptimalTrialsRequest struct {

	// Required. The name of the Study that the optimal Trial belongs to.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].

func (*ListOptimalTrialsRequest) Descriptor deprecated 

func (*ListOptimalTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListOptimalTrialsRequest.ProtoReflect.Descriptor instead.

func (*ListOptimalTrialsRequest) GetParent 

func (x *ListOptimalTrialsRequest) GetParent() string

func (*ListOptimalTrialsRequest) ProtoMessage 

func (*ListOptimalTrialsRequest) ProtoMessage()

func (*ListOptimalTrialsRequest) ProtoReflect 

func (x *ListOptimalTrialsRequest) ProtoReflect() protoreflect.Message

func (*ListOptimalTrialsRequest) Reset 

func (x *ListOptimalTrialsRequest) Reset()

func (*ListOptimalTrialsRequest) String 

func (x *ListOptimalTrialsRequest) String() string

type ListOptimalTrialsResponse 

type ListOptimalTrialsResponse struct {

	// The pareto-optimal Trials for multiple objective Study or the
	// optimal trial for single objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	OptimalTrials []*Trial `protobuf:"bytes,1,rep,name=optimal_trials,json=optimalTrials,proto3" json:"optimal_trials,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].

func (*ListOptimalTrialsResponse) Descriptor deprecated 

func (*ListOptimalTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListOptimalTrialsResponse.ProtoReflect.Descriptor instead.

func (*ListOptimalTrialsResponse) GetOptimalTrials 

func (x *ListOptimalTrialsResponse) GetOptimalTrials() []*Trial

func (*ListOptimalTrialsResponse) ProtoMessage 

func (*ListOptimalTrialsResponse) ProtoMessage()

func (*ListOptimalTrialsResponse) ProtoReflect 

func (x *ListOptimalTrialsResponse) ProtoReflect() protoreflect.Message

func (*ListOptimalTrialsResponse) Reset 

func (x *ListOptimalTrialsResponse) Reset()

func (*ListOptimalTrialsResponse) String 

func (x *ListOptimalTrialsResponse) String() string

type ListPipelineJobsRequest 

type ListPipelineJobsRequest struct {

	// Required. The resource name of the Location to list the PipelineJobs from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	// Supported fields:
	//
	// * `display_name` supports `=` and `!=`.
	// * `state` supports `=` and `!=`.
	//
	// The following examples demonstrate how to filter the list of PipelineJobs:
	//
	// * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
	// * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
	// * `NOT display_name="my_pipeline"`
	// * `state="PIPELINE_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListPipelineJobsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsResponse.next_page_token] of the previous
	// [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].

func (*ListPipelineJobsRequest) Descriptor deprecated 

func (*ListPipelineJobsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListPipelineJobsRequest.ProtoReflect.Descriptor instead.

func (*ListPipelineJobsRequest) GetFilter 

func (x *ListPipelineJobsRequest) GetFilter() string

func (*ListPipelineJobsRequest) GetPageSize 

func (x *ListPipelineJobsRequest) GetPageSize() int32

func (*ListPipelineJobsRequest) GetPageToken 

func (x *ListPipelineJobsRequest) GetPageToken() string

func (*ListPipelineJobsRequest) GetParent 

func (x *ListPipelineJobsRequest) GetParent() string

func (*ListPipelineJobsRequest) ProtoMessage 

func (*ListPipelineJobsRequest) ProtoMessage()

func (*ListPipelineJobsRequest) ProtoReflect 

func (x *ListPipelineJobsRequest) ProtoReflect() protoreflect.Message

func (*ListPipelineJobsRequest) Reset 

func (x *ListPipelineJobsRequest) Reset()

func (*ListPipelineJobsRequest) String 

func (x *ListPipelineJobsRequest) String() string

type ListPipelineJobsResponse 

type ListPipelineJobsResponse struct {

	// List of PipelineJobs in the requested page.
	PipelineJobs []*PipelineJob `protobuf:"bytes,1,rep,name=pipeline_jobs,json=pipelineJobs,proto3" json:"pipeline_jobs,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListPipelineJobsRequest.page_token][google.cloud.aiplatform.v1beta1.ListPipelineJobsRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]

func (*ListPipelineJobsResponse) Descriptor deprecated 

func (*ListPipelineJobsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListPipelineJobsResponse.ProtoReflect.Descriptor instead.

func (*ListPipelineJobsResponse) GetNextPageToken 

func (x *ListPipelineJobsResponse) GetNextPageToken() string

func (*ListPipelineJobsResponse) GetPipelineJobs 

func (x *ListPipelineJobsResponse) GetPipelineJobs() []*PipelineJob

func (*ListPipelineJobsResponse) ProtoMessage 

func (*ListPipelineJobsResponse) ProtoMessage()

func (*ListPipelineJobsResponse) ProtoReflect 

func (x *ListPipelineJobsResponse) ProtoReflect() protoreflect.Message

func (*ListPipelineJobsResponse) Reset 

func (x *ListPipelineJobsResponse) Reset()

func (*ListPipelineJobsResponse) String 

func (x *ListPipelineJobsResponse) String() string

type ListSpecialistPoolsRequest 

type ListSpecialistPoolsRequest struct {

	// Required. The name of the SpecialistPool's parent resource.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained by [ListSpecialistPoolsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListSpecialistPoolsResponse.next_page_token] of
	// the previous [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools] call. Return
	// first page if empty.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read. FieldMask represents a set of
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,4,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].

func (*ListSpecialistPoolsRequest) Descriptor deprecated 

func (*ListSpecialistPoolsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListSpecialistPoolsRequest.ProtoReflect.Descriptor instead.

func (*ListSpecialistPoolsRequest) GetPageSize 

func (x *ListSpecialistPoolsRequest) GetPageSize() int32

func (*ListSpecialistPoolsRequest) GetPageToken 

func (x *ListSpecialistPoolsRequest) GetPageToken() string

func (*ListSpecialistPoolsRequest) GetParent 

func (x *ListSpecialistPoolsRequest) GetParent() string

func (*ListSpecialistPoolsRequest) GetReadMask 

func (x *ListSpecialistPoolsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListSpecialistPoolsRequest) ProtoMessage 

func (*ListSpecialistPoolsRequest) ProtoMessage()

func (*ListSpecialistPoolsRequest) ProtoReflect 

func (x *ListSpecialistPoolsRequest) ProtoReflect() protoreflect.Message

func (*ListSpecialistPoolsRequest) Reset 

func (x *ListSpecialistPoolsRequest) Reset()

func (*ListSpecialistPoolsRequest) String 

func (x *ListSpecialistPoolsRequest) String() string

type ListSpecialistPoolsResponse 

type ListSpecialistPoolsResponse struct {

	// A list of SpecialistPools that matches the specified filter in the request.
	SpecialistPools []*SpecialistPool `protobuf:"bytes,1,rep,name=specialist_pools,json=specialistPools,proto3" json:"specialist_pools,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].

func (*ListSpecialistPoolsResponse) Descriptor deprecated 

func (*ListSpecialistPoolsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListSpecialistPoolsResponse.ProtoReflect.Descriptor instead.

func (*ListSpecialistPoolsResponse) GetNextPageToken 

func (x *ListSpecialistPoolsResponse) GetNextPageToken() string

func (*ListSpecialistPoolsResponse) GetSpecialistPools 

func (x *ListSpecialistPoolsResponse) GetSpecialistPools() []*SpecialistPool

func (*ListSpecialistPoolsResponse) ProtoMessage 

func (*ListSpecialistPoolsResponse) ProtoMessage()

func (*ListSpecialistPoolsResponse) ProtoReflect 

func (x *ListSpecialistPoolsResponse) ProtoReflect() protoreflect.Message

func (*ListSpecialistPoolsResponse) Reset 

func (x *ListSpecialistPoolsResponse) Reset()

func (*ListSpecialistPoolsResponse) String 

func (x *ListSpecialistPoolsResponse) String() string

type ListStudiesRequest 

type ListStudiesRequest struct {

	// Required. The resource name of the Location to list the Study from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. A page token to request the next page of results.
	// If unspecified, there are no subsequent pages.
	PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. The maximum number of studies to return per "page" of results.
	// If unspecified, service will pick an appropriate default.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].

func (*ListStudiesRequest) Descriptor deprecated 

func (*ListStudiesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListStudiesRequest.ProtoReflect.Descriptor instead.

func (*ListStudiesRequest) GetPageSize 

func (x *ListStudiesRequest) GetPageSize() int32

func (*ListStudiesRequest) GetPageToken 

func (x *ListStudiesRequest) GetPageToken() string

func (*ListStudiesRequest) GetParent 

func (x *ListStudiesRequest) GetParent() string

func (*ListStudiesRequest) ProtoMessage 

func (*ListStudiesRequest) ProtoMessage()

func (*ListStudiesRequest) ProtoReflect 

func (x *ListStudiesRequest) ProtoReflect() protoreflect.Message

func (*ListStudiesRequest) Reset 

func (x *ListStudiesRequest) Reset()

func (*ListStudiesRequest) String 

func (x *ListStudiesRequest) String() string

type ListStudiesResponse 

type ListStudiesResponse struct {

	// The studies associated with the project.
	Studies []*Study `protobuf:"bytes,1,rep,name=studies,proto3" json:"studies,omitempty"`
	// Passes this token as the `page_token` field of the request for a
	// subsequent call.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].

func (*ListStudiesResponse) Descriptor deprecated 

func (*ListStudiesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListStudiesResponse.ProtoReflect.Descriptor instead.

func (*ListStudiesResponse) GetNextPageToken 

func (x *ListStudiesResponse) GetNextPageToken() string

func (*ListStudiesResponse) GetStudies 

func (x *ListStudiesResponse) GetStudies() []*Study

func (*ListStudiesResponse) ProtoMessage 

func (*ListStudiesResponse) ProtoMessage()

func (*ListStudiesResponse) ProtoReflect 

func (x *ListStudiesResponse) ProtoReflect() protoreflect.Message

func (*ListStudiesResponse) Reset 

func (x *ListStudiesResponse) Reset()

func (*ListStudiesResponse) String 

func (x *ListStudiesResponse) String() string

type ListTensorboardExperimentsRequest 

type ListTensorboardExperimentsRequest struct {

	// Required. The resource name of the Tensorboard to list TensorboardExperiments.
	// Format:
	// 'projects/{project}/locations/{location}/tensorboards/{tensorboard}'
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardExperiments that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardExperiments to return. The service may
	// return fewer than this value. If unspecified, at most 50
	// TensorboardExperiments will be returned. The maximum value is 1000; values
	// above 1000 will be coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].

func (*ListTensorboardExperimentsRequest) Descriptor deprecated 

func (*ListTensorboardExperimentsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardExperimentsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardExperimentsRequest) GetFilter 

func (x *ListTensorboardExperimentsRequest) GetFilter() string

func (*ListTensorboardExperimentsRequest) GetOrderBy 

func (x *ListTensorboardExperimentsRequest) GetOrderBy() string

func (*ListTensorboardExperimentsRequest) GetPageSize 

func (x *ListTensorboardExperimentsRequest) GetPageSize() int32

func (*ListTensorboardExperimentsRequest) GetPageToken 

func (x *ListTensorboardExperimentsRequest) GetPageToken() string

func (*ListTensorboardExperimentsRequest) GetParent 

func (x *ListTensorboardExperimentsRequest) GetParent() string

func (*ListTensorboardExperimentsRequest) GetReadMask 

func (x *ListTensorboardExperimentsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardExperimentsRequest) ProtoMessage 

func (*ListTensorboardExperimentsRequest) ProtoMessage()

func (*ListTensorboardExperimentsRequest) ProtoReflect 

func (x *ListTensorboardExperimentsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardExperimentsRequest) Reset 

func (x *ListTensorboardExperimentsRequest) Reset()

func (*ListTensorboardExperimentsRequest) String 

func (x *ListTensorboardExperimentsRequest) String() string

type ListTensorboardExperimentsResponse 

type ListTensorboardExperimentsResponse struct {

	// The TensorboardExperiments mathching the request.
	TensorboardExperiments []*TensorboardExperiment `` /* 127-byte string literal not displayed */
	// A token, which can be sent as
	// [ListTensorboardExperimentsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardExperimentsRequest.page_token] to retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].

func (*ListTensorboardExperimentsResponse) Descriptor deprecated 

func (*ListTensorboardExperimentsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardExperimentsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardExperimentsResponse) GetNextPageToken 

func (x *ListTensorboardExperimentsResponse) GetNextPageToken() string

func (*ListTensorboardExperimentsResponse) GetTensorboardExperiments 

func (x *ListTensorboardExperimentsResponse) GetTensorboardExperiments() []*TensorboardExperiment

func (*ListTensorboardExperimentsResponse) ProtoMessage 

func (*ListTensorboardExperimentsResponse) ProtoMessage()

func (*ListTensorboardExperimentsResponse) ProtoReflect 

func (x *ListTensorboardExperimentsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardExperimentsResponse) Reset 

func (x *ListTensorboardExperimentsResponse) Reset()

func (*ListTensorboardExperimentsResponse) String 

func (x *ListTensorboardExperimentsResponse) String() string

type ListTensorboardRunsRequest 

type ListTensorboardRunsRequest struct {

	// Required. The resource name of the Tensorboard to list TensorboardRuns.
	// Format:
	// 'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}'
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardRuns that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardRuns to return. The service may return
	// fewer than this value. If unspecified, at most 50 TensorboardRuns will be
	// returned. The maximum value is 1000; values above 1000 will be coerced to
	// 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].

func (*ListTensorboardRunsRequest) Descriptor deprecated 

func (*ListTensorboardRunsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardRunsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardRunsRequest) GetFilter 

func (x *ListTensorboardRunsRequest) GetFilter() string

func (*ListTensorboardRunsRequest) GetOrderBy 

func (x *ListTensorboardRunsRequest) GetOrderBy() string

func (*ListTensorboardRunsRequest) GetPageSize 

func (x *ListTensorboardRunsRequest) GetPageSize() int32

func (*ListTensorboardRunsRequest) GetPageToken 

func (x *ListTensorboardRunsRequest) GetPageToken() string

func (*ListTensorboardRunsRequest) GetParent 

func (x *ListTensorboardRunsRequest) GetParent() string

func (*ListTensorboardRunsRequest) GetReadMask 

func (x *ListTensorboardRunsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardRunsRequest) ProtoMessage 

func (*ListTensorboardRunsRequest) ProtoMessage()

func (*ListTensorboardRunsRequest) ProtoReflect 

func (x *ListTensorboardRunsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardRunsRequest) Reset 

func (x *ListTensorboardRunsRequest) Reset()

func (*ListTensorboardRunsRequest) String 

func (x *ListTensorboardRunsRequest) String() string

type ListTensorboardRunsResponse 

type ListTensorboardRunsResponse struct {

	// The TensorboardRuns mathching the request.
	TensorboardRuns []*TensorboardRun `protobuf:"bytes,1,rep,name=tensorboard_runs,json=tensorboardRuns,proto3" json:"tensorboard_runs,omitempty"`
	// A token, which can be sent as [ListTensorboardRunsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardRunsRequest.page_token] to
	// retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].

func (*ListTensorboardRunsResponse) Descriptor deprecated 

func (*ListTensorboardRunsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardRunsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardRunsResponse) GetNextPageToken 

func (x *ListTensorboardRunsResponse) GetNextPageToken() string

func (*ListTensorboardRunsResponse) GetTensorboardRuns 

func (x *ListTensorboardRunsResponse) GetTensorboardRuns() []*TensorboardRun

func (*ListTensorboardRunsResponse) ProtoMessage 

func (*ListTensorboardRunsResponse) ProtoMessage()

func (*ListTensorboardRunsResponse) ProtoReflect 

func (x *ListTensorboardRunsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardRunsResponse) Reset 

func (x *ListTensorboardRunsResponse) Reset()

func (*ListTensorboardRunsResponse) String 

func (x *ListTensorboardRunsResponse) String() string

type ListTensorboardTimeSeriesRequest 

type ListTensorboardTimeSeriesRequest struct {

	// Required. The resource name of the TensorboardRun to list TensorboardTimeSeries.
	// Format:
	// 'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}'
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the TensorboardTimeSeries that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of TensorboardTimeSeries to return. The service may
	// return fewer than this value. If unspecified, at most 50
	// TensorboardTimeSeries will be returned. The maximum value is 1000; values
	// above 1000 will be coerced to 1000.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].

func (*ListTensorboardTimeSeriesRequest) Descriptor deprecated 

func (*ListTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardTimeSeriesRequest) GetFilter 

func (x *ListTensorboardTimeSeriesRequest) GetFilter() string

func (*ListTensorboardTimeSeriesRequest) GetOrderBy 

func (x *ListTensorboardTimeSeriesRequest) GetOrderBy() string

func (*ListTensorboardTimeSeriesRequest) GetPageSize 

func (x *ListTensorboardTimeSeriesRequest) GetPageSize() int32

func (*ListTensorboardTimeSeriesRequest) GetPageToken 

func (x *ListTensorboardTimeSeriesRequest) GetPageToken() string

func (*ListTensorboardTimeSeriesRequest) GetParent 

func (x *ListTensorboardTimeSeriesRequest) GetParent() string

func (*ListTensorboardTimeSeriesRequest) GetReadMask 

func (x *ListTensorboardTimeSeriesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardTimeSeriesRequest) ProtoMessage 

func (*ListTensorboardTimeSeriesRequest) ProtoMessage()

func (*ListTensorboardTimeSeriesRequest) ProtoReflect 

func (x *ListTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardTimeSeriesRequest) Reset 

func (x *ListTensorboardTimeSeriesRequest) Reset()

func (*ListTensorboardTimeSeriesRequest) String 

func (x *ListTensorboardTimeSeriesRequest) String() string

type ListTensorboardTimeSeriesResponse 

type ListTensorboardTimeSeriesResponse struct {

	// The TensorboardTimeSeries mathching the request.
	TensorboardTimeSeries []*TensorboardTimeSeries `` /* 126-byte string literal not displayed */
	// A token, which can be sent as
	// [ListTensorboardTimeSeriesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardTimeSeriesRequest.page_token] to retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].

func (*ListTensorboardTimeSeriesResponse) Descriptor deprecated 

func (*ListTensorboardTimeSeriesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardTimeSeriesResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardTimeSeriesResponse) GetNextPageToken 

func (x *ListTensorboardTimeSeriesResponse) GetNextPageToken() string

func (*ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries 

func (x *ListTensorboardTimeSeriesResponse) GetTensorboardTimeSeries() []*TensorboardTimeSeries

func (*ListTensorboardTimeSeriesResponse) ProtoMessage 

func (*ListTensorboardTimeSeriesResponse) ProtoMessage()

func (*ListTensorboardTimeSeriesResponse) ProtoReflect 

func (x *ListTensorboardTimeSeriesResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardTimeSeriesResponse) Reset 

func (x *ListTensorboardTimeSeriesResponse) Reset()

func (*ListTensorboardTimeSeriesResponse) String 

func (x *ListTensorboardTimeSeriesResponse) String() string

type ListTensorboardsRequest 

type ListTensorboardsRequest struct {

	// Required. The resource name of the Location to list Tensorboards.
	// Format:
	// 'projects/{project}/locations/{location}'
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Lists the Tensorboards that match the filter expression.
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The maximum number of Tensorboards to return. The service may return
	// fewer than this value. If unspecified, at most 100 Tensorboards will be
	// returned. The maximum value is 100; values above 100 will be coerced to
	// 100.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards] must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Field to use to sort the list.
	OrderBy string `protobuf:"bytes,5,opt,name=order_by,json=orderBy,proto3" json:"order_by,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,6,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].

func (*ListTensorboardsRequest) Descriptor deprecated 

func (*ListTensorboardsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardsRequest.ProtoReflect.Descriptor instead.

func (*ListTensorboardsRequest) GetFilter 

func (x *ListTensorboardsRequest) GetFilter() string

func (*ListTensorboardsRequest) GetOrderBy 

func (x *ListTensorboardsRequest) GetOrderBy() string

func (*ListTensorboardsRequest) GetPageSize 

func (x *ListTensorboardsRequest) GetPageSize() int32

func (*ListTensorboardsRequest) GetPageToken 

func (x *ListTensorboardsRequest) GetPageToken() string

func (*ListTensorboardsRequest) GetParent 

func (x *ListTensorboardsRequest) GetParent() string

func (*ListTensorboardsRequest) GetReadMask 

func (x *ListTensorboardsRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTensorboardsRequest) ProtoMessage 

func (*ListTensorboardsRequest) ProtoMessage()

func (*ListTensorboardsRequest) ProtoReflect 

func (x *ListTensorboardsRequest) ProtoReflect() protoreflect.Message

func (*ListTensorboardsRequest) Reset 

func (x *ListTensorboardsRequest) Reset()

func (*ListTensorboardsRequest) String 

func (x *ListTensorboardsRequest) String() string

type ListTensorboardsResponse 

type ListTensorboardsResponse struct {

	// The Tensorboards mathching the request.
	Tensorboards []*Tensorboard `protobuf:"bytes,1,rep,name=tensorboards,proto3" json:"tensorboards,omitempty"`
	// A token, which can be sent as [ListTensorboardsRequest.page_token][google.cloud.aiplatform.v1beta1.ListTensorboardsRequest.page_token]
	// to retrieve the next page. If this field is omitted, there are no
	// subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].

func (*ListTensorboardsResponse) Descriptor deprecated 

func (*ListTensorboardsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTensorboardsResponse.ProtoReflect.Descriptor instead.

func (*ListTensorboardsResponse) GetNextPageToken 

func (x *ListTensorboardsResponse) GetNextPageToken() string

func (*ListTensorboardsResponse) GetTensorboards 

func (x *ListTensorboardsResponse) GetTensorboards() []*Tensorboard

func (*ListTensorboardsResponse) ProtoMessage 

func (*ListTensorboardsResponse) ProtoMessage()

func (*ListTensorboardsResponse) ProtoReflect 

func (x *ListTensorboardsResponse) ProtoReflect() protoreflect.Message

func (*ListTensorboardsResponse) Reset 

func (x *ListTensorboardsResponse) Reset()

func (*ListTensorboardsResponse) String 

func (x *ListTensorboardsResponse) String() string

type ListTrainingPipelinesRequest 

type ListTrainingPipelinesRequest struct {

	// Required. The resource name of the Location to list the TrainingPipelines from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	// Supported fields:
	//
	//   * `display_name` supports = and !=.
	//
	//   * `state` supports = and !=.
	//
	// Some examples of using the filter are:
	//
	//  * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
	//
	//  * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
	//
	//  * `NOT display_name="my_pipeline"`
	//
	//  * `state="PIPELINE_STATE_FAILED"`
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	// Typically obtained via
	// [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
	// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].

func (*ListTrainingPipelinesRequest) Descriptor deprecated 

func (*ListTrainingPipelinesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTrainingPipelinesRequest.ProtoReflect.Descriptor instead.

func (*ListTrainingPipelinesRequest) GetFilter 

func (x *ListTrainingPipelinesRequest) GetFilter() string

func (*ListTrainingPipelinesRequest) GetPageSize 

func (x *ListTrainingPipelinesRequest) GetPageSize() int32

func (*ListTrainingPipelinesRequest) GetPageToken 

func (x *ListTrainingPipelinesRequest) GetPageToken() string

func (*ListTrainingPipelinesRequest) GetParent 

func (x *ListTrainingPipelinesRequest) GetParent() string

func (*ListTrainingPipelinesRequest) GetReadMask 

func (x *ListTrainingPipelinesRequest) GetReadMask() *fieldmaskpb.FieldMask

func (*ListTrainingPipelinesRequest) ProtoMessage 

func (*ListTrainingPipelinesRequest) ProtoMessage()

func (*ListTrainingPipelinesRequest) ProtoReflect 

func (x *ListTrainingPipelinesRequest) ProtoReflect() protoreflect.Message

func (*ListTrainingPipelinesRequest) Reset 

func (x *ListTrainingPipelinesRequest) Reset()

func (*ListTrainingPipelinesRequest) String 

func (x *ListTrainingPipelinesRequest) String() string

type ListTrainingPipelinesResponse 

type ListTrainingPipelinesResponse struct {

	// List of TrainingPipelines in the requested page.
	TrainingPipelines []*TrainingPipeline `protobuf:"bytes,1,rep,name=training_pipelines,json=trainingPipelines,proto3" json:"training_pipelines,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]

func (*ListTrainingPipelinesResponse) Descriptor deprecated 

func (*ListTrainingPipelinesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTrainingPipelinesResponse.ProtoReflect.Descriptor instead.

func (*ListTrainingPipelinesResponse) GetNextPageToken 

func (x *ListTrainingPipelinesResponse) GetNextPageToken() string

func (*ListTrainingPipelinesResponse) GetTrainingPipelines 

func (x *ListTrainingPipelinesResponse) GetTrainingPipelines() []*TrainingPipeline

func (*ListTrainingPipelinesResponse) ProtoMessage 

func (*ListTrainingPipelinesResponse) ProtoMessage()

func (*ListTrainingPipelinesResponse) ProtoReflect 

func (x *ListTrainingPipelinesResponse) ProtoReflect() protoreflect.Message

func (*ListTrainingPipelinesResponse) Reset 

func (x *ListTrainingPipelinesResponse) Reset()

func (*ListTrainingPipelinesResponse) String 

func (x *ListTrainingPipelinesResponse) String() string

type ListTrialsRequest 

type ListTrialsRequest struct {

	// Required. The resource name of the Study to list the Trial from.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Optional. A page token to request the next page of results.
	// If unspecified, there are no subsequent pages.
	PageToken string `protobuf:"bytes,2,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Optional. The number of Trials to retrieve per "page" of results.
	// If unspecified, the service will pick an appropriate default.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].

func (*ListTrialsRequest) Descriptor deprecated 

func (*ListTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use ListTrialsRequest.ProtoReflect.Descriptor instead.

func (*ListTrialsRequest) GetPageSize 

func (x *ListTrialsRequest) GetPageSize() int32

func (*ListTrialsRequest) GetPageToken 

func (x *ListTrialsRequest) GetPageToken() string

func (*ListTrialsRequest) GetParent 

func (x *ListTrialsRequest) GetParent() string

func (*ListTrialsRequest) ProtoMessage 

func (*ListTrialsRequest) ProtoMessage()

func (*ListTrialsRequest) ProtoReflect 

func (x *ListTrialsRequest) ProtoReflect() protoreflect.Message

func (*ListTrialsRequest) Reset 

func (x *ListTrialsRequest) Reset()

func (*ListTrialsRequest) String 

func (x *ListTrialsRequest) String() string

type ListTrialsResponse 

type ListTrialsResponse struct {

	// The Trials associated with the Study.
	Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`
	// Pass this token as the `page_token` field of the request for a
	// subsequent call.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].

func (*ListTrialsResponse) Descriptor deprecated 

func (*ListTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use ListTrialsResponse.ProtoReflect.Descriptor instead.

func (*ListTrialsResponse) GetNextPageToken 

func (x *ListTrialsResponse) GetNextPageToken() string

func (*ListTrialsResponse) GetTrials 

func (x *ListTrialsResponse) GetTrials() []*Trial

func (*ListTrialsResponse) ProtoMessage 

func (*ListTrialsResponse) ProtoMessage()

func (*ListTrialsResponse) ProtoReflect 

func (x *ListTrialsResponse) ProtoReflect() protoreflect.Message

func (*ListTrialsResponse) Reset 

func (x *ListTrialsResponse) Reset()

func (*ListTrialsResponse) String 

func (x *ListTrialsResponse) String() string

type LookupStudyRequest 

type LookupStudyRequest struct {

	// Required. The resource name of the Location to get the Study from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The user-defined display name of the Study
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].

func (*LookupStudyRequest) Descriptor deprecated 

func (*LookupStudyRequest) Descriptor() ([]byte, []int)

Deprecated: Use LookupStudyRequest.ProtoReflect.Descriptor instead.

func (*LookupStudyRequest) GetDisplayName 

func (x *LookupStudyRequest) GetDisplayName() string

func (*LookupStudyRequest) GetParent 

func (x *LookupStudyRequest) GetParent() string

func (*LookupStudyRequest) ProtoMessage 

func (*LookupStudyRequest) ProtoMessage()

func (*LookupStudyRequest) ProtoReflect 

func (x *LookupStudyRequest) ProtoReflect() protoreflect.Message

func (*LookupStudyRequest) Reset 

func (x *LookupStudyRequest) Reset()

func (*LookupStudyRequest) String 

func (x *LookupStudyRequest) String() string

type MachineSpec 

type MachineSpec struct {

	// Immutable. The type of the machine.
	//
	// See the [list of machine types supported for
	// prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
	//
	// See the [list of machine types supported for custom
	// training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
	//
	// For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
	// value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
	// [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
	MachineType string `protobuf:"bytes,1,opt,name=machine_type,json=machineType,proto3" json:"machine_type,omitempty"`
	// Immutable. The type of accelerator(s) that may be attached to the machine as per
	// [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
	AcceleratorType AcceleratorType `` /* 160-byte string literal not displayed */
	// The number of accelerators to attach to the machine.
	AcceleratorCount int32 `protobuf:"varint,3,opt,name=accelerator_count,json=acceleratorCount,proto3" json:"accelerator_count,omitempty"`
	// contains filtered or unexported fields
}

Specification of a single machine.

func (*MachineSpec) Descriptor deprecated 

func (*MachineSpec) Descriptor() ([]byte, []int)

Deprecated: Use MachineSpec.ProtoReflect.Descriptor instead.

func (*MachineSpec) GetAcceleratorCount 

func (x *MachineSpec) GetAcceleratorCount() int32

func (*MachineSpec) GetAcceleratorType 

func (x *MachineSpec) GetAcceleratorType() AcceleratorType

func (*MachineSpec) GetMachineType 

func (x *MachineSpec) GetMachineType() string

func (*MachineSpec) ProtoMessage 

func (*MachineSpec) ProtoMessage()

func (*MachineSpec) ProtoReflect 

func (x *MachineSpec) ProtoReflect() protoreflect.Message

func (*MachineSpec) Reset 

func (x *MachineSpec) Reset()

func (*MachineSpec) String 

func (x *MachineSpec) String() string

type ManualBatchTuningParameters 

type ManualBatchTuningParameters struct {

	// Immutable. The number of the records (e.g. instances) of the operation given in
	// each batch to a machine replica. Machine type, and size of a single
	// record should be considered when setting this parameter, higher value
	// speeds up the batch operation's execution, but too high value will result
	// in a whole batch not fitting in a machine's memory, and the whole
	// operation will fail.
	// The default value is 4.
	BatchSize int32 `protobuf:"varint,1,opt,name=batch_size,json=batchSize,proto3" json:"batch_size,omitempty"`
	// contains filtered or unexported fields
}

Manual batch tuning parameters.

func (*ManualBatchTuningParameters) Descriptor deprecated 

func (*ManualBatchTuningParameters) Descriptor() ([]byte, []int)

Deprecated: Use ManualBatchTuningParameters.ProtoReflect.Descriptor instead.

func (*ManualBatchTuningParameters) GetBatchSize 

func (x *ManualBatchTuningParameters) GetBatchSize() int32

func (*ManualBatchTuningParameters) ProtoMessage 

func (*ManualBatchTuningParameters) ProtoMessage()

func (*ManualBatchTuningParameters) ProtoReflect 

func (x *ManualBatchTuningParameters) ProtoReflect() protoreflect.Message

func (*ManualBatchTuningParameters) Reset 

func (x *ManualBatchTuningParameters) Reset()

func (*ManualBatchTuningParameters) String 

func (x *ManualBatchTuningParameters) String() string

type Measurement 

type Measurement struct {

	// Output only. Time that the Trial has been running at the point of this Measurement.
	ElapsedDuration *durationpb.Duration `protobuf:"bytes,1,opt,name=elapsed_duration,json=elapsedDuration,proto3" json:"elapsed_duration,omitempty"`
	// Output only. The number of steps the machine learning model has been trained for.
	// Must be non-negative.
	StepCount int64 `protobuf:"varint,2,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Output only. A list of metrics got by evaluating the objective functions using suggested
	// Parameter values.
	Metrics []*Measurement_Metric `protobuf:"bytes,3,rep,name=metrics,proto3" json:"metrics,omitempty"`
	// contains filtered or unexported fields
}

A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.

func (*Measurement) Descriptor deprecated 

func (*Measurement) Descriptor() ([]byte, []int)

Deprecated: Use Measurement.ProtoReflect.Descriptor instead.

func (*Measurement) GetElapsedDuration 

func (x *Measurement) GetElapsedDuration() *durationpb.Duration

func (*Measurement) GetMetrics 

func (x *Measurement) GetMetrics() []*Measurement_Metric

func (*Measurement) GetStepCount 

func (x *Measurement) GetStepCount() int64

func (*Measurement) ProtoMessage 

func (*Measurement) ProtoMessage()

func (*Measurement) ProtoReflect 

func (x *Measurement) ProtoReflect() protoreflect.Message

func (*Measurement) Reset 

func (x *Measurement) Reset()

func (*Measurement) String 

func (x *Measurement) String() string

type Measurement_Metric 

type Measurement_Metric struct {

	// Output only. The ID of the Metric. The Metric should be defined in
	// [StudySpec's Metrics][google.cloud.aiplatform.v1beta1.StudySpec.metrics].
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
	// Output only. The value for this metric.
	Value float64 `protobuf:"fixed64,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

A message representing a metric in the measurement.

func (*Measurement_Metric) Descriptor deprecated 

func (*Measurement_Metric) Descriptor() ([]byte, []int)

Deprecated: Use Measurement_Metric.ProtoReflect.Descriptor instead.

func (*Measurement_Metric) GetMetricId 

func (x *Measurement_Metric) GetMetricId() string

func (*Measurement_Metric) GetValue 

func (x *Measurement_Metric) GetValue() float64

func (*Measurement_Metric) ProtoMessage 

func (*Measurement_Metric) ProtoMessage()

func (*Measurement_Metric) ProtoReflect 

func (x *Measurement_Metric) ProtoReflect() protoreflect.Message

func (*Measurement_Metric) Reset 

func (x *Measurement_Metric) Reset()

func (*Measurement_Metric) String 

func (x *Measurement_Metric) String() string

type MetadataSchema 

type MetadataSchema struct {

	// Output only. The resource name of the MetadataSchema.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The version of the MetadataSchema. The version's format must match
	// the following regular expression: `^[0-9]+[.][0-9]+[.][0-9]+$`, which would
	// allow to order/compare different versions.Example: 1.0.0, 1.0.1, etc.
	SchemaVersion string `protobuf:"bytes,2,opt,name=schema_version,json=schemaVersion,proto3" json:"schema_version,omitempty"`
	// Required. The raw YAML string representation of the MetadataSchema. The combination
	// of [MetadataSchema.version] and the schema name given by `title` in
	// [MetadataSchema.schema] must be unique within a MetadataStore.
	//
	// The schema is defined as an OpenAPI 3.0.2
	// [MetadataSchema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#schemaObject)
	Schema string `protobuf:"bytes,3,opt,name=schema,proto3" json:"schema,omitempty"`
	// The type of the MetadataSchema. This is a property that identifies which
	// metadata types will use the MetadataSchema.
	SchemaType MetadataSchema_MetadataSchemaType `` /* 163-byte string literal not displayed */
	// Output only. Timestamp when this MetadataSchema was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Description of the Metadata Schema
	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
	// contains filtered or unexported fields
}

Instance of a general MetadataSchema.

func (*MetadataSchema) Descriptor deprecated 

func (*MetadataSchema) Descriptor() ([]byte, []int)

Deprecated: Use MetadataSchema.ProtoReflect.Descriptor instead.

func (*MetadataSchema) GetCreateTime 

func (x *MetadataSchema) GetCreateTime() *timestamppb.Timestamp

func (*MetadataSchema) GetDescription 

func (x *MetadataSchema) GetDescription() string

func (*MetadataSchema) GetName 

func (x *MetadataSchema) GetName() string

func (*MetadataSchema) GetSchema 

func (x *MetadataSchema) GetSchema() string

func (*MetadataSchema) GetSchemaType 

func (x *MetadataSchema) GetSchemaType() MetadataSchema_MetadataSchemaType

func (*MetadataSchema) GetSchemaVersion 

func (x *MetadataSchema) GetSchemaVersion() string

func (*MetadataSchema) ProtoMessage 

func (*MetadataSchema) ProtoMessage()

func (*MetadataSchema) ProtoReflect 

func (x *MetadataSchema) ProtoReflect() protoreflect.Message

func (*MetadataSchema) Reset 

func (x *MetadataSchema) Reset()

func (*MetadataSchema) String 

func (x *MetadataSchema) String() string

type MetadataSchema_MetadataSchemaType 

type MetadataSchema_MetadataSchemaType int32

Describes the type of the MetadataSchema. 

const (
	// Unspecified type for the MetadataSchema.
	MetadataSchema_METADATA_SCHEMA_TYPE_UNSPECIFIED MetadataSchema_MetadataSchemaType = 0
	// A type indicating that the MetadataSchema will be used by Artifacts.
	MetadataSchema_ARTIFACT_TYPE MetadataSchema_MetadataSchemaType = 1
	// A typee indicating that the MetadataSchema will be used by Executions.
	MetadataSchema_EXECUTION_TYPE MetadataSchema_MetadataSchemaType = 2
	// A state indicating that the MetadataSchema will be used by Contexts.
	MetadataSchema_CONTEXT_TYPE MetadataSchema_MetadataSchemaType = 3
)

func (MetadataSchema_MetadataSchemaType) Descriptor 

func (MetadataSchema_MetadataSchemaType) Descriptor() protoreflect.EnumDescriptor

func (MetadataSchema_MetadataSchemaType) Enum 

func (x MetadataSchema_MetadataSchemaType) Enum() *MetadataSchema_MetadataSchemaType

func (MetadataSchema_MetadataSchemaType) EnumDescriptor deprecated 

func (MetadataSchema_MetadataSchemaType) EnumDescriptor() ([]byte, []int)

Deprecated: Use MetadataSchema_MetadataSchemaType.Descriptor instead.

func (MetadataSchema_MetadataSchemaType) Number 

func (x MetadataSchema_MetadataSchemaType) Number() protoreflect.EnumNumber

func (MetadataSchema_MetadataSchemaType) String 

func (x MetadataSchema_MetadataSchemaType) String() string

func (MetadataSchema_MetadataSchemaType) Type 

func (MetadataSchema_MetadataSchemaType) Type() protoreflect.EnumType

type MetadataServiceClient 

type MetadataServiceClient interface {
	// Initializes a MetadataStore, including allocation of resources.
	CreateMetadataStore(ctx context.Context, in *CreateMetadataStoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Retrieves a specific MetadataStore.
	GetMetadataStore(ctx context.Context, in *GetMetadataStoreRequest, opts ...grpc.CallOption) (*MetadataStore, error)
	// Lists MetadataStores for a Location.
	ListMetadataStores(ctx context.Context, in *ListMetadataStoresRequest, opts ...grpc.CallOption) (*ListMetadataStoresResponse, error)
	// Deletes a single MetadataStore.
	DeleteMetadataStore(ctx context.Context, in *DeleteMetadataStoreRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates an Artifact associated with a MetadataStore.
	CreateArtifact(ctx context.Context, in *CreateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Retrieves a specific Artifact.
	GetArtifact(ctx context.Context, in *GetArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Lists Artifacts in the MetadataStore.
	ListArtifacts(ctx context.Context, in *ListArtifactsRequest, opts ...grpc.CallOption) (*ListArtifactsResponse, error)
	// Updates a stored Artifact.
	UpdateArtifact(ctx context.Context, in *UpdateArtifactRequest, opts ...grpc.CallOption) (*Artifact, error)
	// Creates a Context associated with a MetadataStore.
	CreateContext(ctx context.Context, in *CreateContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Retrieves a specific Context.
	GetContext(ctx context.Context, in *GetContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Lists Contexts on the MetadataStore.
	ListContexts(ctx context.Context, in *ListContextsRequest, opts ...grpc.CallOption) (*ListContextsResponse, error)
	// Updates a stored Context.
	UpdateContext(ctx context.Context, in *UpdateContextRequest, opts ...grpc.CallOption) (*Context, error)
	// Deletes a stored Context.
	DeleteContext(ctx context.Context, in *DeleteContextRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Adds a set of Artifacts and Executions to a Context. If any of the
	// Artifacts or Executions have already been added to a Context, they are
	// simply skipped.
	AddContextArtifactsAndExecutions(ctx context.Context, in *AddContextArtifactsAndExecutionsRequest, opts ...grpc.CallOption) (*AddContextArtifactsAndExecutionsResponse, error)
	// Adds a set of Contexts as children to a parent Context. If any of the
	// child Contexts have already been added to the parent Context, they are
	// simply skipped. If this call would create a cycle or cause any Context to
	// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
	// error.
	AddContextChildren(ctx context.Context, in *AddContextChildrenRequest, opts ...grpc.CallOption) (*AddContextChildrenResponse, error)
	// Retrieves Artifacts and Executions within the specified Context, connected
	// by Event edges and returned as a LineageSubgraph.
	QueryContextLineageSubgraph(ctx context.Context, in *QueryContextLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
	// Creates an Execution associated with a MetadataStore.
	CreateExecution(ctx context.Context, in *CreateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Retrieves a specific Execution.
	GetExecution(ctx context.Context, in *GetExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Lists Executions in the MetadataStore.
	ListExecutions(ctx context.Context, in *ListExecutionsRequest, opts ...grpc.CallOption) (*ListExecutionsResponse, error)
	// Updates a stored Execution.
	UpdateExecution(ctx context.Context, in *UpdateExecutionRequest, opts ...grpc.CallOption) (*Execution, error)
	// Adds Events to the specified Execution. An Event indicates whether an
	// Artifact was used as an input or output for an Execution. If an Event
	// already exists between the Execution and the Artifact, the Event is
	// skipped.
	AddExecutionEvents(ctx context.Context, in *AddExecutionEventsRequest, opts ...grpc.CallOption) (*AddExecutionEventsResponse, error)
	// Obtains the set of input and output Artifacts for this Execution, in the
	// form of LineageSubgraph that also contains the Execution and connecting
	// Events.
	QueryExecutionInputsAndOutputs(ctx context.Context, in *QueryExecutionInputsAndOutputsRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
	// Creates a MetadataSchema.
	CreateMetadataSchema(ctx context.Context, in *CreateMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
	// Retrieves a specific MetadataSchema.
	GetMetadataSchema(ctx context.Context, in *GetMetadataSchemaRequest, opts ...grpc.CallOption) (*MetadataSchema, error)
	// Lists MetadataSchemas.
	ListMetadataSchemas(ctx context.Context, in *ListMetadataSchemasRequest, opts ...grpc.CallOption) (*ListMetadataSchemasResponse, error)
	// Retrieves lineage of an Artifact represented through Artifacts and
	// Executions connected by Event edges and returned as a LineageSubgraph.
	QueryArtifactLineageSubgraph(ctx context.Context, in *QueryArtifactLineageSubgraphRequest, opts ...grpc.CallOption) (*LineageSubgraph, error)
}

MetadataServiceClient is the client API for MetadataService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewMetadataServiceClient 

func NewMetadataServiceClient(cc grpc.ClientConnInterface) MetadataServiceClient

type MetadataServiceServer 

type MetadataServiceServer interface {
	// Initializes a MetadataStore, including allocation of resources.
	CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunning.Operation, error)
	// Retrieves a specific MetadataStore.
	GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)
	// Lists MetadataStores for a Location.
	ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)
	// Deletes a single MetadataStore.
	DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunning.Operation, error)
	// Creates an Artifact associated with a MetadataStore.
	CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)
	// Retrieves a specific Artifact.
	GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)
	// Lists Artifacts in the MetadataStore.
	ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)
	// Updates a stored Artifact.
	UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)
	// Creates a Context associated with a MetadataStore.
	CreateContext(context.Context, *CreateContextRequest) (*Context, error)
	// Retrieves a specific Context.
	GetContext(context.Context, *GetContextRequest) (*Context, error)
	// Lists Contexts on the MetadataStore.
	ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)
	// Updates a stored Context.
	UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)
	// Deletes a stored Context.
	DeleteContext(context.Context, *DeleteContextRequest) (*longrunning.Operation, error)
	// Adds a set of Artifacts and Executions to a Context. If any of the
	// Artifacts or Executions have already been added to a Context, they are
	// simply skipped.
	AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)
	// Adds a set of Contexts as children to a parent Context. If any of the
	// child Contexts have already been added to the parent Context, they are
	// simply skipped. If this call would create a cycle or cause any Context to
	// have more than 10 parents, the request will fail with an INVALID_ARGUMENT
	// error.
	AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)
	// Retrieves Artifacts and Executions within the specified Context, connected
	// by Event edges and returned as a LineageSubgraph.
	QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)
	// Creates an Execution associated with a MetadataStore.
	CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)
	// Retrieves a specific Execution.
	GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)
	// Lists Executions in the MetadataStore.
	ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)
	// Updates a stored Execution.
	UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)
	// Adds Events to the specified Execution. An Event indicates whether an
	// Artifact was used as an input or output for an Execution. If an Event
	// already exists between the Execution and the Artifact, the Event is
	// skipped.
	AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)
	// Obtains the set of input and output Artifacts for this Execution, in the
	// form of LineageSubgraph that also contains the Execution and connecting
	// Events.
	QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)
	// Creates a MetadataSchema.
	CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)
	// Retrieves a specific MetadataSchema.
	GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)
	// Lists MetadataSchemas.
	ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)
	// Retrieves lineage of an Artifact represented through Artifacts and
	// Executions connected by Event edges and returned as a LineageSubgraph.
	QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)
}

MetadataServiceServer is the server API for MetadataService service.

type MetadataStore 

type MetadataStore struct {

	// Output only. The resource name of the MetadataStore instance.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this MetadataStore was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this MetadataStore was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Customer-managed encryption key spec for a Metadata Store. If set, this
	// Metadata Store and all sub-resources of this Metadata Store are secured
	// using this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,5,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Description of the MetadataStore.
	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. State information of the MetadataStore.
	State *MetadataStore_MetadataStoreState `protobuf:"bytes,7,opt,name=state,proto3" json:"state,omitempty"`
	// contains filtered or unexported fields
}

Instance of a metadata store. Contains a set of metadata that can be queried.

func (*MetadataStore) Descriptor deprecated 

func (*MetadataStore) Descriptor() ([]byte, []int)

Deprecated: Use MetadataStore.ProtoReflect.Descriptor instead.

func (*MetadataStore) GetCreateTime 

func (x *MetadataStore) GetCreateTime() *timestamppb.Timestamp

func (*MetadataStore) GetDescription 

func (x *MetadataStore) GetDescription() string

func (*MetadataStore) GetEncryptionSpec 

func (x *MetadataStore) GetEncryptionSpec() *EncryptionSpec

func (*MetadataStore) GetName 

func (x *MetadataStore) GetName() string

func (*MetadataStore) GetState 

func (x *MetadataStore) GetState() *MetadataStore_MetadataStoreState

func (*MetadataStore) GetUpdateTime 

func (x *MetadataStore) GetUpdateTime() *timestamppb.Timestamp

func (*MetadataStore) ProtoMessage 

func (*MetadataStore) ProtoMessage()

func (*MetadataStore) ProtoReflect 

func (x *MetadataStore) ProtoReflect() protoreflect.Message

func (*MetadataStore) Reset 

func (x *MetadataStore) Reset()

func (*MetadataStore) String 

func (x *MetadataStore) String() string

type MetadataStore_MetadataStoreState 

type MetadataStore_MetadataStoreState struct {

	// The disk utilization of the MetadataStore in bytes.
	DiskUtilizationBytes int64 `protobuf:"varint,1,opt,name=disk_utilization_bytes,json=diskUtilizationBytes,proto3" json:"disk_utilization_bytes,omitempty"`
	// contains filtered or unexported fields
}

Represents state information for a MetadataStore.

func (*MetadataStore_MetadataStoreState) Descriptor deprecated 

func (*MetadataStore_MetadataStoreState) Descriptor() ([]byte, []int)

Deprecated: Use MetadataStore_MetadataStoreState.ProtoReflect.Descriptor instead.

func (*MetadataStore_MetadataStoreState) GetDiskUtilizationBytes 

func (x *MetadataStore_MetadataStoreState) GetDiskUtilizationBytes() int64

func (*MetadataStore_MetadataStoreState) ProtoMessage 

func (*MetadataStore_MetadataStoreState) ProtoMessage()

func (*MetadataStore_MetadataStoreState) ProtoReflect 

func (x *MetadataStore_MetadataStoreState) ProtoReflect() protoreflect.Message

func (*MetadataStore_MetadataStoreState) Reset 

func (x *MetadataStore_MetadataStoreState) Reset()

func (*MetadataStore_MetadataStoreState) String 

func (x *MetadataStore_MetadataStoreState) String() string

type MigratableResource 

type MigratableResource struct {

	// Types that are assignable to Resource:
	//	*MigratableResource_MlEngineModelVersion_
	//	*MigratableResource_AutomlModel_
	//	*MigratableResource_AutomlDataset_
	//	*MigratableResource_DataLabelingDataset_
	Resource isMigratableResource_Resource `protobuf_oneof:"resource"`
	// Output only. Timestamp when the last migration attempt on this MigratableResource
	// started. Will not be set if there's no migration attempt on this
	// MigratableResource.
	LastMigrateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=last_migrate_time,json=lastMigrateTime,proto3" json:"last_migrate_time,omitempty"`
	// Output only. Timestamp when this MigratableResource was last updated.
	LastUpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=last_update_time,json=lastUpdateTime,proto3" json:"last_update_time,omitempty"`
	// contains filtered or unexported fields
}

Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.

func (*MigratableResource) Descriptor deprecated 

func (*MigratableResource) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource.ProtoReflect.Descriptor instead.

func (*MigratableResource) GetAutomlDataset 

func (x *MigratableResource) GetAutomlDataset() *MigratableResource_AutomlDataset

func (*MigratableResource) GetAutomlModel 

func (x *MigratableResource) GetAutomlModel() *MigratableResource_AutomlModel

func (*MigratableResource) GetDataLabelingDataset 

func (x *MigratableResource) GetDataLabelingDataset() *MigratableResource_DataLabelingDataset

func (*MigratableResource) GetLastMigrateTime 

func (x *MigratableResource) GetLastMigrateTime() *timestamppb.Timestamp

func (*MigratableResource) GetLastUpdateTime 

func (x *MigratableResource) GetLastUpdateTime() *timestamppb.Timestamp

func (*MigratableResource) GetMlEngineModelVersion 

func (x *MigratableResource) GetMlEngineModelVersion() *MigratableResource_MlEngineModelVersion

func (*MigratableResource) GetResource 

func (m *MigratableResource) GetResource() isMigratableResource_Resource

func (*MigratableResource) ProtoMessage 

func (*MigratableResource) ProtoMessage()

func (*MigratableResource) ProtoReflect 

func (x *MigratableResource) ProtoReflect() protoreflect.Message

func (*MigratableResource) Reset 

func (x *MigratableResource) Reset()

func (*MigratableResource) String 

func (x *MigratableResource) String() string

type MigratableResource_AutomlDataset 

type MigratableResource_AutomlDataset struct {

	// Full resource name of automl Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The Dataset's display name in automl.googleapis.com.
	DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// contains filtered or unexported fields
}

Represents one Dataset in automl.googleapis.com.

func (*MigratableResource_AutomlDataset) Descriptor deprecated 

func (*MigratableResource_AutomlDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_AutomlDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_AutomlDataset) GetDataset 

func (x *MigratableResource_AutomlDataset) GetDataset() string

func (*MigratableResource_AutomlDataset) GetDatasetDisplayName 

func (x *MigratableResource_AutomlDataset) GetDatasetDisplayName() string

func (*MigratableResource_AutomlDataset) ProtoMessage 

func (*MigratableResource_AutomlDataset) ProtoMessage()

func (*MigratableResource_AutomlDataset) ProtoReflect 

func (x *MigratableResource_AutomlDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_AutomlDataset) Reset 

func (x *MigratableResource_AutomlDataset) Reset()

func (*MigratableResource_AutomlDataset) String 

func (x *MigratableResource_AutomlDataset) String() string

type MigratableResource_AutomlDataset_ 

type MigratableResource_AutomlDataset_ struct {
	// Output only. Represents one Dataset in automl.googleapis.com.
	AutomlDataset *MigratableResource_AutomlDataset `protobuf:"bytes,3,opt,name=automl_dataset,json=automlDataset,proto3,oneof"`
}

type MigratableResource_AutomlModel 

type MigratableResource_AutomlModel struct {

	// Full resource name of automl Model.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// The Model's display name in automl.googleapis.com.
	ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Represents one Model in automl.googleapis.com.

func (*MigratableResource_AutomlModel) Descriptor deprecated 

func (*MigratableResource_AutomlModel) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_AutomlModel.ProtoReflect.Descriptor instead.

func (*MigratableResource_AutomlModel) GetModel 

func (x *MigratableResource_AutomlModel) GetModel() string

func (*MigratableResource_AutomlModel) GetModelDisplayName 

func (x *MigratableResource_AutomlModel) GetModelDisplayName() string

func (*MigratableResource_AutomlModel) ProtoMessage 

func (*MigratableResource_AutomlModel) ProtoMessage()

func (*MigratableResource_AutomlModel) ProtoReflect 

func (x *MigratableResource_AutomlModel) ProtoReflect() protoreflect.Message

func (*MigratableResource_AutomlModel) Reset 

func (x *MigratableResource_AutomlModel) Reset()

func (*MigratableResource_AutomlModel) String 

func (x *MigratableResource_AutomlModel) String() string

type MigratableResource_AutomlModel_ 

type MigratableResource_AutomlModel_ struct {
	// Output only. Represents one Model in automl.googleapis.com.
	AutomlModel *MigratableResource_AutomlModel `protobuf:"bytes,2,opt,name=automl_model,json=automlModel,proto3,oneof"`
}

type MigratableResource_DataLabelingDataset 

type MigratableResource_DataLabelingDataset struct {

	// Full resource name of data labeling Dataset.
	// Format:
	// `projects/{project}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// The Dataset's display name in datalabeling.googleapis.com.
	DatasetDisplayName string `protobuf:"bytes,4,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// The migratable AnnotatedDataset in datalabeling.googleapis.com belongs to
	// the data labeling Dataset.
	DataLabelingAnnotatedDatasets []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset `` /* 152-byte string literal not displayed */
	// contains filtered or unexported fields
}

Represents one Dataset in datalabeling.googleapis.com.

func (*MigratableResource_DataLabelingDataset) Descriptor deprecated 

func (*MigratableResource_DataLabelingDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_DataLabelingDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets 

func (x *MigratableResource_DataLabelingDataset) GetDataLabelingAnnotatedDatasets() []*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset

func (*MigratableResource_DataLabelingDataset) GetDataset 

func (x *MigratableResource_DataLabelingDataset) GetDataset() string

func (*MigratableResource_DataLabelingDataset) GetDatasetDisplayName 

func (x *MigratableResource_DataLabelingDataset) GetDatasetDisplayName() string

func (*MigratableResource_DataLabelingDataset) ProtoMessage 

func (*MigratableResource_DataLabelingDataset) ProtoMessage()

func (*MigratableResource_DataLabelingDataset) ProtoReflect 

func (x *MigratableResource_DataLabelingDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_DataLabelingDataset) Reset 

func (x *MigratableResource_DataLabelingDataset) Reset()

func (*MigratableResource_DataLabelingDataset) String 

func (x *MigratableResource_DataLabelingDataset) String() string

type MigratableResource_DataLabelingDataset_ 

type MigratableResource_DataLabelingDataset_ struct {
	// Output only. Represents one Dataset in datalabeling.googleapis.com.
	DataLabelingDataset *MigratableResource_DataLabelingDataset `protobuf:"bytes,4,opt,name=data_labeling_dataset,json=dataLabelingDataset,proto3,oneof"`
}

type MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset 

type MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset struct {

	// Full resource name of data labeling AnnotatedDataset.
	// Format:
	// `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
	AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
	// The AnnotatedDataset's display name in datalabeling.googleapis.com.
	AnnotatedDatasetDisplayName string `` /* 146-byte string literal not displayed */
	// contains filtered or unexported fields
}

Represents one AnnotatedDataset in datalabeling.googleapis.com.

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor deprecated 

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset.ProtoReflect.Descriptor instead.

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDataset() string

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) GetAnnotatedDatasetDisplayName() string

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage 

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoMessage()

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) ProtoReflect() protoreflect.Message

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) Reset()

func (*MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String 

func (x *MigratableResource_DataLabelingDataset_DataLabelingAnnotatedDataset) String() string

type MigratableResource_MlEngineModelVersion 

type MigratableResource_MlEngineModelVersion struct {

	// The ml.googleapis.com endpoint that this model Version currently lives
	// in.
	// Example values:
	//
	// * ml.googleapis.com
	// * us-centrall-ml.googleapis.com
	// * europe-west4-ml.googleapis.com
	// * asia-east1-ml.googleapis.com
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Full resource name of ml engine model Version.
	// Format: `projects/{project}/models/{model}/versions/{version}`.
	Version string `protobuf:"bytes,2,opt,name=version,proto3" json:"version,omitempty"`
	// contains filtered or unexported fields
}

Represents one model Version in ml.googleapis.com.

func (*MigratableResource_MlEngineModelVersion) Descriptor deprecated 

func (*MigratableResource_MlEngineModelVersion) Descriptor() ([]byte, []int)

Deprecated: Use MigratableResource_MlEngineModelVersion.ProtoReflect.Descriptor instead.

func (*MigratableResource_MlEngineModelVersion) GetEndpoint 

func (x *MigratableResource_MlEngineModelVersion) GetEndpoint() string

func (*MigratableResource_MlEngineModelVersion) GetVersion 

func (x *MigratableResource_MlEngineModelVersion) GetVersion() string

func (*MigratableResource_MlEngineModelVersion) ProtoMessage 

func (*MigratableResource_MlEngineModelVersion) ProtoMessage()

func (*MigratableResource_MlEngineModelVersion) ProtoReflect 

func (x *MigratableResource_MlEngineModelVersion) ProtoReflect() protoreflect.Message

func (*MigratableResource_MlEngineModelVersion) Reset 

func (x *MigratableResource_MlEngineModelVersion) Reset()

func (*MigratableResource_MlEngineModelVersion) String 

func (x *MigratableResource_MlEngineModelVersion) String() string

type MigratableResource_MlEngineModelVersion_ 

type MigratableResource_MlEngineModelVersion_ struct {
	// Output only. Represents one Version in ml.googleapis.com.
	MlEngineModelVersion *MigratableResource_MlEngineModelVersion `protobuf:"bytes,1,opt,name=ml_engine_model_version,json=mlEngineModelVersion,proto3,oneof"`
}

type MigrateResourceRequest 

type MigrateResourceRequest struct {

	// Types that are assignable to Request:
	//	*MigrateResourceRequest_MigrateMlEngineModelVersionConfig_
	//	*MigrateResourceRequest_MigrateAutomlModelConfig_
	//	*MigrateResourceRequest_MigrateAutomlDatasetConfig_
	//	*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_
	Request isMigrateResourceRequest_Request `protobuf_oneof:"request"`
	// contains filtered or unexported fields
}

Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

func (*MigrateResourceRequest) Descriptor deprecated 

func (*MigrateResourceRequest) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest) GetMigrateAutomlDatasetConfig 

func (x *MigrateResourceRequest) GetMigrateAutomlDatasetConfig() *MigrateResourceRequest_MigrateAutomlDatasetConfig

func (*MigrateResourceRequest) GetMigrateAutomlModelConfig 

func (x *MigrateResourceRequest) GetMigrateAutomlModelConfig() *MigrateResourceRequest_MigrateAutomlModelConfig

func (*MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig 

func (x *MigrateResourceRequest) GetMigrateDataLabelingDatasetConfig() *MigrateResourceRequest_MigrateDataLabelingDatasetConfig

func (*MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig 

func (x *MigrateResourceRequest) GetMigrateMlEngineModelVersionConfig() *MigrateResourceRequest_MigrateMlEngineModelVersionConfig

func (*MigrateResourceRequest) GetRequest 

func (m *MigrateResourceRequest) GetRequest() isMigrateResourceRequest_Request

func (*MigrateResourceRequest) ProtoMessage 

func (*MigrateResourceRequest) ProtoMessage()

func (*MigrateResourceRequest) ProtoReflect 

func (x *MigrateResourceRequest) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest) Reset 

func (x *MigrateResourceRequest) Reset()

func (*MigrateResourceRequest) String 

func (x *MigrateResourceRequest) String() string

type MigrateResourceRequest_MigrateAutomlDatasetConfig 

type MigrateResourceRequest_MigrateAutomlDatasetConfig struct {

	// Required. Full resource name of automl Dataset.
	// Format:
	// `projects/{project}/locations/{location}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. Display name of the Dataset in Vertex AI.
	// System will pick a display name if unspecified.
	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor deprecated 

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateAutomlDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDataset() string

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) GetDatasetDisplayName() string

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateAutomlDatasetConfig) String 

func (x *MigrateResourceRequest_MigrateAutomlDatasetConfig) String() string

type MigrateResourceRequest_MigrateAutomlDatasetConfig_ 

type MigrateResourceRequest_MigrateAutomlDatasetConfig_ struct {
	// Config for migrating Dataset in automl.googleapis.com to Vertex AI's
	// Dataset.
	MigrateAutomlDatasetConfig *MigrateResourceRequest_MigrateAutomlDatasetConfig `protobuf:"bytes,3,opt,name=migrate_automl_dataset_config,json=migrateAutomlDatasetConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateAutomlModelConfig 

type MigrateResourceRequest_MigrateAutomlModelConfig struct {

	// Required. Full resource name of automl Model.
	// Format:
	// `projects/{project}/locations/{location}/models/{model}`.
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Optional. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,2,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating Model in automl.googleapis.com to Vertex AI's Model.

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor deprecated 

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateAutomlModelConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModel 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModel() string

func (*MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) GetModelDisplayName() string

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateAutomlModelConfig) Reset 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) Reset()

func (*MigrateResourceRequest_MigrateAutomlModelConfig) String 

func (x *MigrateResourceRequest_MigrateAutomlModelConfig) String() string

type MigrateResourceRequest_MigrateAutomlModelConfig_ 

type MigrateResourceRequest_MigrateAutomlModelConfig_ struct {
	// Config for migrating Model in automl.googleapis.com to Vertex AI's
	// Model.
	MigrateAutomlModelConfig *MigrateResourceRequest_MigrateAutomlModelConfig `protobuf:"bytes,2,opt,name=migrate_automl_model_config,json=migrateAutomlModelConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig 

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig struct {

	// Required. Full resource name of data labeling Dataset.
	// Format:
	// `projects/{project}/datasets/{dataset}`.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Optional. Display name of the Dataset in Vertex AI.
	// System will pick a display name if unspecified.
	DatasetDisplayName string `protobuf:"bytes,2,opt,name=dataset_display_name,json=datasetDisplayName,proto3" json:"dataset_display_name,omitempty"`
	// Optional. Configs for migrating AnnotatedDataset in datalabeling.googleapis.com to
	// Vertex AI's SavedQuery. The specified AnnotatedDatasets have to belong
	// to the datalabeling Dataset.
	MigrateDataLabelingAnnotatedDatasetConfigs []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig `` /* 195-byte string literal not displayed */
	// contains filtered or unexported fields
}

Config for migrating Dataset in datalabeling.googleapis.com to AI Platform's Dataset.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor deprecated 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDataset() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetDatasetDisplayName() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) GetMigrateDataLabelingAnnotatedDatasetConfigs() []*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig) String() string

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_ 

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_ struct {
	// Config for migrating Dataset in datalabeling.googleapis.com to
	// Vertex AI's Dataset.
	MigrateDataLabelingDatasetConfig *MigrateResourceRequest_MigrateDataLabelingDatasetConfig `protobuf:"bytes,4,opt,name=migrate_data_labeling_dataset_config,json=migrateDataLabelingDatasetConfig,proto3,oneof"`
}

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig 

type MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig struct {

	// Required. Full resource name of data labeling AnnotatedDataset.
	// Format:
	// `projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}`.
	AnnotatedDataset string `protobuf:"bytes,1,opt,name=annotated_dataset,json=annotatedDataset,proto3" json:"annotated_dataset,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor deprecated 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) GetAnnotatedDataset() string

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) Reset()

func (*MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String 

func (x *MigrateResourceRequest_MigrateDataLabelingDatasetConfig_MigrateDataLabelingAnnotatedDatasetConfig) String() string

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig 

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig struct {

	// Required. The ml.googleapis.com endpoint that this model version should be migrated
	// from.
	// Example values:
	//
	// * ml.googleapis.com
	//
	// * us-centrall-ml.googleapis.com
	//
	// * europe-west4-ml.googleapis.com
	//
	// * asia-east1-ml.googleapis.com
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. Full resource name of ml engine model version.
	// Format: `projects/{project}/models/{model}/versions/{version}`.
	ModelVersion string `protobuf:"bytes,2,opt,name=model_version,json=modelVersion,proto3" json:"model_version,omitempty"`
	// Required. Display name of the model in Vertex AI.
	// System will pick a display name if unspecified.
	ModelDisplayName string `protobuf:"bytes,3,opt,name=model_display_name,json=modelDisplayName,proto3" json:"model_display_name,omitempty"`
	// contains filtered or unexported fields
}

Config for migrating version in ml.googleapis.com to Vertex AI's Model.

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor deprecated 

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceRequest_MigrateMlEngineModelVersionConfig.ProtoReflect.Descriptor instead.

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetEndpoint() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelDisplayName() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) GetModelVersion() string

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage 

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoMessage()

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) ProtoReflect() protoreflect.Message

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) Reset()

func (*MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String 

func (x *MigrateResourceRequest_MigrateMlEngineModelVersionConfig) String() string

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig_ 

type MigrateResourceRequest_MigrateMlEngineModelVersionConfig_ struct {
	// Config for migrating Version in ml.googleapis.com to Vertex AI's Model.
	MigrateMlEngineModelVersionConfig *MigrateResourceRequest_MigrateMlEngineModelVersionConfig `protobuf:"bytes,1,opt,name=migrate_ml_engine_model_version_config,json=migrateMlEngineModelVersionConfig,proto3,oneof"`
}

type MigrateResourceResponse 

type MigrateResourceResponse struct {

	// After migration, the resource name in Vertex AI.
	//
	// Types that are assignable to MigratedResource:
	//	*MigrateResourceResponse_Dataset
	//	*MigrateResourceResponse_Model
	MigratedResource isMigrateResourceResponse_MigratedResource `protobuf_oneof:"migrated_resource"`
	// Before migration, the identifier in ml.googleapis.com,
	// automl.googleapis.com or datalabeling.googleapis.com.
	MigratableResource *MigratableResource `protobuf:"bytes,3,opt,name=migratable_resource,json=migratableResource,proto3" json:"migratable_resource,omitempty"`
	// contains filtered or unexported fields
}

Describes a successfully migrated resource.

func (*MigrateResourceResponse) Descriptor deprecated 

func (*MigrateResourceResponse) Descriptor() ([]byte, []int)

Deprecated: Use MigrateResourceResponse.ProtoReflect.Descriptor instead.

func (*MigrateResourceResponse) GetDataset 

func (x *MigrateResourceResponse) GetDataset() string

func (*MigrateResourceResponse) GetMigratableResource 

func (x *MigrateResourceResponse) GetMigratableResource() *MigratableResource

func (*MigrateResourceResponse) GetMigratedResource 

func (m *MigrateResourceResponse) GetMigratedResource() isMigrateResourceResponse_MigratedResource

func (*MigrateResourceResponse) GetModel 

func (x *MigrateResourceResponse) GetModel() string

func (*MigrateResourceResponse) ProtoMessage 

func (*MigrateResourceResponse) ProtoMessage()

func (*MigrateResourceResponse) ProtoReflect 

func (x *MigrateResourceResponse) ProtoReflect() protoreflect.Message

func (*MigrateResourceResponse) Reset 

func (x *MigrateResourceResponse) Reset()

func (*MigrateResourceResponse) String 

func (x *MigrateResourceResponse) String() string

type MigrateResourceResponse_Dataset 

type MigrateResourceResponse_Dataset struct {
	// Migrated Dataset's resource name.
	Dataset string `protobuf:"bytes,1,opt,name=dataset,proto3,oneof"`
}

type MigrateResourceResponse_Model 

type MigrateResourceResponse_Model struct {
	// Migrated Model's resource name.
	Model string `protobuf:"bytes,2,opt,name=model,proto3,oneof"`
}

type MigrationServiceClient 

type MigrationServiceClient interface {
	// Searches all of the resources in automl.googleapis.com,
	// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
	// Vertex AI's given location.
	SearchMigratableResources(ctx context.Context, in *SearchMigratableResourcesRequest, opts ...grpc.CallOption) (*SearchMigratableResourcesResponse, error)
	// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
	// and datalabeling.googleapis.com to Vertex AI.
	BatchMigrateResources(ctx context.Context, in *BatchMigrateResourcesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}

MigrationServiceClient is the client API for MigrationService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewMigrationServiceClient 

func NewMigrationServiceClient(cc grpc.ClientConnInterface) MigrationServiceClient

type MigrationServiceServer 

type MigrationServiceServer interface {
	// Searches all of the resources in automl.googleapis.com,
	// datalabeling.googleapis.com and ml.googleapis.com that can be migrated to
	// Vertex AI's given location.
	SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)
	// Batch migrates resources from ml.googleapis.com, automl.googleapis.com,
	// and datalabeling.googleapis.com to Vertex AI.
	BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunning.Operation, error)
}

MigrationServiceServer is the server API for MigrationService service.

type Model 

type Model struct {

	// The resource name of the Model.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The display name of the Model.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// The description of the Model.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// The schemata that describe formats of the Model's predictions and
	// explanations as given and returned via
	// [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] and [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
	PredictSchemata *PredictSchemata `protobuf:"bytes,4,opt,name=predict_schemata,json=predictSchemata,proto3" json:"predict_schemata,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing additional
	// information about the Model, that is specific to it. Unset if the Model
	// does not have any additional information.
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI, if no
	// additional metadata is needed, this field is set to an empty string.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	MetadataSchemaUri string `protobuf:"bytes,5,opt,name=metadata_schema_uri,json=metadataSchemaUri,proto3" json:"metadata_schema_uri,omitempty"`
	// Immutable. An additional information about the Model; the schema of the metadata can
	// be found in [metadata_schema][google.cloud.aiplatform.v1beta1.Model.metadata_schema_uri].
	// Unset if the Model does not have any additional information.
	Metadata *structpb.Value `protobuf:"bytes,6,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// Output only. The formats in which this Model may be exported. If empty, this Model is
	// not available for export.
	SupportedExportFormats []*Model_ExportFormat `` /* 130-byte string literal not displayed */
	// Output only. The resource name of the TrainingPipeline that uploaded this Model, if any.
	TrainingPipeline string `protobuf:"bytes,7,opt,name=training_pipeline,json=trainingPipeline,proto3" json:"training_pipeline,omitempty"`
	// Input only. The specification of the container that is to be used when deploying
	// this Model. The specification is ingested upon
	// [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], and all binaries it contains are copied
	// and stored internally by Vertex AI.
	// Not present for AutoML Models.
	ContainerSpec *ModelContainerSpec `protobuf:"bytes,9,opt,name=container_spec,json=containerSpec,proto3" json:"container_spec,omitempty"`
	// Immutable. The path to the directory containing the Model artifact and any of its
	// supporting files.
	// Not present for AutoML Models.
	ArtifactUri string `protobuf:"bytes,26,opt,name=artifact_uri,json=artifactUri,proto3" json:"artifact_uri,omitempty"`
	// Output only. When this Model is deployed, its prediction resources are described by the
	// `prediction_resources` field of the [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models] object.
	// Because not all Models support all resource configuration types, the
	// configuration types this Model supports are listed here. If no
	// configuration types are listed, the Model cannot be deployed to an
	// [Endpoint][google.cloud.aiplatform.v1beta1.Endpoint] and does not support
	// online predictions ([PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
	// [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain]). Such a Model can serve predictions by
	// using a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob], if it has at least one entry each in
	// [supported_input_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_input_storage_formats] and
	// [supported_output_storage_formats][google.cloud.aiplatform.v1beta1.Model.supported_output_storage_formats].
	SupportedDeploymentResourcesTypes []Model_DeploymentResourcesType `` /* 240-byte string literal not displayed */
	// Output only. The formats this Model supports in
	// [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config]. If
	// [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] exists, the instances
	// should be given as per that schema.
	//
	// The possible formats are:
	//
	// * `jsonl`
	// The JSON Lines format, where each instance is a single line. Uses
	// [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `csv`
	// The CSV format, where each instance is a single comma-separated line.
	// The first line in the file is the header, containing comma-separated field
	// names. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `tf-record`
	// The TFRecord format, where each instance is a single record in tfrecord
	// syntax. Uses [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `tf-record-gzip`
	// Similar to `tf-record`, but the file is gzipped. Uses
	// [GcsSource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.gcs_source].
	//
	// * `bigquery`
	// Each instance is a single row in BigQuery. Uses
	// [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
	//
	// * `file-list`
	// Each line of the file is the location of an instance to process, uses
	// `gcs_source` field of the
	// [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
	//
	//
	// If this Model doesn't support any of these formats it means it cannot be
	// used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
	// [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
	// predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
	// [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
	SupportedInputStorageFormats []string `` /* 150-byte string literal not displayed */
	// Output only. The formats this Model supports in
	// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config]. If both
	// [PredictSchemata.instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri] and
	// [PredictSchemata.prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri] exist, the predictions
	// are returned together with their instances. In other words, the
	// prediction has the original instance data first, followed
	// by the actual prediction content (as per the schema).
	//
	// The possible formats are:
	//
	// * `jsonl`
	// The JSON Lines format, where each prediction is a single line. Uses
	// [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
	//
	// * `csv`
	// The CSV format, where each prediction is a single comma-separated line.
	// The first line in the file is the header, containing comma-separated field
	// names. Uses
	// [GcsDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.gcs_destination].
	//
	// * `bigquery`
	// Each prediction is a single row in a BigQuery table, uses
	// [BigQueryDestination][google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig.bigquery_destination]
	// .
	//
	//
	// If this Model doesn't support any of these formats it means it cannot be
	// used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
	// [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
	// predictions by using [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] or
	// [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
	SupportedOutputStorageFormats []string `` /* 153-byte string literal not displayed */
	// Output only. Timestamp when this Model was uploaded into Vertex AI.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Model was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. The pointers to DeployedModels created from this Model. Note that
	// Model could have been deployed to Endpoints in different Locations.
	DeployedModels []*DeployedModelRef `protobuf:"bytes,15,rep,name=deployed_models,json=deployedModels,proto3" json:"deployed_models,omitempty"`
	// The default explanation specification for this Model.
	//
	// The Model can be used for [requesting
	// explanation][PredictionService.Explain] after being
	// [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] if it is populated.
	// The Model can be used for [batch
	// explanation][BatchPredictionJob.generate_explanation] if it is populated.
	//
	// All fields of the explanation_spec can be overridden by
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
	// [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
	// [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
	// [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
	//
	// If the default explanation specification is not set for this Model, this
	// Model can still be used for [requesting
	// explanation][PredictionService.Explain] by setting
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
	// [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model] and for [batch
	// explanation][BatchPredictionJob.generate_explanation] by setting
	// [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
	// [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,23,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,16,opt,name=etag,proto3" json:"etag,omitempty"`
	// The labels with user-defined metadata to organize your Models.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Customer-managed encryption key spec for a Model. If set, this
	// Model and all sub-resources of this Model will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,24,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

A trained machine learning Model.

func (*Model) Descriptor deprecated 

func (*Model) Descriptor() ([]byte, []int)

Deprecated: Use Model.ProtoReflect.Descriptor instead.

func (*Model) GetArtifactUri 

func (x *Model) GetArtifactUri() string

func (*Model) GetContainerSpec 

func (x *Model) GetContainerSpec() *ModelContainerSpec

func (*Model) GetCreateTime 

func (x *Model) GetCreateTime() *timestamppb.Timestamp

func (*Model) GetDeployedModels 

func (x *Model) GetDeployedModels() []*DeployedModelRef

func (*Model) GetDescription 

func (x *Model) GetDescription() string

func (*Model) GetDisplayName 

func (x *Model) GetDisplayName() string

func (*Model) GetEncryptionSpec 

func (x *Model) GetEncryptionSpec() *EncryptionSpec

func (*Model) GetEtag 

func (x *Model) GetEtag() string

func (*Model) GetExplanationSpec 

func (x *Model) GetExplanationSpec() *ExplanationSpec

func (*Model) GetLabels 

func (x *Model) GetLabels() map[string]string

func (*Model) GetMetadata 

func (x *Model) GetMetadata() *structpb.Value

func (*Model) GetMetadataSchemaUri 

func (x *Model) GetMetadataSchemaUri() string

func (*Model) GetName 

func (x *Model) GetName() string

func (*Model) GetPredictSchemata 

func (x *Model) GetPredictSchemata() *PredictSchemata

func (*Model) GetSupportedDeploymentResourcesTypes 

func (x *Model) GetSupportedDeploymentResourcesTypes() []Model_DeploymentResourcesType

func (*Model) GetSupportedExportFormats 

func (x *Model) GetSupportedExportFormats() []*Model_ExportFormat

func (*Model) GetSupportedInputStorageFormats 

func (x *Model) GetSupportedInputStorageFormats() []string

func (*Model) GetSupportedOutputStorageFormats 

func (x *Model) GetSupportedOutputStorageFormats() []string

func (*Model) GetTrainingPipeline 

func (x *Model) GetTrainingPipeline() string

func (*Model) GetUpdateTime 

func (x *Model) GetUpdateTime() *timestamppb.Timestamp

func (*Model) ProtoMessage 

func (*Model) ProtoMessage()

func (*Model) ProtoReflect 

func (x *Model) ProtoReflect() protoreflect.Message

func (*Model) Reset 

func (x *Model) Reset()

func (*Model) String 

func (x *Model) String() string

type ModelContainerSpec 

type ModelContainerSpec struct {

	// Required. Immutable. URI of the Docker image to be used as the custom container for serving
	// predictions. This URI must identify an image in Artifact Registry or
	// Container Registry. Learn more about the [container publishing
	// requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#publishing),
	// including permissions requirements for the AI Platform Service Agent.
	//
	// The container image is ingested upon [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel], stored
	// internally, and this original path is afterwards not used.
	//
	// To learn about the requirements for the Docker image itself, see
	// [Custom container
	// requirements](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#).
	//
	// You can use the URI to one of Vertex AI's [pre-built container images for
	// prediction](https://cloud.google.com/vertex-ai/docs/predictions/pre-built-containers)
	// in this field.
	ImageUri string `protobuf:"bytes,1,opt,name=image_uri,json=imageUri,proto3" json:"image_uri,omitempty"`
	// Immutable. Specifies the command that runs when the container starts. This overrides
	// the container's
	// [ENTRYPOINT](https://docs.docker.com/engine/reference/builder/#entrypoint).
	// Specify this field as an array of executable and arguments, similar to a
	// Docker `ENTRYPOINT`'s "exec" form, not its "shell" form.
	//
	// If you do not specify this field, then the container's `ENTRYPOINT` runs,
	// in conjunction with the [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] field or the
	// container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd),
	// if either exists. If this field is not specified and the container does not
	// have an `ENTRYPOINT`, then refer to the Docker documentation about [how
	// `CMD` and `ENTRYPOINT`
	// interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
	//
	// If you specify this field, then you can also specify the `args` field to
	// provide additional arguments for this command. However, if you specify this
	// field, then the container's `CMD` is ignored. See the
	// [Kubernetes documentation about how the
	// `command` and `args` fields interact with a container's `ENTRYPOINT` and
	// `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
	//
	// In this field, you can reference [environment variables set by Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
	// and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
	// You cannot reference environment variables set in the Docker image. In
	// order for environment variables to be expanded, reference them by using the
	// following syntax:
	// <code>$(<var>VARIABLE_NAME</var>)</code>
	// Note that this differs from Bash variable expansion, which does not use
	// parentheses. If a variable cannot be resolved, the reference in the input
	// string is used unchanged. To avoid variable expansion, you can escape this
	// syntax with `$$`; for example:
	// <code>$$(<var>VARIABLE_NAME</var>)</code>
	// This field corresponds to the `command` field of the Kubernetes Containers
	// [v1 core
	// API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
	Command []string `protobuf:"bytes,2,rep,name=command,proto3" json:"command,omitempty"`
	// Immutable. Specifies arguments for the command that runs when the container starts.
	// This overrides the container's
	// [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify
	// this field as an array of executable and arguments, similar to a Docker
	// `CMD`'s "default parameters" form.
	//
	// If you don't specify this field but do specify the
	// [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] field, then the command from the
	// `command` field runs without any additional arguments. See the
	// [Kubernetes documentation about how the
	// `command` and `args` fields interact with a container's `ENTRYPOINT` and
	// `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes).
	//
	// If you don't specify this field and don't specify the `command` field,
	// then the container's
	// [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and
	// `CMD` determine what runs based on their default behavior. See the Docker
	// documentation about [how `CMD` and `ENTRYPOINT`
	// interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact).
	//
	// In this field, you can reference [environment variables
	// set by Vertex
	// AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables)
	// and environment variables set in the [env][google.cloud.aiplatform.v1beta1.ModelContainerSpec.env] field.
	// You cannot reference environment variables set in the Docker image. In
	// order for environment variables to be expanded, reference them by using the
	// following syntax:
	// <code>$(<var>VARIABLE_NAME</var>)</code>
	// Note that this differs from Bash variable expansion, which does not use
	// parentheses. If a variable cannot be resolved, the reference in the input
	// string is used unchanged. To avoid variable expansion, you can escape this
	// syntax with `$$`; for example:
	// <code>$$(<var>VARIABLE_NAME</var>)</code>
	// This field corresponds to the `args` field of the Kubernetes Containers
	// [v1 core
	// API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
	Args []string `protobuf:"bytes,3,rep,name=args,proto3" json:"args,omitempty"`
	// Immutable. List of environment variables to set in the container. After the container
	// starts running, code running in the container can read these environment
	// variables.
	//
	// Additionally, the [command][google.cloud.aiplatform.v1beta1.ModelContainerSpec.command] and
	// [args][google.cloud.aiplatform.v1beta1.ModelContainerSpec.args] fields can reference these variables. Later
	// entries in this list can also reference earlier entries. For example, the
	// following example sets the variable `VAR_2` to have the value `foo bar`:
	//
	// “`json
	// [
	//   {
	//     "name": "VAR_1",
	//     "value": "foo"
	//   },
	//   {
	//     "name": "VAR_2",
	//     "value": "$(VAR_1) bar"
	//   }
	// ]
	// “`
	//
	// If you switch the order of the variables in the example, then the expansion
	// does not occur.
	//
	// This field corresponds to the `env` field of the Kubernetes Containers
	// [v1 core
	// API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
	Env []*EnvVar `protobuf:"bytes,4,rep,name=env,proto3" json:"env,omitempty"`
	// Immutable. List of ports to expose from the container. Vertex AI sends any
	// prediction requests that it receives to the first port on this list. AI
	// Platform also sends
	// [liveness and health
	// checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#liveness)
	// to this port.
	//
	// If you do not specify this field, it defaults to following value:
	//
	// “`json
	// [
	//   {
	//     "containerPort": 8080
	//   }
	// ]
	// “`
	//
	// Vertex AI does not use ports other than the first one listed. This field
	// corresponds to the `ports` field of the Kubernetes Containers
	// [v1 core
	// API](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
	Ports []*Port `protobuf:"bytes,5,rep,name=ports,proto3" json:"ports,omitempty"`
	// Immutable. HTTP path on the container to send prediction requests to. Vertex AI
	// forwards requests sent using
	// [projects.locations.endpoints.predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict] to this
	// path on the container's IP address and port. Vertex AI then returns the
	// container's response in the API response.
	//
	// For example, if you set this field to `/foo`, then when Vertex AI
	// receives a prediction request, it forwards the request body in a POST
	// request to the `/foo` path on the port of your container specified by the
	// first value of this `ModelContainerSpec`'s
	// [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
	//
	// If you don't specify this field, it defaults to the following value when
	// you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
	// <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
	// The placeholders in this value are replaced as follows:
	//
	// * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
	//   Endpoint.name][] field of the Endpoint where this Model has been
	//   deployed. (Vertex AI makes this value available to your container code
	//   as the [`AIP_ENDPOINT_ID` environment
	//  variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	//
	// * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
	//   (Vertex AI makes this value available to your container code
	//   as the [`AIP_DEPLOYED_MODEL_ID` environment
	//   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	PredictRoute string `protobuf:"bytes,6,opt,name=predict_route,json=predictRoute,proto3" json:"predict_route,omitempty"`
	// Immutable. HTTP path on the container to send health checks to. Vertex AI
	// intermittently sends GET requests to this path on the container's IP
	// address and port to check that the container is healthy. Read more about
	// [health
	// checks](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#health).
	//
	// For example, if you set this field to `/bar`, then Vertex AI
	// intermittently sends a GET request to the `/bar` path on the port of your
	// container specified by the first value of this `ModelContainerSpec`'s
	// [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
	//
	// If you don't specify this field, it defaults to the following value when
	// you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
	// <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code>
	// The placeholders in this value are replaced as follows:
	//
	// * <var>ENDPOINT</var>: The last segment (following `endpoints/`)of the
	//   Endpoint.name][] field of the Endpoint where this Model has been
	//   deployed. (Vertex AI makes this value available to your container code
	//   as the [`AIP_ENDPOINT_ID` environment
	//   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	//
	// * <var>DEPLOYED_MODEL</var>: [DeployedModel.id][google.cloud.aiplatform.v1beta1.DeployedModel.id] of the `DeployedModel`.
	//   (Vertex AI makes this value available to your container code as the
	//   [`AIP_DEPLOYED_MODEL_ID` environment
	//   variable](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables).)
	HealthRoute string `protobuf:"bytes,7,opt,name=health_route,json=healthRoute,proto3" json:"health_route,omitempty"`
	// contains filtered or unexported fields
}

Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://v1-18.docs.kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).

func (*ModelContainerSpec) Descriptor deprecated 

func (*ModelContainerSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelContainerSpec.ProtoReflect.Descriptor instead.

func (*ModelContainerSpec) GetArgs 

func (x *ModelContainerSpec) GetArgs() []string

func (*ModelContainerSpec) GetCommand 

func (x *ModelContainerSpec) GetCommand() []string

func (*ModelContainerSpec) GetEnv 

func (x *ModelContainerSpec) GetEnv() []*EnvVar

func (*ModelContainerSpec) GetHealthRoute 

func (x *ModelContainerSpec) GetHealthRoute() string

func (*ModelContainerSpec) GetImageUri 

func (x *ModelContainerSpec) GetImageUri() string

func (*ModelContainerSpec) GetPorts 

func (x *ModelContainerSpec) GetPorts() []*Port

func (*ModelContainerSpec) GetPredictRoute 

func (x *ModelContainerSpec) GetPredictRoute() string

func (*ModelContainerSpec) ProtoMessage 

func (*ModelContainerSpec) ProtoMessage()

func (*ModelContainerSpec) ProtoReflect 

func (x *ModelContainerSpec) ProtoReflect() protoreflect.Message

func (*ModelContainerSpec) Reset 

func (x *ModelContainerSpec) Reset()

func (*ModelContainerSpec) String 

func (x *ModelContainerSpec) String() string

type ModelDeploymentMonitoringBigQueryTable 

type ModelDeploymentMonitoringBigQueryTable struct {

	// The source of log.
	LogSource ModelDeploymentMonitoringBigQueryTable_LogSource `` /* 175-byte string literal not displayed */
	// The type of log.
	LogType ModelDeploymentMonitoringBigQueryTable_LogType `` /* 167-byte string literal not displayed */
	// The created BigQuery table to store logs. Customer could do their own query
	// & analysis. Format:
	// `bq://<project_id>.model_deployment_monitoring_<endpoint_id>.<tolower(log_source)>_<tolower(log_type)>`
	BigqueryTablePath string `protobuf:"bytes,3,opt,name=bigquery_table_path,json=bigqueryTablePath,proto3" json:"bigquery_table_path,omitempty"`
	// contains filtered or unexported fields
}

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

func (*ModelDeploymentMonitoringBigQueryTable) Descriptor deprecated 

func (*ModelDeploymentMonitoringBigQueryTable) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath 

func (x *ModelDeploymentMonitoringBigQueryTable) GetBigqueryTablePath() string

func (*ModelDeploymentMonitoringBigQueryTable) GetLogSource 

func (x *ModelDeploymentMonitoringBigQueryTable) GetLogSource() ModelDeploymentMonitoringBigQueryTable_LogSource

func (*ModelDeploymentMonitoringBigQueryTable) GetLogType 

func (x *ModelDeploymentMonitoringBigQueryTable) GetLogType() ModelDeploymentMonitoringBigQueryTable_LogType

func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage 

func (*ModelDeploymentMonitoringBigQueryTable) ProtoMessage()

func (*ModelDeploymentMonitoringBigQueryTable) ProtoReflect 

func (x *ModelDeploymentMonitoringBigQueryTable) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringBigQueryTable) Reset 

func (x *ModelDeploymentMonitoringBigQueryTable) Reset()

func (*ModelDeploymentMonitoringBigQueryTable) String 

func (x *ModelDeploymentMonitoringBigQueryTable) String() string

type ModelDeploymentMonitoringBigQueryTable_LogSource 

type ModelDeploymentMonitoringBigQueryTable_LogSource int32

Indicates where does the log come from. 

const (
	// Unspecified source.
	ModelDeploymentMonitoringBigQueryTable_LOG_SOURCE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogSource = 0
	// Logs coming from Training dataset.
	ModelDeploymentMonitoringBigQueryTable_TRAINING ModelDeploymentMonitoringBigQueryTable_LogSource = 1
	// Logs coming from Serving traffic.
	ModelDeploymentMonitoringBigQueryTable_SERVING ModelDeploymentMonitoringBigQueryTable_LogSource = 2
)

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor 

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Enum 

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Enum() *ModelDeploymentMonitoringBigQueryTable_LogSource

func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor deprecated 

func (ModelDeploymentMonitoringBigQueryTable_LogSource) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogSource.Descriptor instead.

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Number 

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringBigQueryTable_LogSource) String 

func (x ModelDeploymentMonitoringBigQueryTable_LogSource) String() string

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Type 

func (ModelDeploymentMonitoringBigQueryTable_LogSource) Type() protoreflect.EnumType

type ModelDeploymentMonitoringBigQueryTable_LogType 

type ModelDeploymentMonitoringBigQueryTable_LogType int32

Indicates what type of traffic does the log belong to. 

const (
	// Unspecified type.
	ModelDeploymentMonitoringBigQueryTable_LOG_TYPE_UNSPECIFIED ModelDeploymentMonitoringBigQueryTable_LogType = 0
	// Predict logs.
	ModelDeploymentMonitoringBigQueryTable_PREDICT ModelDeploymentMonitoringBigQueryTable_LogType = 1
	// Explain logs.
	ModelDeploymentMonitoringBigQueryTable_EXPLAIN ModelDeploymentMonitoringBigQueryTable_LogType = 2
)

func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor 

func (ModelDeploymentMonitoringBigQueryTable_LogType) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringBigQueryTable_LogType) Enum 

func (x ModelDeploymentMonitoringBigQueryTable_LogType) Enum() *ModelDeploymentMonitoringBigQueryTable_LogType

func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor deprecated 

func (ModelDeploymentMonitoringBigQueryTable_LogType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringBigQueryTable_LogType.Descriptor instead.

func (ModelDeploymentMonitoringBigQueryTable_LogType) Number 

func (x ModelDeploymentMonitoringBigQueryTable_LogType) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringBigQueryTable_LogType) String 

func (x ModelDeploymentMonitoringBigQueryTable_LogType) String() string

func (ModelDeploymentMonitoringBigQueryTable_LogType) Type 

func (ModelDeploymentMonitoringBigQueryTable_LogType) Type() protoreflect.EnumType

type ModelDeploymentMonitoringJob 

type ModelDeploymentMonitoringJob struct {

	// Output only. Resource name of a ModelDeploymentMonitoringJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the ModelDeploymentMonitoringJob.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	// Display name of a ModelDeploymentMonitoringJob.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Endpoint resource name.
	// Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,3,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Output only. The detailed state of the monitoring job.
	// When the job is still creating, the state will be 'PENDING'.
	// Once the job is successfully created, the state will be 'RUNNING'.
	// Pause the job, the state will be 'PAUSED'.
	// Resume the job, the state will return to 'RUNNING'.
	State JobState `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.JobState" json:"state,omitempty"`
	// Output only. Schedule state when the monitoring job is in Running state.
	ScheduleState ModelDeploymentMonitoringJob_MonitoringScheduleState `` /* 191-byte string literal not displayed */
	// Required. The config for monitoring objectives. This is a per DeployedModel config.
	// Each DeployedModel needs to be configed separately.
	ModelDeploymentMonitoringObjectiveConfigs []*ModelDeploymentMonitoringObjectiveConfig `` /* 190-byte string literal not displayed */
	// Required. Schedule config for running the monitoring job.
	ModelDeploymentMonitoringScheduleConfig *ModelDeploymentMonitoringScheduleConfig `` /* 184-byte string literal not displayed */
	// Required. Sample Strategy for logging.
	LoggingSamplingStrategy *SamplingStrategy `` /* 132-byte string literal not displayed */
	// Alert config for model monitoring.
	ModelMonitoringAlertConfig *ModelMonitoringAlertConfig `` /* 144-byte string literal not displayed */
	// YAML schema file uri describing the format of a single instance,
	// which are given to format this Endpoint's prediction (and explanation).
	// If not set, we will generate predict schema from collected predict
	// requests.
	PredictInstanceSchemaUri string `` /* 137-byte string literal not displayed */
	// Sample Predict instance, same format as [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
	// this can be set as a replacement of
	// [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri]. If not set,
	// we will generate predict schema from collected predict requests.
	SamplePredictInstance *structpb.Value `` /* 127-byte string literal not displayed */
	// YAML schema file uri describing the format of a single instance that you
	// want Tensorflow Data Validation (TFDV) to analyze.
	//
	// If this field is empty, all the feature data types are inferred from
	// [predict_instance_schema_uri][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
	// meaning that TFDV will use the data in the exact format(data type) as
	// prediction request/response.
	// If there are any data type differences between predict instance and TFDV
	// instance, this field can be used to override the schema.
	// For models trained with Vertex AI, this field must be set as all the
	// fields in predict instance formatted as string.
	AnalysisInstanceSchemaUri string `` /* 141-byte string literal not displayed */
	// Output only. The created bigquery tables for the job under customer project. Customer
	// could do their own query & analysis. There could be 4 log tables in
	// maximum:
	// 1. Training data logging predict request/response
	// 2. Serving data logging predict request/response
	BigqueryTables []*ModelDeploymentMonitoringBigQueryTable `protobuf:"bytes,10,rep,name=bigquery_tables,json=bigqueryTables,proto3" json:"bigquery_tables,omitempty"`
	// The TTL of BigQuery tables in user projects which stores logs.
	// A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
	// day). e.g. { second: 3600} indicates ttl = 1 day.
	LogTtl *durationpb.Duration `protobuf:"bytes,17,opt,name=log_ttl,json=logTtl,proto3" json:"log_ttl,omitempty"`
	// The labels with user-defined metadata to organize your
	// ModelDeploymentMonitoringJob.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this ModelDeploymentMonitoringJob was updated most recently.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Timestamp when this monitoring pipeline will be scheduled to run for the
	// next round.
	NextScheduleTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=next_schedule_time,json=nextScheduleTime,proto3" json:"next_schedule_time,omitempty"`
	// Stats anomalies base folder path.
	StatsAnomaliesBaseDirectory *GcsDestination `` /* 147-byte string literal not displayed */
	// contains filtered or unexported fields
}

Represents a job that runs periodically to monitor the deployed models in an endpoint. It will analyze the logged training & prediction data to detect any abnormal behaviors.

func (*ModelDeploymentMonitoringJob) Descriptor deprecated 

func (*ModelDeploymentMonitoringJob) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri 

func (x *ModelDeploymentMonitoringJob) GetAnalysisInstanceSchemaUri() string

func (*ModelDeploymentMonitoringJob) GetBigqueryTables 

func (x *ModelDeploymentMonitoringJob) GetBigqueryTables() []*ModelDeploymentMonitoringBigQueryTable

func (*ModelDeploymentMonitoringJob) GetCreateTime 

func (x *ModelDeploymentMonitoringJob) GetCreateTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) GetDisplayName 

func (x *ModelDeploymentMonitoringJob) GetDisplayName() string

func (*ModelDeploymentMonitoringJob) GetEndpoint 

func (x *ModelDeploymentMonitoringJob) GetEndpoint() string

func (*ModelDeploymentMonitoringJob) GetLabels 

func (x *ModelDeploymentMonitoringJob) GetLabels() map[string]string

func (*ModelDeploymentMonitoringJob) GetLogTtl 

func (x *ModelDeploymentMonitoringJob) GetLogTtl() *durationpb.Duration

func (*ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy 

func (x *ModelDeploymentMonitoringJob) GetLoggingSamplingStrategy() *SamplingStrategy

func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs 

func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringObjectiveConfigs() []*ModelDeploymentMonitoringObjectiveConfig

func (*ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig 

func (x *ModelDeploymentMonitoringJob) GetModelDeploymentMonitoringScheduleConfig() *ModelDeploymentMonitoringScheduleConfig

func (*ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig 

func (x *ModelDeploymentMonitoringJob) GetModelMonitoringAlertConfig() *ModelMonitoringAlertConfig

func (*ModelDeploymentMonitoringJob) GetName 

func (x *ModelDeploymentMonitoringJob) GetName() string

func (*ModelDeploymentMonitoringJob) GetNextScheduleTime 

func (x *ModelDeploymentMonitoringJob) GetNextScheduleTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri 

func (x *ModelDeploymentMonitoringJob) GetPredictInstanceSchemaUri() string

func (*ModelDeploymentMonitoringJob) GetSamplePredictInstance 

func (x *ModelDeploymentMonitoringJob) GetSamplePredictInstance() *structpb.Value

func (*ModelDeploymentMonitoringJob) GetScheduleState 

func (x *ModelDeploymentMonitoringJob) GetScheduleState() ModelDeploymentMonitoringJob_MonitoringScheduleState

func (*ModelDeploymentMonitoringJob) GetState 

func (x *ModelDeploymentMonitoringJob) GetState() JobState

func (*ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory 

func (x *ModelDeploymentMonitoringJob) GetStatsAnomaliesBaseDirectory() *GcsDestination

func (*ModelDeploymentMonitoringJob) GetUpdateTime 

func (x *ModelDeploymentMonitoringJob) GetUpdateTime() *timestamppb.Timestamp

func (*ModelDeploymentMonitoringJob) ProtoMessage 

func (*ModelDeploymentMonitoringJob) ProtoMessage()

func (*ModelDeploymentMonitoringJob) ProtoReflect 

func (x *ModelDeploymentMonitoringJob) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringJob) Reset 

func (x *ModelDeploymentMonitoringJob) Reset()

func (*ModelDeploymentMonitoringJob) String 

func (x *ModelDeploymentMonitoringJob) String() string

type ModelDeploymentMonitoringJob_MonitoringScheduleState 

type ModelDeploymentMonitoringJob_MonitoringScheduleState int32

The state to Specify the monitoring pipeline. 

const (
	// Unspecified state.
	ModelDeploymentMonitoringJob_MONITORING_SCHEDULE_STATE_UNSPECIFIED ModelDeploymentMonitoringJob_MonitoringScheduleState = 0
	// The pipeline is picked up and wait to run.
	ModelDeploymentMonitoringJob_PENDING ModelDeploymentMonitoringJob_MonitoringScheduleState = 1
	// The pipeline is offline and will be scheduled for next run.
	ModelDeploymentMonitoringJob_OFFLINE ModelDeploymentMonitoringJob_MonitoringScheduleState = 2
	// The pipeline is running.
	ModelDeploymentMonitoringJob_RUNNING ModelDeploymentMonitoringJob_MonitoringScheduleState = 3
)

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor 

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum 

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Enum() *ModelDeploymentMonitoringJob_MonitoringScheduleState

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor deprecated 

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringJob_MonitoringScheduleState.Descriptor instead.

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Number 

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) String 

func (x ModelDeploymentMonitoringJob_MonitoringScheduleState) String() string

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Type 

func (ModelDeploymentMonitoringJob_MonitoringScheduleState) Type() protoreflect.EnumType

type ModelDeploymentMonitoringObjectiveConfig 

type ModelDeploymentMonitoringObjectiveConfig struct {

	// The DeployedModel ID of the objective config.
	DeployedModelId string `protobuf:"bytes,1,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The objective config of for the modelmonitoring job of this deployed model.
	ObjectiveConfig *ModelMonitoringObjectiveConfig `protobuf:"bytes,2,opt,name=objective_config,json=objectiveConfig,proto3" json:"objective_config,omitempty"`
	// contains filtered or unexported fields
}

ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.

func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor deprecated 

func (*ModelDeploymentMonitoringObjectiveConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId 

func (x *ModelDeploymentMonitoringObjectiveConfig) GetDeployedModelId() string

func (*ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig 

func (x *ModelDeploymentMonitoringObjectiveConfig) GetObjectiveConfig() *ModelMonitoringObjectiveConfig

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage 

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoMessage()

func (*ModelDeploymentMonitoringObjectiveConfig) ProtoReflect 

func (x *ModelDeploymentMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringObjectiveConfig) Reset 

func (x *ModelDeploymentMonitoringObjectiveConfig) Reset()

func (*ModelDeploymentMonitoringObjectiveConfig) String 

func (x *ModelDeploymentMonitoringObjectiveConfig) String() string

type ModelDeploymentMonitoringObjectiveType 

type ModelDeploymentMonitoringObjectiveType int32

The Model Monitoring Objective types. 

const (
	// Default value, should not be set.
	ModelDeploymentMonitoringObjectiveType_MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED ModelDeploymentMonitoringObjectiveType = 0
	// Raw feature values' stats to detect skew between Training-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_SKEW ModelDeploymentMonitoringObjectiveType = 1
	// Raw feature values' stats to detect drift between Serving-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_RAW_FEATURE_DRIFT ModelDeploymentMonitoringObjectiveType = 2
	// Feature attribution scores to detect skew between Training-Prediction
	// datasets.
	ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_SKEW ModelDeploymentMonitoringObjectiveType = 3
	// Feature attribution scores to detect skew between Prediction datasets
	// collected within different time windows.
	ModelDeploymentMonitoringObjectiveType_FEATURE_ATTRIBUTION_DRIFT ModelDeploymentMonitoringObjectiveType = 4
)

func (ModelDeploymentMonitoringObjectiveType) Descriptor 

func (ModelDeploymentMonitoringObjectiveType) Descriptor() protoreflect.EnumDescriptor

func (ModelDeploymentMonitoringObjectiveType) Enum 

func (x ModelDeploymentMonitoringObjectiveType) Enum() *ModelDeploymentMonitoringObjectiveType

func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor deprecated 

func (ModelDeploymentMonitoringObjectiveType) EnumDescriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringObjectiveType.Descriptor instead.

func (ModelDeploymentMonitoringObjectiveType) Number 

func (x ModelDeploymentMonitoringObjectiveType) Number() protoreflect.EnumNumber

func (ModelDeploymentMonitoringObjectiveType) String 

func (x ModelDeploymentMonitoringObjectiveType) String() string

func (ModelDeploymentMonitoringObjectiveType) Type 

func (ModelDeploymentMonitoringObjectiveType) Type() protoreflect.EnumType

type ModelDeploymentMonitoringScheduleConfig 

type ModelDeploymentMonitoringScheduleConfig struct {

	// Required. The model monitoring job running interval. It will be rounded up to next
	// full hour.
	MonitorInterval *durationpb.Duration `protobuf:"bytes,1,opt,name=monitor_interval,json=monitorInterval,proto3" json:"monitor_interval,omitempty"`
	// contains filtered or unexported fields
}

The config for scheduling monitoring job.

func (*ModelDeploymentMonitoringScheduleConfig) Descriptor deprecated 

func (*ModelDeploymentMonitoringScheduleConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelDeploymentMonitoringScheduleConfig.ProtoReflect.Descriptor instead.

func (*ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval 

func (x *ModelDeploymentMonitoringScheduleConfig) GetMonitorInterval() *durationpb.Duration

func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage 

func (*ModelDeploymentMonitoringScheduleConfig) ProtoMessage()

func (*ModelDeploymentMonitoringScheduleConfig) ProtoReflect 

func (x *ModelDeploymentMonitoringScheduleConfig) ProtoReflect() protoreflect.Message

func (*ModelDeploymentMonitoringScheduleConfig) Reset 

func (x *ModelDeploymentMonitoringScheduleConfig) Reset()

func (*ModelDeploymentMonitoringScheduleConfig) String 

func (x *ModelDeploymentMonitoringScheduleConfig) String() string

type ModelEvaluation 

type ModelEvaluation struct {

	// Output only. The resource name of the ModelEvaluation.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Points to a YAML file stored on Google Cloud Storage describing the
	// [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is
	// defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	MetricsSchemaUri string `protobuf:"bytes,2,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
	// Output only. Evaluation metrics of the Model. The schema of the metrics is stored in
	// [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
	Metrics *structpb.Value `protobuf:"bytes,3,opt,name=metrics,proto3" json:"metrics,omitempty"`
	// Output only. Timestamp when this ModelEvaluation was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of
	// ModelEvaluationSlices. The dimensions can be used as the filter of the
	// [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of
	// `slice.dimension = <dimension>`.
	SliceDimensions []string `protobuf:"bytes,5,rep,name=slice_dimensions,json=sliceDimensions,proto3" json:"slice_dimensions,omitempty"`
	// Output only. Aggregated explanation metrics for the Model's prediction output over the
	// data this ModelEvaluation uses. This field is populated only if the Model
	// is evaluated with explanations, and only for AutoML tabular Models.
	//
	ModelExplanation *ModelExplanation `protobuf:"bytes,8,opt,name=model_explanation,json=modelExplanation,proto3" json:"model_explanation,omitempty"`
	// Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
	// the predicted values on the evaluated data.
	ExplanationSpecs []*ModelEvaluation_ModelEvaluationExplanationSpec `protobuf:"bytes,9,rep,name=explanation_specs,json=explanationSpecs,proto3" json:"explanation_specs,omitempty"`
	// contains filtered or unexported fields
}

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

func (*ModelEvaluation) Descriptor deprecated 

func (*ModelEvaluation) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluation.ProtoReflect.Descriptor instead.

func (*ModelEvaluation) GetCreateTime 

func (x *ModelEvaluation) GetCreateTime() *timestamppb.Timestamp

func (*ModelEvaluation) GetExplanationSpecs 

func (x *ModelEvaluation) GetExplanationSpecs() []*ModelEvaluation_ModelEvaluationExplanationSpec

func (*ModelEvaluation) GetMetrics 

func (x *ModelEvaluation) GetMetrics() *structpb.Value

func (*ModelEvaluation) GetMetricsSchemaUri 

func (x *ModelEvaluation) GetMetricsSchemaUri() string

func (*ModelEvaluation) GetModelExplanation 

func (x *ModelEvaluation) GetModelExplanation() *ModelExplanation

func (*ModelEvaluation) GetName 

func (x *ModelEvaluation) GetName() string

func (*ModelEvaluation) GetSliceDimensions 

func (x *ModelEvaluation) GetSliceDimensions() []string

func (*ModelEvaluation) ProtoMessage 

func (*ModelEvaluation) ProtoMessage()

func (*ModelEvaluation) ProtoReflect 

func (x *ModelEvaluation) ProtoReflect() protoreflect.Message

func (*ModelEvaluation) Reset 

func (x *ModelEvaluation) Reset()

func (*ModelEvaluation) String 

func (x *ModelEvaluation) String() string

type ModelEvaluationSlice 

type ModelEvaluationSlice struct {

	// Output only. The resource name of the ModelEvaluationSlice.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. The slice of the test data that is used to evaluate the Model.
	Slice *ModelEvaluationSlice_Slice `protobuf:"bytes,2,opt,name=slice,proto3" json:"slice,omitempty"`
	// Output only. Points to a YAML file stored on Google Cloud Storage describing the
	// [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics] of this ModelEvaluationSlice. The
	// schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	MetricsSchemaUri string `protobuf:"bytes,3,opt,name=metrics_schema_uri,json=metricsSchemaUri,proto3" json:"metrics_schema_uri,omitempty"`
	// Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored
	// in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.metrics_schema_uri]
	Metrics *structpb.Value `protobuf:"bytes,4,opt,name=metrics,proto3" json:"metrics,omitempty"`
	// Output only. Timestamp when this ModelEvaluationSlice was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// contains filtered or unexported fields
}

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

func (*ModelEvaluationSlice) Descriptor deprecated 

func (*ModelEvaluationSlice) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice) GetCreateTime 

func (x *ModelEvaluationSlice) GetCreateTime() *timestamppb.Timestamp

func (*ModelEvaluationSlice) GetMetrics 

func (x *ModelEvaluationSlice) GetMetrics() *structpb.Value

func (*ModelEvaluationSlice) GetMetricsSchemaUri 

func (x *ModelEvaluationSlice) GetMetricsSchemaUri() string

func (*ModelEvaluationSlice) GetName 

func (x *ModelEvaluationSlice) GetName() string

func (*ModelEvaluationSlice) GetSlice 

func (x *ModelEvaluationSlice) GetSlice() *ModelEvaluationSlice_Slice

func (*ModelEvaluationSlice) ProtoMessage 

func (*ModelEvaluationSlice) ProtoMessage()

func (*ModelEvaluationSlice) ProtoReflect 

func (x *ModelEvaluationSlice) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice) Reset 

func (x *ModelEvaluationSlice) Reset()

func (*ModelEvaluationSlice) String 

func (x *ModelEvaluationSlice) String() string

type ModelEvaluationSlice_Slice 

type ModelEvaluationSlice_Slice struct {

	// Output only. The dimension of the slice.
	// Well-known dimensions are:
	//   * `annotationSpec`: This slice is on the test data that has either
	//     ground truth or prediction with [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
	//     equals to [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
	Dimension string `protobuf:"bytes,1,opt,name=dimension,proto3" json:"dimension,omitempty"`
	// Output only. The value of the dimension in this slice.
	Value string `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

Definition of a slice.

func (*ModelEvaluationSlice_Slice) Descriptor deprecated 

func (*ModelEvaluationSlice_Slice) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluationSlice_Slice.ProtoReflect.Descriptor instead.

func (*ModelEvaluationSlice_Slice) GetDimension 

func (x *ModelEvaluationSlice_Slice) GetDimension() string

func (*ModelEvaluationSlice_Slice) GetValue 

func (x *ModelEvaluationSlice_Slice) GetValue() string

func (*ModelEvaluationSlice_Slice) ProtoMessage 

func (*ModelEvaluationSlice_Slice) ProtoMessage()

func (*ModelEvaluationSlice_Slice) ProtoReflect 

func (x *ModelEvaluationSlice_Slice) ProtoReflect() protoreflect.Message

func (*ModelEvaluationSlice_Slice) Reset 

func (x *ModelEvaluationSlice_Slice) Reset()

func (*ModelEvaluationSlice_Slice) String 

func (x *ModelEvaluationSlice_Slice) String() string

type ModelEvaluation_ModelEvaluationExplanationSpec 

type ModelEvaluation_ModelEvaluationExplanationSpec struct {

	// Explanation type.
	//
	// For AutoML Image Classification models, possible values are:
	//
	//   * `image-integrated-gradients`
	//   * `image-xrai`
	ExplanationType string `protobuf:"bytes,1,opt,name=explanation_type,json=explanationType,proto3" json:"explanation_type,omitempty"`
	// Explanation spec details.
	ExplanationSpec *ExplanationSpec `protobuf:"bytes,2,opt,name=explanation_spec,json=explanationSpec,proto3" json:"explanation_spec,omitempty"`
	// contains filtered or unexported fields
}

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor deprecated 

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Descriptor() ([]byte, []int)

Deprecated: Use ModelEvaluation_ModelEvaluationExplanationSpec.ProtoReflect.Descriptor instead.

func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationSpec() *ExplanationSpec

func (*ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) GetExplanationType() string

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage 

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoMessage()

func (*ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) ProtoReflect() protoreflect.Message

func (*ModelEvaluation_ModelEvaluationExplanationSpec) Reset 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) Reset()

func (*ModelEvaluation_ModelEvaluationExplanationSpec) String 

func (x *ModelEvaluation_ModelEvaluationExplanationSpec) String() string

type ModelExplanation 

type ModelExplanation struct {

	// Output only. Aggregated attributions explaining the Model's prediction outputs over the
	// set of instances. The attributions are grouped by outputs.
	//
	// For Models that predict only one output, such as regression Models that
	// predict only one score, there is only one attibution that explains the
	// predicted output. For Models that predict multiple outputs, such as
	// multiclass Models that predict multiple classes, each element explains one
	// specific item. [Attribution.output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] can be used to identify which
	// output this attribution is explaining.
	//
	// The [baselineOutputValue][google.cloud.aiplatform.v1beta1.Attribution.baseline_output_value],
	// [instanceOutputValue][google.cloud.aiplatform.v1beta1.Attribution.instance_output_value] and
	// [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] fields are
	// averaged over the test data.
	//
	// NOTE: Currently AutoML tabular classification Models produce only one
	// attribution, which averages attributions over all the classes it predicts.
	// [Attribution.approximation_error][google.cloud.aiplatform.v1beta1.Attribution.approximation_error] is not populated.
	MeanAttributions []*Attribution `protobuf:"bytes,1,rep,name=mean_attributions,json=meanAttributions,proto3" json:"mean_attributions,omitempty"`
	// contains filtered or unexported fields
}

Aggregated explanation metrics for a Model over a set of instances.

func (*ModelExplanation) Descriptor deprecated 

func (*ModelExplanation) Descriptor() ([]byte, []int)

Deprecated: Use ModelExplanation.ProtoReflect.Descriptor instead.

func (*ModelExplanation) GetMeanAttributions 

func (x *ModelExplanation) GetMeanAttributions() []*Attribution

func (*ModelExplanation) ProtoMessage 

func (*ModelExplanation) ProtoMessage()

func (*ModelExplanation) ProtoReflect 

func (x *ModelExplanation) ProtoReflect() protoreflect.Message

func (*ModelExplanation) Reset 

func (x *ModelExplanation) Reset()

func (*ModelExplanation) String 

func (x *ModelExplanation) String() string

type ModelMonitoringAlertConfig 

type ModelMonitoringAlertConfig struct {

	// Types that are assignable to Alert:
	//	*ModelMonitoringAlertConfig_EmailAlertConfig_
	Alert isModelMonitoringAlertConfig_Alert `protobuf_oneof:"alert"`
	// contains filtered or unexported fields
}

Next ID: 2

func (*ModelMonitoringAlertConfig) Descriptor deprecated 

func (*ModelMonitoringAlertConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringAlertConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringAlertConfig) GetAlert 

func (m *ModelMonitoringAlertConfig) GetAlert() isModelMonitoringAlertConfig_Alert

func (*ModelMonitoringAlertConfig) GetEmailAlertConfig 

func (x *ModelMonitoringAlertConfig) GetEmailAlertConfig() *ModelMonitoringAlertConfig_EmailAlertConfig

func (*ModelMonitoringAlertConfig) ProtoMessage 

func (*ModelMonitoringAlertConfig) ProtoMessage()

func (*ModelMonitoringAlertConfig) ProtoReflect 

func (x *ModelMonitoringAlertConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringAlertConfig) Reset 

func (x *ModelMonitoringAlertConfig) Reset()

func (*ModelMonitoringAlertConfig) String 

func (x *ModelMonitoringAlertConfig) String() string

type ModelMonitoringAlertConfig_EmailAlertConfig 

type ModelMonitoringAlertConfig_EmailAlertConfig struct {

	// The email addresses to send the alert.
	UserEmails []string `protobuf:"bytes,1,rep,name=user_emails,json=userEmails,proto3" json:"user_emails,omitempty"`
	// contains filtered or unexported fields
}

The config for email alert.

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor deprecated 

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringAlertConfig_EmailAlertConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) GetUserEmails() []string

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage 

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoMessage()

func (*ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringAlertConfig_EmailAlertConfig) Reset 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) Reset()

func (*ModelMonitoringAlertConfig_EmailAlertConfig) String 

func (x *ModelMonitoringAlertConfig_EmailAlertConfig) String() string

type ModelMonitoringAlertConfig_EmailAlertConfig_ 

type ModelMonitoringAlertConfig_EmailAlertConfig_ struct {
	// Email alert config.
	EmailAlertConfig *ModelMonitoringAlertConfig_EmailAlertConfig `protobuf:"bytes,1,opt,name=email_alert_config,json=emailAlertConfig,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig 

type ModelMonitoringObjectiveConfig struct {

	// Training dataset for models. This field has to be set only if
	// TrainingPredictionSkewDetectionConfig is specified.
	TrainingDataset *ModelMonitoringObjectiveConfig_TrainingDataset `protobuf:"bytes,1,opt,name=training_dataset,json=trainingDataset,proto3" json:"training_dataset,omitempty"`
	// The config for skew between training data and prediction data.
	TrainingPredictionSkewDetectionConfig *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig `` /* 178-byte string literal not displayed */
	// The config for drift of prediction data.
	PredictionDriftDetectionConfig *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig `` /* 155-byte string literal not displayed */
	// contains filtered or unexported fields
}

Next ID: 6

func (*ModelMonitoringObjectiveConfig) Descriptor deprecated 

func (*ModelMonitoringObjectiveConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig 

func (x *ModelMonitoringObjectiveConfig) GetPredictionDriftDetectionConfig() *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig

func (*ModelMonitoringObjectiveConfig) GetTrainingDataset 

func (x *ModelMonitoringObjectiveConfig) GetTrainingDataset() *ModelMonitoringObjectiveConfig_TrainingDataset

func (*ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig 

func (x *ModelMonitoringObjectiveConfig) GetTrainingPredictionSkewDetectionConfig() *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig

func (*ModelMonitoringObjectiveConfig) ProtoMessage 

func (*ModelMonitoringObjectiveConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig) Reset 

func (x *ModelMonitoringObjectiveConfig) Reset()

func (*ModelMonitoringObjectiveConfig) String 

func (x *ModelMonitoringObjectiveConfig) String() string

type ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig 

type ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig struct {

	// Key is the feature name and value is the threshold. If a feature needs to
	// be monitored for drift, a value threshold must be configed for that
	// feature. The threshold here is against feature distribution distance
	// between different time windws.
	DriftThresholds map[string]*ThresholdConfig `` /* 194-byte string literal not displayed */
	// contains filtered or unexported fields
}

The config for Prediction data drift detection.

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor deprecated 

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) GetDriftThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) Reset()

func (*ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String 

func (x *ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig) String() string

type ModelMonitoringObjectiveConfig_TrainingDataset 

type ModelMonitoringObjectiveConfig_TrainingDataset struct {

	// Types that are assignable to DataSource:
	//	*ModelMonitoringObjectiveConfig_TrainingDataset_Dataset
	//	*ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource
	//	*ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource
	DataSource isModelMonitoringObjectiveConfig_TrainingDataset_DataSource `protobuf_oneof:"data_source"`
	// Data format of the dataset, only applicable if the input is from
	// Google Cloud Storage.
	// The possible formats are:
	//
	// "tf-record"
	// The source file is a TFRecord file.
	//
	// "csv"
	// The source file is a CSV file.
	DataFormat string `protobuf:"bytes,2,opt,name=data_format,json=dataFormat,proto3" json:"data_format,omitempty"`
	// The target field name the model is to predict.
	// This field will be excluded when doing Predict and (or) Explain for the
	// training data.
	TargetField string `protobuf:"bytes,6,opt,name=target_field,json=targetField,proto3" json:"target_field,omitempty"`
	// Strategy to sample data from Training Dataset.
	// If not set, we process the whole dataset.
	LoggingSamplingStrategy *SamplingStrategy `` /* 132-byte string literal not displayed */
	// contains filtered or unexported fields
}

Training Dataset information.

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor deprecated 

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_TrainingDataset.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetBigquerySource() *BigQuerySource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataFormat() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource 

func (m *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataSource() isModelMonitoringObjectiveConfig_TrainingDataset_DataSource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetDataset() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetGcsSource() *GcsSource

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetLoggingSamplingStrategy() *SamplingStrategy

func (*ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) GetTargetField() string

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_TrainingDataset) Reset 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) Reset()

func (*ModelMonitoringObjectiveConfig_TrainingDataset) String 

func (x *ModelMonitoringObjectiveConfig_TrainingDataset) String() string

type ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource 

type ModelMonitoringObjectiveConfig_TrainingDataset_BigquerySource struct {
	// The BigQuery table of the unmanaged Dataset used to train this
	// Model.
	BigquerySource *BigQuerySource `protobuf:"bytes,5,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_TrainingDataset_Dataset 

type ModelMonitoringObjectiveConfig_TrainingDataset_Dataset struct {
	// The resource name of the Dataset used to train this Model.
	Dataset string `protobuf:"bytes,3,opt,name=dataset,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource 

type ModelMonitoringObjectiveConfig_TrainingDataset_GcsSource struct {
	// The Google Cloud Storage uri of the unmanaged Dataset used to train
	// this Model.
	GcsSource *GcsSource `protobuf:"bytes,4,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig 

type ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig struct {

	// Key is the feature name and value is the threshold. If a feature needs to
	// be monitored for skew, a value threshold must be configed for that
	// feature. The threshold here is against feature distribution distance
	// between the training and prediction feature.
	SkewThresholds map[string]*ThresholdConfig `` /* 191-byte string literal not displayed */
	// contains filtered or unexported fields
}

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor deprecated 

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig.ProtoReflect.Descriptor instead.

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) GetSkewThresholds() map[string]*ThresholdConfig

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage 

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoMessage()

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) ProtoReflect() protoreflect.Message

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) Reset()

func (*ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String 

func (x *ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig) String() string

type ModelMonitoringStatsAnomalies 

type ModelMonitoringStatsAnomalies struct {

	// Model Monitoring Objective those stats and anomalies belonging to.
	Objective ModelDeploymentMonitoringObjectiveType `` /* 148-byte string literal not displayed */
	// Deployed Model ID.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// Number of anomalies within all stats.
	AnomalyCount int32 `protobuf:"varint,3,opt,name=anomaly_count,json=anomalyCount,proto3" json:"anomaly_count,omitempty"`
	// A list of historical Stats and Anomalies generated for all Features.
	FeatureStats []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies `protobuf:"bytes,4,rep,name=feature_stats,json=featureStats,proto3" json:"feature_stats,omitempty"`
	// contains filtered or unexported fields
}

Statistics and anomalies generated by Model Monitoring.

func (*ModelMonitoringStatsAnomalies) Descriptor deprecated 

func (*ModelMonitoringStatsAnomalies) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringStatsAnomalies.ProtoReflect.Descriptor instead.

func (*ModelMonitoringStatsAnomalies) GetAnomalyCount 

func (x *ModelMonitoringStatsAnomalies) GetAnomalyCount() int32

func (*ModelMonitoringStatsAnomalies) GetDeployedModelId 

func (x *ModelMonitoringStatsAnomalies) GetDeployedModelId() string

func (*ModelMonitoringStatsAnomalies) GetFeatureStats 

func (x *ModelMonitoringStatsAnomalies) GetFeatureStats() []*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies

func (*ModelMonitoringStatsAnomalies) GetObjective 

func (x *ModelMonitoringStatsAnomalies) GetObjective() ModelDeploymentMonitoringObjectiveType

func (*ModelMonitoringStatsAnomalies) ProtoMessage 

func (*ModelMonitoringStatsAnomalies) ProtoMessage()

func (*ModelMonitoringStatsAnomalies) ProtoReflect 

func (x *ModelMonitoringStatsAnomalies) ProtoReflect() protoreflect.Message

func (*ModelMonitoringStatsAnomalies) Reset 

func (x *ModelMonitoringStatsAnomalies) Reset()

func (*ModelMonitoringStatsAnomalies) String 

func (x *ModelMonitoringStatsAnomalies) String() string

type ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies 

type ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies struct {

	// Display Name of the Feature.
	FeatureDisplayName string `protobuf:"bytes,1,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
	// Threshold for anomaly detection.
	Threshold *ThresholdConfig `protobuf:"bytes,3,opt,name=threshold,proto3" json:"threshold,omitempty"`
	// Stats calculated for the Training Dataset.
	TrainingStats *FeatureStatsAnomaly `protobuf:"bytes,4,opt,name=training_stats,json=trainingStats,proto3" json:"training_stats,omitempty"`
	// A list of historical stats generated by different time window's
	// Prediction Dataset.
	PredictionStats []*FeatureStatsAnomaly `protobuf:"bytes,5,rep,name=prediction_stats,json=predictionStats,proto3" json:"prediction_stats,omitempty"`
	// contains filtered or unexported fields
}

Historical Stats (and Anomalies) for a specific Feature.

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor deprecated 

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Descriptor() ([]byte, []int)

Deprecated: Use ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies.ProtoReflect.Descriptor instead.

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetFeatureDisplayName() string

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetPredictionStats() []*FeatureStatsAnomaly

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetThreshold() *ThresholdConfig

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) GetTrainingStats() *FeatureStatsAnomaly

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage 

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoMessage()

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) ProtoReflect() protoreflect.Message

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) Reset()

func (*ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String 

func (x *ModelMonitoringStatsAnomalies_FeatureHistoricStatsAnomalies) String() string

type ModelServiceClient 

type ModelServiceClient interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(ctx context.Context, in *UploadModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a Model.
	GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Lists Models in a Location.
	ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error)
	// Updates a Model.
	UpdateModel(ctx context.Context, in *UpdateModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Deletes a Model.
	// Note: Model can only be deleted if there are no DeployedModels created
	// from it.
	DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Exports a trained, exportable, Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
	ExportModel(ctx context.Context, in *ExportModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(ctx context.Context, in *GetModelEvaluationSliceRequest, opts ...grpc.CallOption) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(ctx context.Context, in *ListModelEvaluationSlicesRequest, opts ...grpc.CallOption) (*ListModelEvaluationSlicesResponse, error)
}

ModelServiceClient is the client API for ModelService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewModelServiceClient 

func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient

type ModelServiceServer 

type ModelServiceServer interface {
	// Uploads a Model artifact into Vertex AI.
	UploadModel(context.Context, *UploadModelRequest) (*longrunning.Operation, error)
	// Gets a Model.
	GetModel(context.Context, *GetModelRequest) (*Model, error)
	// Lists Models in a Location.
	ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
	// Updates a Model.
	UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)
	// Deletes a Model.
	// Note: Model can only be deleted if there are no DeployedModels created
	// from it.
	DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error)
	// Exports a trained, exportable, Model to a location specified by the
	// user. A Model is considered to be exportable if it has at least one
	// [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
	ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error)
	// Gets a ModelEvaluation.
	GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)
	// Lists ModelEvaluations in a Model.
	ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)
	// Gets a ModelEvaluationSlice.
	GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)
	// Lists ModelEvaluationSlices in a ModelEvaluation.
	ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)
}

ModelServiceServer is the server API for ModelService service.

type Model_DeploymentResourcesType 

type Model_DeploymentResourcesType int32

Identifies a type of Model's prediction resources. 

const (
	// Should not be used.
	Model_DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED Model_DeploymentResourcesType = 0
	// Resources that are dedicated to the [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel], and that need a
	// higher degree of manual configuration.
	Model_DEDICATED_RESOURCES Model_DeploymentResourcesType = 1
	// Resources that to large degree are decided by Vertex AI, and require
	// only a modest additional configuration.
	Model_AUTOMATIC_RESOURCES Model_DeploymentResourcesType = 2
)

func (Model_DeploymentResourcesType) Descriptor 

func (Model_DeploymentResourcesType) Descriptor() protoreflect.EnumDescriptor

func (Model_DeploymentResourcesType) Enum 

func (x Model_DeploymentResourcesType) Enum() *Model_DeploymentResourcesType

func (Model_DeploymentResourcesType) EnumDescriptor deprecated 

func (Model_DeploymentResourcesType) EnumDescriptor() ([]byte, []int)

Deprecated: Use Model_DeploymentResourcesType.Descriptor instead.

func (Model_DeploymentResourcesType) Number 

func (x Model_DeploymentResourcesType) Number() protoreflect.EnumNumber

func (Model_DeploymentResourcesType) String 

func (x Model_DeploymentResourcesType) String() string

func (Model_DeploymentResourcesType) Type 

func (Model_DeploymentResourcesType) Type() protoreflect.EnumType

type Model_ExportFormat 

type Model_ExportFormat struct {

	// Output only. The ID of the export format.
	// The possible format IDs are:
	//
	// * `tflite`
	// Used for Android mobile devices.
	//
	// * `edgetpu-tflite`
	// Used for [Edge TPU](https://cloud.google.com/edge-tpu/) devices.
	//
	// * `tf-saved-model`
	// A tensorflow model in SavedModel format.
	//
	// * `tf-js`
	// A [TensorFlow.js](https://www.tensorflow.org/js) model that can be used
	// in the browser and in Node.js using JavaScript.
	//
	// * `core-ml`
	// Used for iOS mobile devices.
	//
	// * `custom-trained`
	// A Model that was uploaded or trained by custom code.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Output only. The content of this Model that may be exported.
	ExportableContents []Model_ExportFormat_ExportableContent `` /* 197-byte string literal not displayed */
	// contains filtered or unexported fields
}

Represents export format supported by the Model. All formats export to Google Cloud Storage.

func (*Model_ExportFormat) Descriptor deprecated 

func (*Model_ExportFormat) Descriptor() ([]byte, []int)

Deprecated: Use Model_ExportFormat.ProtoReflect.Descriptor instead.

func (*Model_ExportFormat) GetExportableContents 

func (x *Model_ExportFormat) GetExportableContents() []Model_ExportFormat_ExportableContent

func (*Model_ExportFormat) GetId 

func (x *Model_ExportFormat) GetId() string

func (*Model_ExportFormat) ProtoMessage 

func (*Model_ExportFormat) ProtoMessage()

func (*Model_ExportFormat) ProtoReflect 

func (x *Model_ExportFormat) ProtoReflect() protoreflect.Message

func (*Model_ExportFormat) Reset 

func (x *Model_ExportFormat) Reset()

func (*Model_ExportFormat) String 

func (x *Model_ExportFormat) String() string

type Model_ExportFormat_ExportableContent 

type Model_ExportFormat_ExportableContent int32

The Model content that can be exported. 

const (
	// Should not be used.
	Model_ExportFormat_EXPORTABLE_CONTENT_UNSPECIFIED Model_ExportFormat_ExportableContent = 0
	// Model artifact and any of its supported files. Will be exported to the
	// location specified by the `artifactDestination` field of the
	// [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
	Model_ExportFormat_ARTIFACT Model_ExportFormat_ExportableContent = 1
	// The container image that is to be used when deploying this Model. Will
	// be exported to the location specified by the `imageDestination` field
	// of the [ExportModelRequest.output_config][google.cloud.aiplatform.v1beta1.ExportModelRequest.output_config] object.
	Model_ExportFormat_IMAGE Model_ExportFormat_ExportableContent = 2
)

func (Model_ExportFormat_ExportableContent) Descriptor 

func (Model_ExportFormat_ExportableContent) Descriptor() protoreflect.EnumDescriptor

func (Model_ExportFormat_ExportableContent) Enum 

func (x Model_ExportFormat_ExportableContent) Enum() *Model_ExportFormat_ExportableContent

func (Model_ExportFormat_ExportableContent) EnumDescriptor deprecated 

func (Model_ExportFormat_ExportableContent) EnumDescriptor() ([]byte, []int)

Deprecated: Use Model_ExportFormat_ExportableContent.Descriptor instead.

func (Model_ExportFormat_ExportableContent) Number 

func (x Model_ExportFormat_ExportableContent) Number() protoreflect.EnumNumber

func (Model_ExportFormat_ExportableContent) String 

func (x Model_ExportFormat_ExportableContent) String() string

func (Model_ExportFormat_ExportableContent) Type 

func (Model_ExportFormat_ExportableContent) Type() protoreflect.EnumType

type NearestNeighborSearchOperationMetadata 

type NearestNeighborSearchOperationMetadata struct {

	// The validation stats of the content (per file) to be inserted or
	// updated on the Matching Engine Index resource. Populated if
	// contentsDeltaUri is provided as part of [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata]. Please note
	// that, currently for those files that are broken or has unsupported file
	// format, we will not have the stats for those files.
	ContentValidationStats []*NearestNeighborSearchOperationMetadata_ContentValidationStats `` /* 129-byte string literal not displayed */
	// contains filtered or unexported fields
}

Runtime operation metadata with regard to Matching Engine Index.

func (*NearestNeighborSearchOperationMetadata) Descriptor deprecated 

func (*NearestNeighborSearchOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata) GetContentValidationStats 

func (x *NearestNeighborSearchOperationMetadata) GetContentValidationStats() []*NearestNeighborSearchOperationMetadata_ContentValidationStats

func (*NearestNeighborSearchOperationMetadata) ProtoMessage 

func (*NearestNeighborSearchOperationMetadata) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata) ProtoReflect 

func (x *NearestNeighborSearchOperationMetadata) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata) Reset 

func (x *NearestNeighborSearchOperationMetadata) Reset()

func (*NearestNeighborSearchOperationMetadata) String 

func (x *NearestNeighborSearchOperationMetadata) String() string

type NearestNeighborSearchOperationMetadata_ContentValidationStats 

type NearestNeighborSearchOperationMetadata_ContentValidationStats struct {

	// Cloud Storage URI pointing to the original file in user's bucket.
	SourceGcsUri string `protobuf:"bytes,1,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`
	// Number of records in this file that were successfully processed.
	ValidRecordCount int64 `protobuf:"varint,2,opt,name=valid_record_count,json=validRecordCount,proto3" json:"valid_record_count,omitempty"`
	// Number of records in this file we skipped due to validate errors.
	InvalidRecordCount int64 `protobuf:"varint,3,opt,name=invalid_record_count,json=invalidRecordCount,proto3" json:"invalid_record_count,omitempty"`
	// The detail information of the partial failures encountered for those
	// invalid records that couldn't be parsed.
	// Up to 50 partial errors will be reported.
	PartialErrors []*NearestNeighborSearchOperationMetadata_RecordError `protobuf:"bytes,4,rep,name=partial_errors,json=partialErrors,proto3" json:"partial_errors,omitempty"`
	// contains filtered or unexported fields
}

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor deprecated 

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_ContentValidationStats.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetInvalidRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetPartialErrors() []*NearestNeighborSearchOperationMetadata_RecordError

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetSourceGcsUri() string

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) GetValidRecordCount() int64

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage 

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) Reset()

func (*NearestNeighborSearchOperationMetadata_ContentValidationStats) String 

func (x *NearestNeighborSearchOperationMetadata_ContentValidationStats) String() string

type NearestNeighborSearchOperationMetadata_RecordError 

type NearestNeighborSearchOperationMetadata_RecordError struct {

	// The error type of this record.
	ErrorType NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType `` /* 193-byte string literal not displayed */
	// A human-readable message that is shown to the user to help them fix the
	// error. Note that this message may change from time to time, your code
	// should check against error_type as the source of truth.
	ErrorMessage string `protobuf:"bytes,2,opt,name=error_message,json=errorMessage,proto3" json:"error_message,omitempty"`
	// Cloud Storage URI pointing to the original file in user's bucket.
	SourceGcsUri string `protobuf:"bytes,3,opt,name=source_gcs_uri,json=sourceGcsUri,proto3" json:"source_gcs_uri,omitempty"`
	// Empty if the embedding id is failed to parse.
	EmbeddingId string `protobuf:"bytes,4,opt,name=embedding_id,json=embeddingId,proto3" json:"embedding_id,omitempty"`
	// The original content of this record.
	RawRecord string `protobuf:"bytes,5,opt,name=raw_record,json=rawRecord,proto3" json:"raw_record,omitempty"`
	// contains filtered or unexported fields
}

func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor deprecated 

func (*NearestNeighborSearchOperationMetadata_RecordError) Descriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError.ProtoReflect.Descriptor instead.

func (*NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetEmbeddingId() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorMessage() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetErrorType 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetErrorType() NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType

func (*NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetRawRecord() string

func (*NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri 

func (x *NearestNeighborSearchOperationMetadata_RecordError) GetSourceGcsUri() string

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage 

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoMessage()

func (*NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect 

func (x *NearestNeighborSearchOperationMetadata_RecordError) ProtoReflect() protoreflect.Message

func (*NearestNeighborSearchOperationMetadata_RecordError) Reset 

func (x *NearestNeighborSearchOperationMetadata_RecordError) Reset()

func (*NearestNeighborSearchOperationMetadata_RecordError) String 

func (x *NearestNeighborSearchOperationMetadata_RecordError) String() string

type NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType 

type NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType int32
const (
	// Default, shall not be used.
	NearestNeighborSearchOperationMetadata_RecordError_ERROR_TYPE_UNSPECIFIED NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 0
	// The record is empty.
	NearestNeighborSearchOperationMetadata_RecordError_EMPTY_LINE NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 1
	// Invalid json format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_JSON_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 2
	// Invalid csv format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_CSV_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 3
	// Invalid avro format.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_AVRO_SYNTAX NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 4
	// The embedding id is not valid.
	NearestNeighborSearchOperationMetadata_RecordError_INVALID_EMBEDDING_ID NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 5
	// The size of the embedding vectors does not match with the specified
	// dimension.
	NearestNeighborSearchOperationMetadata_RecordError_EMBEDDING_SIZE_MISMATCH NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 6
	// The `namespace` field is missing.
	NearestNeighborSearchOperationMetadata_RecordError_NAMESPACE_MISSING NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType = 7
)

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor 

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Descriptor() protoreflect.EnumDescriptor

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum 

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Enum() *NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor deprecated 

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) EnumDescriptor() ([]byte, []int)

Deprecated: Use NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType.Descriptor instead.

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number 

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Number() protoreflect.EnumNumber

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String 

func (x NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) String() string

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type 

func (NearestNeighborSearchOperationMetadata_RecordError_RecordErrorType) Type() protoreflect.EnumType

type PauseModelDeploymentMonitoringJobRequest 

type PauseModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob to pause.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.PauseModelDeploymentMonitoringJob].

func (*PauseModelDeploymentMonitoringJobRequest) Descriptor deprecated 

func (*PauseModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use PauseModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*PauseModelDeploymentMonitoringJobRequest) GetName 

func (x *PauseModelDeploymentMonitoringJobRequest) GetName() string

func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*PauseModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*PauseModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *PauseModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*PauseModelDeploymentMonitoringJobRequest) Reset 

func (x *PauseModelDeploymentMonitoringJobRequest) Reset()

func (*PauseModelDeploymentMonitoringJobRequest) String 

func (x *PauseModelDeploymentMonitoringJobRequest) String() string

type PipelineJob 

type PipelineJob struct {

	// Output only. The resource name of the PipelineJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The display name of the Pipeline.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Pipeline creation time.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Pipeline start time.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Pipeline end time.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Timestamp when this PipelineJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Required. The spec of the pipeline.
	PipelineSpec *structpb.Struct `protobuf:"bytes,7,opt,name=pipeline_spec,json=pipelineSpec,proto3" json:"pipeline_spec,omitempty"`
	// Output only. The detailed state of the job.
	State PipelineState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.PipelineState" json:"state,omitempty"`
	// Output only. The details of pipeline run. Not available in the list view.
	JobDetail *PipelineJobDetail `protobuf:"bytes,9,opt,name=job_detail,json=jobDetail,proto3" json:"job_detail,omitempty"`
	// Output only. The error that occurred during pipeline execution.
	// Only populated when the pipeline's state is FAILED or CANCELLED.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// The labels with user-defined metadata to organize PipelineJob.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Runtime config of the pipeline.
	RuntimeConfig *PipelineJob_RuntimeConfig `protobuf:"bytes,12,opt,name=runtime_config,json=runtimeConfig,proto3" json:"runtime_config,omitempty"`
	// Customer-managed encryption key spec for a pipelineJob. If set, this
	// PipelineJob and all of its sub-resources will be secured by this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,16,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// The service account that the pipeline workload runs as.
	// If not specified, the Compute Engine default service account in the project
	// will be used.
	// See
	// https://cloud.google.com/compute/docs/access/service-accounts#default_service_account
	//
	// Users starting the pipeline must have the `iam.serviceAccounts.actAs`
	// permission on this service account.
	ServiceAccount string `protobuf:"bytes,17,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// The full name of the Compute Engine
	// [network](/compute/docs/networks-and-firewalls#networks) to which the
	// Pipeline Job's workload should be peered. For example,
	// `projects/12345/global/networks/myVPC`.
	// [Format](/compute/docs/reference/rest/v1/networks/insert)
	// is of the form `projects/{project}/global/networks/{network}`.
	// Where {project} is a project number, as in `12345`, and {network} is a
	// network name.
	//
	// Private services access must already be configured for the network.
	// Pipeline job will apply the network configuration to the GCP resources
	// being launched, if applied, such as Vertex AI
	// Training or Dataflow job. If left unspecified, the workload is not peered
	// with any network.
	Network string `protobuf:"bytes,18,opt,name=network,proto3" json:"network,omitempty"`
	// contains filtered or unexported fields
}

An instance of a machine learning PipelineJob.

func (*PipelineJob) Descriptor deprecated 

func (*PipelineJob) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob.ProtoReflect.Descriptor instead.

func (*PipelineJob) GetCreateTime 

func (x *PipelineJob) GetCreateTime() *timestamppb.Timestamp

func (*PipelineJob) GetDisplayName 

func (x *PipelineJob) GetDisplayName() string

func (*PipelineJob) GetEncryptionSpec 

func (x *PipelineJob) GetEncryptionSpec() *EncryptionSpec

func (*PipelineJob) GetEndTime 

func (x *PipelineJob) GetEndTime() *timestamppb.Timestamp

func (*PipelineJob) GetError 

func (x *PipelineJob) GetError() *status.Status

func (*PipelineJob) GetJobDetail 

func (x *PipelineJob) GetJobDetail() *PipelineJobDetail

func (*PipelineJob) GetLabels 

func (x *PipelineJob) GetLabels() map[string]string

func (*PipelineJob) GetName 

func (x *PipelineJob) GetName() string

func (*PipelineJob) GetNetwork 

func (x *PipelineJob) GetNetwork() string

func (*PipelineJob) GetPipelineSpec 

func (x *PipelineJob) GetPipelineSpec() *structpb.Struct

func (*PipelineJob) GetRuntimeConfig 

func (x *PipelineJob) GetRuntimeConfig() *PipelineJob_RuntimeConfig

func (*PipelineJob) GetServiceAccount 

func (x *PipelineJob) GetServiceAccount() string

func (*PipelineJob) GetStartTime 

func (x *PipelineJob) GetStartTime() *timestamppb.Timestamp

func (*PipelineJob) GetState 

func (x *PipelineJob) GetState() PipelineState

func (*PipelineJob) GetUpdateTime 

func (x *PipelineJob) GetUpdateTime() *timestamppb.Timestamp

func (*PipelineJob) ProtoMessage 

func (*PipelineJob) ProtoMessage()

func (*PipelineJob) ProtoReflect 

func (x *PipelineJob) ProtoReflect() protoreflect.Message

func (*PipelineJob) Reset 

func (x *PipelineJob) Reset()

func (*PipelineJob) String 

func (x *PipelineJob) String() string

type PipelineJobDetail 

type PipelineJobDetail struct {

	// Output only. The context of the pipeline.
	PipelineContext *Context `protobuf:"bytes,1,opt,name=pipeline_context,json=pipelineContext,proto3" json:"pipeline_context,omitempty"`
	// Output only. The context of the current pipeline run.
	PipelineRunContext *Context `protobuf:"bytes,2,opt,name=pipeline_run_context,json=pipelineRunContext,proto3" json:"pipeline_run_context,omitempty"`
	// Output only. The runtime details of the tasks under the pipeline.
	TaskDetails []*PipelineTaskDetail `protobuf:"bytes,3,rep,name=task_details,json=taskDetails,proto3" json:"task_details,omitempty"`
	// contains filtered or unexported fields
}

The runtime detail of PipelineJob.

func (*PipelineJobDetail) Descriptor deprecated 

func (*PipelineJobDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJobDetail.ProtoReflect.Descriptor instead.

func (*PipelineJobDetail) GetPipelineContext 

func (x *PipelineJobDetail) GetPipelineContext() *Context

func (*PipelineJobDetail) GetPipelineRunContext 

func (x *PipelineJobDetail) GetPipelineRunContext() *Context

func (*PipelineJobDetail) GetTaskDetails 

func (x *PipelineJobDetail) GetTaskDetails() []*PipelineTaskDetail

func (*PipelineJobDetail) ProtoMessage 

func (*PipelineJobDetail) ProtoMessage()

func (*PipelineJobDetail) ProtoReflect 

func (x *PipelineJobDetail) ProtoReflect() protoreflect.Message

func (*PipelineJobDetail) Reset 

func (x *PipelineJobDetail) Reset()

func (*PipelineJobDetail) String 

func (x *PipelineJobDetail) String() string

type PipelineJob_RuntimeConfig 

type PipelineJob_RuntimeConfig struct {

	// The runtime parameters of the PipelineJob. The parameters will be
	// passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] to replace the placeholders
	// at runtime.
	Parameters map[string]*Value `` /* 161-byte string literal not displayed */
	// Required. A path in a Cloud Storage bucket, which will be treated as the root
	// output directory of the pipeline. It is used by the system to
	// generate the paths of output artifacts. The artifact paths are generated
	// with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the
	// specified output directory. The service account specified in this
	// pipeline must have the `storage.objects.get` and `storage.objects.create`
	// permissions for this bucket.
	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
	// contains filtered or unexported fields
}

The runtime config of a PipelineJob.

func (*PipelineJob_RuntimeConfig) Descriptor deprecated 

func (*PipelineJob_RuntimeConfig) Descriptor() ([]byte, []int)

Deprecated: Use PipelineJob_RuntimeConfig.ProtoReflect.Descriptor instead.

func (*PipelineJob_RuntimeConfig) GetGcsOutputDirectory 

func (x *PipelineJob_RuntimeConfig) GetGcsOutputDirectory() string

func (*PipelineJob_RuntimeConfig) GetParameters 

func (x *PipelineJob_RuntimeConfig) GetParameters() map[string]*Value

func (*PipelineJob_RuntimeConfig) ProtoMessage 

func (*PipelineJob_RuntimeConfig) ProtoMessage()

func (*PipelineJob_RuntimeConfig) ProtoReflect 

func (x *PipelineJob_RuntimeConfig) ProtoReflect() protoreflect.Message

func (*PipelineJob_RuntimeConfig) Reset 

func (x *PipelineJob_RuntimeConfig) Reset()

func (*PipelineJob_RuntimeConfig) String 

func (x *PipelineJob_RuntimeConfig) String() string

type PipelineServiceClient 

type PipelineServiceClient interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(ctx context.Context, in *CreateTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(ctx context.Context, in *GetTrainingPipelineRequest, opts ...grpc.CallOption) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(ctx context.Context, in *ListTrainingPipelinesRequest, opts ...grpc.CallOption) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(ctx context.Context, in *DeleteTrainingPipelineRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or
	// other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
	// `CANCELLED`.
	CancelTrainingPipeline(ctx context.Context, in *CancelTrainingPipelineRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Creates a PipelineJob. A PipelineJob will run immediately when created.
	CreatePipelineJob(ctx context.Context, in *CreatePipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
	// Gets a PipelineJob.
	GetPipelineJob(ctx context.Context, in *GetPipelineJobRequest, opts ...grpc.CallOption) (*PipelineJob, error)
	// Lists PipelineJobs in a Location.
	ListPipelineJobs(ctx context.Context, in *ListPipelineJobsRequest, opts ...grpc.CallOption) (*ListPipelineJobsResponse, error)
	// Deletes a PipelineJob.
	DeletePipelineJob(ctx context.Context, in *DeletePipelineJobRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Cancels a PipelineJob.
	// Starts asynchronous cancellation on the PipelineJob. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the PipelineJob is not deleted; instead it becomes a pipeline with
	// a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to
	// `CANCELLED`.
	CancelPipelineJob(ctx context.Context, in *CancelPipelineJobRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
}

PipelineServiceClient is the client API for PipelineService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewPipelineServiceClient 

func NewPipelineServiceClient(cc grpc.ClientConnInterface) PipelineServiceClient

type PipelineServiceServer 

type PipelineServiceServer interface {
	// Creates a TrainingPipeline. A created TrainingPipeline right away will be
	// attempted to be run.
	CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)
	// Gets a TrainingPipeline.
	GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)
	// Lists TrainingPipelines in a Location.
	ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)
	// Deletes a TrainingPipeline.
	DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunning.Operation, error)
	// Cancels a TrainingPipeline.
	// Starts asynchronous cancellation on the TrainingPipeline. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or
	// other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the TrainingPipeline is not deleted; instead it becomes a pipeline with
	// a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
	// `CANCELLED`.
	CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)
	// Creates a PipelineJob. A PipelineJob will run immediately when created.
	CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)
	// Gets a PipelineJob.
	GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)
	// Lists PipelineJobs in a Location.
	ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)
	// Deletes a PipelineJob.
	DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunning.Operation, error)
	// Cancels a PipelineJob.
	// Starts asynchronous cancellation on the PipelineJob. The server
	// makes a best effort to cancel the pipeline, but success is not
	// guaranteed. Clients can use [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob] or
	// other methods to check whether the cancellation succeeded or whether the
	// pipeline completed despite cancellation. On successful cancellation,
	// the PipelineJob is not deleted; instead it becomes a pipeline with
	// a [PipelineJob.error][google.cloud.aiplatform.v1beta1.PipelineJob.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
	// corresponding to `Code.CANCELLED`, and [PipelineJob.state][google.cloud.aiplatform.v1beta1.PipelineJob.state] is set to
	// `CANCELLED`.
	CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)
}

PipelineServiceServer is the server API for PipelineService service.

type PipelineState 

type PipelineState int32

Describes the state of a pipeline. 

const (
	// The pipeline state is unspecified.
	PipelineState_PIPELINE_STATE_UNSPECIFIED PipelineState = 0
	// The pipeline has been created or resumed, and processing has not yet
	// begun.
	PipelineState_PIPELINE_STATE_QUEUED PipelineState = 1
	// The service is preparing to run the pipeline.
	PipelineState_PIPELINE_STATE_PENDING PipelineState = 2
	// The pipeline is in progress.
	PipelineState_PIPELINE_STATE_RUNNING PipelineState = 3
	// The pipeline completed successfully.
	PipelineState_PIPELINE_STATE_SUCCEEDED PipelineState = 4
	// The pipeline failed.
	PipelineState_PIPELINE_STATE_FAILED PipelineState = 5
	// The pipeline is being cancelled. From this state, the pipeline may only go
	// to either PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED or
	// PIPELINE_STATE_CANCELLED.
	PipelineState_PIPELINE_STATE_CANCELLING PipelineState = 6
	// The pipeline has been cancelled.
	PipelineState_PIPELINE_STATE_CANCELLED PipelineState = 7
	// The pipeline has been stopped, and can be resumed.
	PipelineState_PIPELINE_STATE_PAUSED PipelineState = 8
)

func (PipelineState) Descriptor 

func (PipelineState) Descriptor() protoreflect.EnumDescriptor

func (PipelineState) Enum 

func (x PipelineState) Enum() *PipelineState

func (PipelineState) EnumDescriptor deprecated 

func (PipelineState) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineState.Descriptor instead.

func (PipelineState) Number 

func (x PipelineState) Number() protoreflect.EnumNumber

func (PipelineState) String 

func (x PipelineState) String() string

func (PipelineState) Type 

func (PipelineState) Type() protoreflect.EnumType

type PipelineTaskDetail 

type PipelineTaskDetail struct {

	// Output only. The system generated ID of the task.
	TaskId int64 `protobuf:"varint,1,opt,name=task_id,json=taskId,proto3" json:"task_id,omitempty"`
	// Output only. The id of the parent task if the task is within a component scope.
	// Empty if the task is at the root level.
	ParentTaskId int64 `protobuf:"varint,12,opt,name=parent_task_id,json=parentTaskId,proto3" json:"parent_task_id,omitempty"`
	// Output only. The user specified name of the task that is defined in
	// [PipelineJob.spec][].
	TaskName string `protobuf:"bytes,2,opt,name=task_name,json=taskName,proto3" json:"task_name,omitempty"`
	// Output only. Task create time.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Task start time.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Task end time.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. The detailed execution info.
	ExecutorDetail *PipelineTaskExecutorDetail `protobuf:"bytes,6,opt,name=executor_detail,json=executorDetail,proto3" json:"executor_detail,omitempty"`
	// Output only. State of the task.
	State PipelineTaskDetail_State `` /* 126-byte string literal not displayed */
	// Output only. The execution metadata of the task.
	Execution *Execution `protobuf:"bytes,8,opt,name=execution,proto3" json:"execution,omitempty"`
	// Output only. The error that occurred during task execution.
	// Only populated when the task's state is FAILED or CANCELLED.
	Error *status.Status `protobuf:"bytes,9,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. The runtime input artifacts of the task.
	Inputs map[string]*PipelineTaskDetail_ArtifactList `` /* 154-byte string literal not displayed */
	// Output only. The runtime output artifacts of the task.
	Outputs map[string]*PipelineTaskDetail_ArtifactList `` /* 156-byte string literal not displayed */
	// contains filtered or unexported fields
}

The runtime detail of a task execution.

func (*PipelineTaskDetail) Descriptor deprecated 

func (*PipelineTaskDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail) GetCreateTime 

func (x *PipelineTaskDetail) GetCreateTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetEndTime 

func (x *PipelineTaskDetail) GetEndTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetError 

func (x *PipelineTaskDetail) GetError() *status.Status

func (*PipelineTaskDetail) GetExecution 

func (x *PipelineTaskDetail) GetExecution() *Execution

func (*PipelineTaskDetail) GetExecutorDetail 

func (x *PipelineTaskDetail) GetExecutorDetail() *PipelineTaskExecutorDetail

func (*PipelineTaskDetail) GetInputs 

func (x *PipelineTaskDetail) GetInputs() map[string]*PipelineTaskDetail_ArtifactList

func (*PipelineTaskDetail) GetOutputs 

func (x *PipelineTaskDetail) GetOutputs() map[string]*PipelineTaskDetail_ArtifactList

func (*PipelineTaskDetail) GetParentTaskId 

func (x *PipelineTaskDetail) GetParentTaskId() int64

func (*PipelineTaskDetail) GetStartTime 

func (x *PipelineTaskDetail) GetStartTime() *timestamppb.Timestamp

func (*PipelineTaskDetail) GetState 

func (x *PipelineTaskDetail) GetState() PipelineTaskDetail_State

func (*PipelineTaskDetail) GetTaskId 

func (x *PipelineTaskDetail) GetTaskId() int64

func (*PipelineTaskDetail) GetTaskName 

func (x *PipelineTaskDetail) GetTaskName() string

func (*PipelineTaskDetail) ProtoMessage 

func (*PipelineTaskDetail) ProtoMessage()

func (*PipelineTaskDetail) ProtoReflect 

func (x *PipelineTaskDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail) Reset 

func (x *PipelineTaskDetail) Reset()

func (*PipelineTaskDetail) String 

func (x *PipelineTaskDetail) String() string

type PipelineTaskDetail_ArtifactList 

type PipelineTaskDetail_ArtifactList struct {

	// Output only. A list of artifact metadata.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
	// contains filtered or unexported fields
}

A list of artifact metadata.

func (*PipelineTaskDetail_ArtifactList) Descriptor deprecated 

func (*PipelineTaskDetail_ArtifactList) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_ArtifactList.ProtoReflect.Descriptor instead.

func (*PipelineTaskDetail_ArtifactList) GetArtifacts 

func (x *PipelineTaskDetail_ArtifactList) GetArtifacts() []*Artifact

func (*PipelineTaskDetail_ArtifactList) ProtoMessage 

func (*PipelineTaskDetail_ArtifactList) ProtoMessage()

func (*PipelineTaskDetail_ArtifactList) ProtoReflect 

func (x *PipelineTaskDetail_ArtifactList) ProtoReflect() protoreflect.Message

func (*PipelineTaskDetail_ArtifactList) Reset 

func (x *PipelineTaskDetail_ArtifactList) Reset()

func (*PipelineTaskDetail_ArtifactList) String 

func (x *PipelineTaskDetail_ArtifactList) String() string

type PipelineTaskDetail_State 

type PipelineTaskDetail_State int32

Specifies state of TaskExecution 

const (
	// Unspecified.
	PipelineTaskDetail_STATE_UNSPECIFIED PipelineTaskDetail_State = 0
	// Specifies pending state for the task.
	PipelineTaskDetail_PENDING PipelineTaskDetail_State = 1
	// Specifies task is being executed.
	PipelineTaskDetail_RUNNING PipelineTaskDetail_State = 2
	// Specifies task completed successfully.
	PipelineTaskDetail_SUCCEEDED PipelineTaskDetail_State = 3
	// Specifies Task cancel is in pending state.
	PipelineTaskDetail_CANCEL_PENDING PipelineTaskDetail_State = 4
	// Specifies task is being cancelled.
	PipelineTaskDetail_CANCELLING PipelineTaskDetail_State = 5
	// Specifies task was cancelled.
	PipelineTaskDetail_CANCELLED PipelineTaskDetail_State = 6
	// Specifies task failed.
	PipelineTaskDetail_FAILED PipelineTaskDetail_State = 7
	// Specifies task was skipped due to cache hit.
	PipelineTaskDetail_SKIPPED PipelineTaskDetail_State = 8
	// Specifies that the task was not triggered because the task's trigger
	// policy is not satisfied. The trigger policy is specified in the
	// `condition` field of [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec].
	PipelineTaskDetail_NOT_TRIGGERED PipelineTaskDetail_State = 9
)

func (PipelineTaskDetail_State) Descriptor 

func (PipelineTaskDetail_State) Descriptor() protoreflect.EnumDescriptor

func (PipelineTaskDetail_State) Enum 

func (x PipelineTaskDetail_State) Enum() *PipelineTaskDetail_State

func (PipelineTaskDetail_State) EnumDescriptor deprecated 

func (PipelineTaskDetail_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use PipelineTaskDetail_State.Descriptor instead.

func (PipelineTaskDetail_State) Number 

func (x PipelineTaskDetail_State) Number() protoreflect.EnumNumber

func (PipelineTaskDetail_State) String 

func (x PipelineTaskDetail_State) String() string

func (PipelineTaskDetail_State) Type 

func (PipelineTaskDetail_State) Type() protoreflect.EnumType

type PipelineTaskExecutorDetail 

type PipelineTaskExecutorDetail struct {

	// Types that are assignable to Details:
	//	*PipelineTaskExecutorDetail_ContainerDetail_
	//	*PipelineTaskExecutorDetail_CustomJobDetail_
	Details isPipelineTaskExecutorDetail_Details `protobuf_oneof:"details"`
	// contains filtered or unexported fields
}

The runtime detail of a pipeline executor.

func (*PipelineTaskExecutorDetail) Descriptor deprecated 

func (*PipelineTaskExecutorDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail) GetContainerDetail 

func (x *PipelineTaskExecutorDetail) GetContainerDetail() *PipelineTaskExecutorDetail_ContainerDetail

func (*PipelineTaskExecutorDetail) GetCustomJobDetail deprecated 

func (x *PipelineTaskExecutorDetail) GetCustomJobDetail() *PipelineTaskExecutorDetail_CustomJobDetail

Deprecated: Do not use.

func (*PipelineTaskExecutorDetail) GetDetails 

func (m *PipelineTaskExecutorDetail) GetDetails() isPipelineTaskExecutorDetail_Details

func (*PipelineTaskExecutorDetail) ProtoMessage 

func (*PipelineTaskExecutorDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail) ProtoReflect 

func (x *PipelineTaskExecutorDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail) Reset 

func (x *PipelineTaskExecutorDetail) Reset()

func (*PipelineTaskExecutorDetail) String 

func (x *PipelineTaskExecutorDetail) String() string

type PipelineTaskExecutorDetail_ContainerDetail 

type PipelineTaskExecutorDetail_ContainerDetail struct {

	// Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main container execution.
	MainJob string `protobuf:"bytes,1,opt,name=main_job,json=mainJob,proto3" json:"main_job,omitempty"`
	// Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the pre-caching-check container
	// execution. This job will be available if the
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
	// the lifecycle events.
	PreCachingCheckJob string `protobuf:"bytes,2,opt,name=pre_caching_check_job,json=preCachingCheckJob,proto3" json:"pre_caching_check_job,omitempty"`
	// contains filtered or unexported fields
}

The detail of a container execution. It contains the job names of the lifecycle of a container execution.

func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor deprecated 

func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail_ContainerDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail_ContainerDetail) GetMainJob 

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetMainJob() string

func (*PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob 

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob() string

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage 

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect 

func (x *PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail_ContainerDetail) Reset 

func (x *PipelineTaskExecutorDetail_ContainerDetail) Reset()

func (*PipelineTaskExecutorDetail_ContainerDetail) String 

func (x *PipelineTaskExecutorDetail_ContainerDetail) String() string

type PipelineTaskExecutorDetail_ContainerDetail_ 

type PipelineTaskExecutorDetail_ContainerDetail_ struct {
	// Output only. The detailed info for a container executor.
	ContainerDetail *PipelineTaskExecutorDetail_ContainerDetail `protobuf:"bytes,1,opt,name=container_detail,json=containerDetail,proto3,oneof"`
}

type PipelineTaskExecutorDetail_CustomJobDetail deprecated 

type PipelineTaskExecutorDetail_CustomJobDetail struct {

	// Output only. The name of the [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob].
	Job string `protobuf:"bytes,1,opt,name=job,proto3" json:"job,omitempty"`
	// contains filtered or unexported fields
}

The detailed info for a custom job executor.

Deprecated: Do not use.

func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor deprecated 

func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor() ([]byte, []int)

Deprecated: Use PipelineTaskExecutorDetail_CustomJobDetail.ProtoReflect.Descriptor instead.

func (*PipelineTaskExecutorDetail_CustomJobDetail) GetJob 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetJob() string

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage 

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage()

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect() protoreflect.Message

func (*PipelineTaskExecutorDetail_CustomJobDetail) Reset 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) Reset()

func (*PipelineTaskExecutorDetail_CustomJobDetail) String 

func (x *PipelineTaskExecutorDetail_CustomJobDetail) String() string

type PipelineTaskExecutorDetail_CustomJobDetail_ 

type PipelineTaskExecutorDetail_CustomJobDetail_ struct {
	// Output only. The detailed info for a custom job executor.
	//
	// Deprecated: Do not use.
	CustomJobDetail *PipelineTaskExecutorDetail_CustomJobDetail `protobuf:"bytes,2,opt,name=custom_job_detail,json=customJobDetail,proto3,oneof"`
}

type Port 

type Port struct {

	// The number of the port to expose on the pod's IP address.
	// Must be a valid port number, between 1 and 65535 inclusive.
	ContainerPort int32 `protobuf:"varint,3,opt,name=container_port,json=containerPort,proto3" json:"container_port,omitempty"`
	// contains filtered or unexported fields
}

Represents a network port in a container.

func (*Port) Descriptor deprecated 

func (*Port) Descriptor() ([]byte, []int)

Deprecated: Use Port.ProtoReflect.Descriptor instead.

func (*Port) GetContainerPort 

func (x *Port) GetContainerPort() int32

func (*Port) ProtoMessage 

func (*Port) ProtoMessage()

func (*Port) ProtoReflect 

func (x *Port) ProtoReflect() protoreflect.Message

func (*Port) Reset 

func (x *Port) Reset()

func (*Port) String 

func (x *Port) String() string

type PredefinedSplit 

type PredefinedSplit struct {

	// Required. The key is a name of one of the Dataset's data columns.
	// The value of the key (either the label's value or value in the column)
	// must be one of {`training`, `validation`, `test`}, and it defines to which
	// set the given piece of data is assigned. If for a piece of data the key
	// is not present or has an invalid value, that piece is ignored by the
	// pipeline.
	Key string `protobuf:"bytes,1,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on the value of a provided key.

Supported only for tabular Datasets.

func (*PredefinedSplit) Descriptor deprecated 

func (*PredefinedSplit) Descriptor() ([]byte, []int)

Deprecated: Use PredefinedSplit.ProtoReflect.Descriptor instead.

func (*PredefinedSplit) GetKey 

func (x *PredefinedSplit) GetKey() string

func (*PredefinedSplit) ProtoMessage 

func (*PredefinedSplit) ProtoMessage()

func (*PredefinedSplit) ProtoReflect 

func (x *PredefinedSplit) ProtoReflect() protoreflect.Message

func (*PredefinedSplit) Reset 

func (x *PredefinedSplit) Reset()

func (*PredefinedSplit) String 

func (x *PredefinedSplit) String() string

type PredictRequest 

type PredictRequest struct {

	// Required. The name of the Endpoint requested to serve the prediction.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The instances that are the input to the prediction call.
	// A DeployedModel may have an upper limit on the number of instances it
	// supports per request, and when it is exceeded the prediction call errors
	// in case of AutoML Models, or, in case of customer created Models, the
	// behaviour is as documented by that Model.
	// The schema of any single instance may be specified via Endpoint's
	// DeployedModels' [Model's][google.cloud.aiplatform.v1beta1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
	Instances []*structpb.Value `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
	// The parameters that govern the prediction. The schema of the parameters may
	// be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
	Parameters *structpb.Value `protobuf:"bytes,3,opt,name=parameters,proto3" json:"parameters,omitempty"`
	// contains filtered or unexported fields
}

Request message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].

func (*PredictRequest) Descriptor deprecated 

func (*PredictRequest) Descriptor() ([]byte, []int)

Deprecated: Use PredictRequest.ProtoReflect.Descriptor instead.

func (*PredictRequest) GetEndpoint 

func (x *PredictRequest) GetEndpoint() string

func (*PredictRequest) GetInstances 

func (x *PredictRequest) GetInstances() []*structpb.Value

func (*PredictRequest) GetParameters 

func (x *PredictRequest) GetParameters() *structpb.Value

func (*PredictRequest) ProtoMessage 

func (*PredictRequest) ProtoMessage()

func (*PredictRequest) ProtoReflect 

func (x *PredictRequest) ProtoReflect() protoreflect.Message

func (*PredictRequest) Reset 

func (x *PredictRequest) Reset()

func (*PredictRequest) String 

func (x *PredictRequest) String() string

type PredictResponse 

type PredictResponse struct {

	// The predictions that are the output of the predictions call.
	// The schema of any single prediction may be specified via Endpoint's
	// DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model]
	// [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
	// [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
	Predictions []*structpb.Value `protobuf:"bytes,1,rep,name=predictions,proto3" json:"predictions,omitempty"`
	// ID of the Endpoint's DeployedModel that served this prediction.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// contains filtered or unexported fields
}

Response message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].

func (*PredictResponse) Descriptor deprecated 

func (*PredictResponse) Descriptor() ([]byte, []int)

Deprecated: Use PredictResponse.ProtoReflect.Descriptor instead.

func (*PredictResponse) GetDeployedModelId 

func (x *PredictResponse) GetDeployedModelId() string

func (*PredictResponse) GetPredictions 

func (x *PredictResponse) GetPredictions() []*structpb.Value

func (*PredictResponse) ProtoMessage 

func (*PredictResponse) ProtoMessage()

func (*PredictResponse) ProtoReflect 

func (x *PredictResponse) ProtoReflect() protoreflect.Message

func (*PredictResponse) Reset 

func (x *PredictResponse) Reset()

func (*PredictResponse) String 

func (x *PredictResponse) String() string

type PredictSchemata 

type PredictSchemata struct {

	// Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
	// of a single instance, which are used in [PredictRequest.instances][google.cloud.aiplatform.v1beta1.PredictRequest.instances],
	// [ExplainRequest.instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances] and
	// [BatchPredictionJob.input_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	InstanceSchemaUri string `protobuf:"bytes,1,opt,name=instance_schema_uri,json=instanceSchemaUri,proto3" json:"instance_schema_uri,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing the
	// parameters of prediction and explanation via
	// [PredictRequest.parameters][google.cloud.aiplatform.v1beta1.PredictRequest.parameters], [ExplainRequest.parameters][google.cloud.aiplatform.v1beta1.ExplainRequest.parameters] and
	// [BatchPredictionJob.model_parameters][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model_parameters].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI, if no
	// parameters are supported, then it is set to an empty string.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	ParametersSchemaUri string `protobuf:"bytes,2,opt,name=parameters_schema_uri,json=parametersSchemaUri,proto3" json:"parameters_schema_uri,omitempty"`
	// Immutable. Points to a YAML file stored on Google Cloud Storage describing the format
	// of a single prediction produced by this Model, which are returned via
	// [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions], [ExplainResponse.explanations][google.cloud.aiplatform.v1beta1.ExplainResponse.explanations], and
	// [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config].
	// The schema is defined as an OpenAPI 3.0.2 [Schema
	// Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
	// AutoML Models always have this field populated by Vertex AI.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	PredictionSchemaUri string `protobuf:"bytes,3,opt,name=prediction_schema_uri,json=predictionSchemaUri,proto3" json:"prediction_schema_uri,omitempty"`
	// contains filtered or unexported fields
}

Contains the schemata used in Model's predictions and explanations via [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] and BatchPredictionJob[google.cloud.aiplatform.v1beta1.BatchPredictionJob].

func (*PredictSchemata) Descriptor deprecated 

func (*PredictSchemata) Descriptor() ([]byte, []int)

Deprecated: Use PredictSchemata.ProtoReflect.Descriptor instead.

func (*PredictSchemata) GetInstanceSchemaUri 

func (x *PredictSchemata) GetInstanceSchemaUri() string

func (*PredictSchemata) GetParametersSchemaUri 

func (x *PredictSchemata) GetParametersSchemaUri() string

func (*PredictSchemata) GetPredictionSchemaUri 

func (x *PredictSchemata) GetPredictionSchemaUri() string

func (*PredictSchemata) ProtoMessage 

func (*PredictSchemata) ProtoMessage()

func (*PredictSchemata) ProtoReflect 

func (x *PredictSchemata) ProtoReflect() protoreflect.Message

func (*PredictSchemata) Reset 

func (x *PredictSchemata) Reset()

func (*PredictSchemata) String 

func (x *PredictSchemata) String() string

type PredictionServiceClient 

type PredictionServiceClient interface {
	// Perform an online prediction.
	Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, error)
	// Perform an online explanation.
	//
	// If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified,
	// the corresponding DeployModel must have
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
	// populated. If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
	// is not specified, all DeployedModels must have
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
	// populated. Only deployed AutoML tabular Models have
	// explanation_spec.
	Explain(ctx context.Context, in *ExplainRequest, opts ...grpc.CallOption) (*ExplainResponse, error)
}

PredictionServiceClient is the client API for PredictionService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewPredictionServiceClient 

func NewPredictionServiceClient(cc grpc.ClientConnInterface) PredictionServiceClient

type PredictionServiceServer 

type PredictionServiceServer interface {
	// Perform an online prediction.
	Predict(context.Context, *PredictRequest) (*PredictResponse, error)
	// Perform an online explanation.
	//
	// If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id] is specified,
	// the corresponding DeployModel must have
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
	// populated. If [deployed_model_id][google.cloud.aiplatform.v1beta1.ExplainRequest.deployed_model_id]
	// is not specified, all DeployedModels must have
	// [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
	// populated. Only deployed AutoML tabular Models have
	// explanation_spec.
	Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)
}

PredictionServiceServer is the server API for PredictionService service.

type PythonPackageSpec 

type PythonPackageSpec struct {

	// Required. The URI of a container image in Artifact Registry that will run the
	// provided Python package. Vertex AI provides a wide range of executor
	// images with pre-installed packages to meet users' various use cases. See
	// the list of [pre-built containers for
	// training](https://cloud.google.com/vertex-ai/docs/training/pre-built-containers).
	// You must use an image from this list.
	ExecutorImageUri string `protobuf:"bytes,1,opt,name=executor_image_uri,json=executorImageUri,proto3" json:"executor_image_uri,omitempty"`
	// Required. The Google Cloud Storage location of the Python package files which are
	// the training program and its dependent packages.
	// The maximum number of package URIs is 100.
	PackageUris []string `protobuf:"bytes,2,rep,name=package_uris,json=packageUris,proto3" json:"package_uris,omitempty"`
	// Required. The Python module name to run after installing the packages.
	PythonModule string `protobuf:"bytes,3,opt,name=python_module,json=pythonModule,proto3" json:"python_module,omitempty"`
	// Command line arguments to be passed to the Python task.
	Args []string `protobuf:"bytes,4,rep,name=args,proto3" json:"args,omitempty"`
	// contains filtered or unexported fields
}

The spec of a Python packaged code.

func (*PythonPackageSpec) Descriptor deprecated 

func (*PythonPackageSpec) Descriptor() ([]byte, []int)

Deprecated: Use PythonPackageSpec.ProtoReflect.Descriptor instead.

func (*PythonPackageSpec) GetArgs 

func (x *PythonPackageSpec) GetArgs() []string

func (*PythonPackageSpec) GetExecutorImageUri 

func (x *PythonPackageSpec) GetExecutorImageUri() string

func (*PythonPackageSpec) GetPackageUris 

func (x *PythonPackageSpec) GetPackageUris() []string

func (*PythonPackageSpec) GetPythonModule 

func (x *PythonPackageSpec) GetPythonModule() string

func (*PythonPackageSpec) ProtoMessage 

func (*PythonPackageSpec) ProtoMessage()

func (*PythonPackageSpec) ProtoReflect 

func (x *PythonPackageSpec) ProtoReflect() protoreflect.Message

func (*PythonPackageSpec) Reset 

func (x *PythonPackageSpec) Reset()

func (*PythonPackageSpec) String 

func (x *PythonPackageSpec) String() string

type QueryArtifactLineageSubgraphRequest 

type QueryArtifactLineageSubgraphRequest struct {

	// Required. The resource name of the Artifact whose Lineage needs to be retrieved as a
	// LineageSubgraph.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}
	//
	// The request may error with FAILED_PRECONDITION if the number of Artifacts,
	// the number of Executions, or the number of Events that would be returned
	// for the Context exceeds 1000.
	Artifact string `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Specifies the size of the lineage graph in terms of number of hops from the
	// specified artifact.
	// Negative Value: INVALID_ARGUMENT error is returned
	// 0: Only input artifact is returned.
	// No value: Transitive closure is performed to return the complete graph.
	MaxHops int32 `protobuf:"varint,2,opt,name=max_hops,json=maxHops,proto3" json:"max_hops,omitempty"`
	// Filter specifying the boolean condition for the Artifacts to satisfy in
	// order to be part of the Lineage Subgraph.
	// The syntax to define filter query is based on https://google.aip.dev/160.
	// The supported set of filters include the following:
	//
	// *  **Attribute filtering**:
	//    For example: `display_name = "test"`
	//    Supported fields include: `name`, `display_name`, `uri`, `state`,
	//    `schema_title`, `create_time`, and `update_time`.
	//    Time fields, such as `create_time` and `update_time`, require values
	//    specified in RFC-3339 format.
	//    For example: `create_time = "2020-11-19T11:30:00-04:00"`
	// *  **Metadata field**:
	//    To filter on metadata fields use traversal operation as follows:
	//    `metadata.<field_name>.<type_value>`.
	//    For example: `metadata.field_1.number_value = 10.0`
	//
	// Each of the above supported filter types can be combined together using
	// logical operators (`AND` & `OR`).
	//
	// For example: `display_name = "test" AND metadata.field1.bool_value = true`.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].

func (*QueryArtifactLineageSubgraphRequest) Descriptor deprecated 

func (*QueryArtifactLineageSubgraphRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryArtifactLineageSubgraphRequest.ProtoReflect.Descriptor instead.

func (*QueryArtifactLineageSubgraphRequest) GetArtifact 

func (x *QueryArtifactLineageSubgraphRequest) GetArtifact() string

func (*QueryArtifactLineageSubgraphRequest) GetFilter 

func (x *QueryArtifactLineageSubgraphRequest) GetFilter() string

func (*QueryArtifactLineageSubgraphRequest) GetMaxHops 

func (x *QueryArtifactLineageSubgraphRequest) GetMaxHops() int32

func (*QueryArtifactLineageSubgraphRequest) ProtoMessage 

func (*QueryArtifactLineageSubgraphRequest) ProtoMessage()

func (*QueryArtifactLineageSubgraphRequest) ProtoReflect 

func (x *QueryArtifactLineageSubgraphRequest) ProtoReflect() protoreflect.Message

func (*QueryArtifactLineageSubgraphRequest) Reset 

func (x *QueryArtifactLineageSubgraphRequest) Reset()

func (*QueryArtifactLineageSubgraphRequest) String 

func (x *QueryArtifactLineageSubgraphRequest) String() string

type QueryContextLineageSubgraphRequest 

type QueryContextLineageSubgraphRequest struct {

	// Required. The resource name of the Context whose Artifacts and Executions
	// should be retrieved as a LineageSubgraph.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}
	//
	// The request may error with FAILED_PRECONDITION if the number of Artifacts,
	// the number of Executions, or the number of Events that would be returned
	// for the Context exceeds 1000.
	Context string `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].

func (*QueryContextLineageSubgraphRequest) Descriptor deprecated 

func (*QueryContextLineageSubgraphRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryContextLineageSubgraphRequest.ProtoReflect.Descriptor instead.

func (*QueryContextLineageSubgraphRequest) GetContext 

func (x *QueryContextLineageSubgraphRequest) GetContext() string

func (*QueryContextLineageSubgraphRequest) ProtoMessage 

func (*QueryContextLineageSubgraphRequest) ProtoMessage()

func (*QueryContextLineageSubgraphRequest) ProtoReflect 

func (x *QueryContextLineageSubgraphRequest) ProtoReflect() protoreflect.Message

func (*QueryContextLineageSubgraphRequest) Reset 

func (x *QueryContextLineageSubgraphRequest) Reset()

func (*QueryContextLineageSubgraphRequest) String 

func (x *QueryContextLineageSubgraphRequest) String() string

type QueryExecutionInputsAndOutputsRequest 

type QueryExecutionInputsAndOutputsRequest struct {

	// Required. The resource name of the Execution whose input and output Artifacts should
	// be retrieved as a LineageSubgraph.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
	Execution string `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].

func (*QueryExecutionInputsAndOutputsRequest) Descriptor deprecated 

func (*QueryExecutionInputsAndOutputsRequest) Descriptor() ([]byte, []int)

Deprecated: Use QueryExecutionInputsAndOutputsRequest.ProtoReflect.Descriptor instead.

func (*QueryExecutionInputsAndOutputsRequest) GetExecution 

func (x *QueryExecutionInputsAndOutputsRequest) GetExecution() string

func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage 

func (*QueryExecutionInputsAndOutputsRequest) ProtoMessage()

func (*QueryExecutionInputsAndOutputsRequest) ProtoReflect 

func (x *QueryExecutionInputsAndOutputsRequest) ProtoReflect() protoreflect.Message

func (*QueryExecutionInputsAndOutputsRequest) Reset 

func (x *QueryExecutionInputsAndOutputsRequest) Reset()

func (*QueryExecutionInputsAndOutputsRequest) String 

func (x *QueryExecutionInputsAndOutputsRequest) String() string

type ReadFeatureValuesRequest 

type ReadFeatureValuesRequest struct {

	// Required. The resource name of the EntityType for the entity being read.
	// Value format: `projects/{project}/locations/{location}/featurestores/
	// {featurestore}/entityTypes/{entityType}`. For example,
	// for a machine learning model predicting user clicks on a website, an
	// EntityType ID could be "user".
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. ID for a specific entity. For example,
	// for a machine learning model predicting user clicks on a website, an entity
	// ID could be "user_123".
	EntityId string `protobuf:"bytes,2,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Required. Selector choosing Features of the target EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].

func (*ReadFeatureValuesRequest) Descriptor deprecated 

func (*ReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesRequest) GetEntityId 

func (x *ReadFeatureValuesRequest) GetEntityId() string

func (*ReadFeatureValuesRequest) GetEntityType 

func (x *ReadFeatureValuesRequest) GetEntityType() string

func (*ReadFeatureValuesRequest) GetFeatureSelector 

func (x *ReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*ReadFeatureValuesRequest) ProtoMessage 

func (*ReadFeatureValuesRequest) ProtoMessage()

func (*ReadFeatureValuesRequest) ProtoReflect 

func (x *ReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesRequest) Reset 

func (x *ReadFeatureValuesRequest) Reset()

func (*ReadFeatureValuesRequest) String 

func (x *ReadFeatureValuesRequest) String() string

type ReadFeatureValuesResponse 

type ReadFeatureValuesResponse struct {

	// Response header.
	Header *ReadFeatureValuesResponse_Header `protobuf:"bytes,1,opt,name=header,proto3" json:"header,omitempty"`
	// Entity view with Feature values. This may be the entity in the
	// Featurestore if values for all Features were requested, or a projection
	// of the entity in the Featurestore if values for only some Features were
	// requested.
	EntityView *ReadFeatureValuesResponse_EntityView `protobuf:"bytes,2,opt,name=entity_view,json=entityView,proto3" json:"entity_view,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].

func (*ReadFeatureValuesResponse) Descriptor deprecated 

func (*ReadFeatureValuesResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse) GetEntityView 

func (x *ReadFeatureValuesResponse) GetEntityView() *ReadFeatureValuesResponse_EntityView

func (*ReadFeatureValuesResponse) GetHeader 

func (x *ReadFeatureValuesResponse) GetHeader() *ReadFeatureValuesResponse_Header

func (*ReadFeatureValuesResponse) ProtoMessage 

func (*ReadFeatureValuesResponse) ProtoMessage()

func (*ReadFeatureValuesResponse) ProtoReflect 

func (x *ReadFeatureValuesResponse) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse) Reset 

func (x *ReadFeatureValuesResponse) Reset()

func (*ReadFeatureValuesResponse) String 

func (x *ReadFeatureValuesResponse) String() string

type ReadFeatureValuesResponse_EntityView 

type ReadFeatureValuesResponse_EntityView struct {

	// ID of the requested entity.
	EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
	// Each piece of data holds the k
	// requested values for one requested Feature. If no values
	// for the requested Feature exist, the corresponding cell will be empty.
	// This has the same size and is in the same order as the features from the
	// header [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1beta1.ReadFeatureValuesResponse.header].
	Data []*ReadFeatureValuesResponse_EntityView_Data `protobuf:"bytes,2,rep,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

Entity view with Feature values.

func (*ReadFeatureValuesResponse_EntityView) Descriptor deprecated 

func (*ReadFeatureValuesResponse_EntityView) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_EntityView.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_EntityView) GetData 

func (x *ReadFeatureValuesResponse_EntityView) GetData() []*ReadFeatureValuesResponse_EntityView_Data

func (*ReadFeatureValuesResponse_EntityView) GetEntityId 

func (x *ReadFeatureValuesResponse_EntityView) GetEntityId() string

func (*ReadFeatureValuesResponse_EntityView) ProtoMessage 

func (*ReadFeatureValuesResponse_EntityView) ProtoMessage()

func (*ReadFeatureValuesResponse_EntityView) ProtoReflect 

func (x *ReadFeatureValuesResponse_EntityView) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_EntityView) Reset 

func (x *ReadFeatureValuesResponse_EntityView) Reset()

func (*ReadFeatureValuesResponse_EntityView) String 

func (x *ReadFeatureValuesResponse_EntityView) String() string

type ReadFeatureValuesResponse_EntityView_Data 

type ReadFeatureValuesResponse_EntityView_Data struct {

	// Types that are assignable to Data:
	//	*ReadFeatureValuesResponse_EntityView_Data_Value
	//	*ReadFeatureValuesResponse_EntityView_Data_Values
	Data isReadFeatureValuesResponse_EntityView_Data_Data `protobuf_oneof:"data"`
	// contains filtered or unexported fields
}

Container to hold value(s), successive in time, for one Feature from the request.

func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor deprecated 

func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_EntityView_Data.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_EntityView_Data) GetData 

func (m *ReadFeatureValuesResponse_EntityView_Data) GetData() isReadFeatureValuesResponse_EntityView_Data_Data

func (*ReadFeatureValuesResponse_EntityView_Data) GetValue 

func (x *ReadFeatureValuesResponse_EntityView_Data) GetValue() *FeatureValue

func (*ReadFeatureValuesResponse_EntityView_Data) GetValues 

func (x *ReadFeatureValuesResponse_EntityView_Data) GetValues() *FeatureValueList

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage 

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage()

func (*ReadFeatureValuesResponse_EntityView_Data) ProtoReflect 

func (x *ReadFeatureValuesResponse_EntityView_Data) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_EntityView_Data) Reset 

func (x *ReadFeatureValuesResponse_EntityView_Data) Reset()

func (*ReadFeatureValuesResponse_EntityView_Data) String 

func (x *ReadFeatureValuesResponse_EntityView_Data) String() string

type ReadFeatureValuesResponse_EntityView_Data_Value 

type ReadFeatureValuesResponse_EntityView_Data_Value struct {
	// Feature value if a single value is requested.
	Value *FeatureValue `protobuf:"bytes,1,opt,name=value,proto3,oneof"`
}

type ReadFeatureValuesResponse_EntityView_Data_Values 

type ReadFeatureValuesResponse_EntityView_Data_Values struct {
	// Feature values list if values, successive in time, are requested.
	// If the requested number of values is greater than the number of
	// existing Feature values, nonexistent values are omitted instead of
	// being returned as empty.
	Values *FeatureValueList `protobuf:"bytes,2,opt,name=values,proto3,oneof"`
}

type ReadFeatureValuesResponse_FeatureDescriptor 

type ReadFeatureValuesResponse_FeatureDescriptor struct {

	// Feature ID.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// contains filtered or unexported fields
}

Metadata for requested Features.

func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor deprecated 

func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_FeatureDescriptor.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_FeatureDescriptor) GetId 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) GetId() string

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage 

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage()

func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_FeatureDescriptor) Reset 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) Reset()

func (*ReadFeatureValuesResponse_FeatureDescriptor) String 

func (x *ReadFeatureValuesResponse_FeatureDescriptor) String() string

type ReadFeatureValuesResponse_Header 

type ReadFeatureValuesResponse_Header struct {

	// The resource name of the EntityType from the
	// [ReadFeatureValuesRequest][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest]. Value format:
	// `projects/{project}/locations/{location}/featurestores/
	// {featurestore}/entityTypes/{entityType}`.
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// List of Feature metadata corresponding to each piece of
	// [ReadFeatureValuesResponse.data][].
	FeatureDescriptors []*ReadFeatureValuesResponse_FeatureDescriptor `protobuf:"bytes,2,rep,name=feature_descriptors,json=featureDescriptors,proto3" json:"feature_descriptors,omitempty"`
	// contains filtered or unexported fields
}

Response header with metadata for the requested [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type] and Features.

func (*ReadFeatureValuesResponse_Header) Descriptor deprecated 

func (*ReadFeatureValuesResponse_Header) Descriptor() ([]byte, []int)

Deprecated: Use ReadFeatureValuesResponse_Header.ProtoReflect.Descriptor instead.

func (*ReadFeatureValuesResponse_Header) GetEntityType 

func (x *ReadFeatureValuesResponse_Header) GetEntityType() string

func (*ReadFeatureValuesResponse_Header) GetFeatureDescriptors 

func (x *ReadFeatureValuesResponse_Header) GetFeatureDescriptors() []*ReadFeatureValuesResponse_FeatureDescriptor

func (*ReadFeatureValuesResponse_Header) ProtoMessage 

func (*ReadFeatureValuesResponse_Header) ProtoMessage()

func (*ReadFeatureValuesResponse_Header) ProtoReflect 

func (x *ReadFeatureValuesResponse_Header) ProtoReflect() protoreflect.Message

func (*ReadFeatureValuesResponse_Header) Reset 

func (x *ReadFeatureValuesResponse_Header) Reset()

func (*ReadFeatureValuesResponse_Header) String 

func (x *ReadFeatureValuesResponse_Header) String() string

type ReadTensorboardBlobDataRequest 

type ReadTensorboardBlobDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to list Blobs.
	// Format:
	// 'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}'
	TimeSeries string `protobuf:"bytes,1,opt,name=time_series,json=timeSeries,proto3" json:"time_series,omitempty"`
	// IDs of the blobs to read.
	BlobIds []string `protobuf:"bytes,2,rep,name=blob_ids,json=blobIds,proto3" json:"blob_ids,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].

func (*ReadTensorboardBlobDataRequest) Descriptor deprecated 

func (*ReadTensorboardBlobDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardBlobDataRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardBlobDataRequest) GetBlobIds 

func (x *ReadTensorboardBlobDataRequest) GetBlobIds() []string

func (*ReadTensorboardBlobDataRequest) GetTimeSeries 

func (x *ReadTensorboardBlobDataRequest) GetTimeSeries() string

func (*ReadTensorboardBlobDataRequest) ProtoMessage 

func (*ReadTensorboardBlobDataRequest) ProtoMessage()

func (*ReadTensorboardBlobDataRequest) ProtoReflect 

func (x *ReadTensorboardBlobDataRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardBlobDataRequest) Reset 

func (x *ReadTensorboardBlobDataRequest) Reset()

func (*ReadTensorboardBlobDataRequest) String 

func (x *ReadTensorboardBlobDataRequest) String() string

type ReadTensorboardBlobDataResponse 

type ReadTensorboardBlobDataResponse struct {

	// Blob messages containing blob bytes.
	Blobs []*TensorboardBlob `protobuf:"bytes,1,rep,name=blobs,proto3" json:"blobs,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].

func (*ReadTensorboardBlobDataResponse) Descriptor deprecated 

func (*ReadTensorboardBlobDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardBlobDataResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardBlobDataResponse) GetBlobs 

func (x *ReadTensorboardBlobDataResponse) GetBlobs() []*TensorboardBlob

func (*ReadTensorboardBlobDataResponse) ProtoMessage 

func (*ReadTensorboardBlobDataResponse) ProtoMessage()

func (*ReadTensorboardBlobDataResponse) ProtoReflect 

func (x *ReadTensorboardBlobDataResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardBlobDataResponse) Reset 

func (x *ReadTensorboardBlobDataResponse) Reset()

func (*ReadTensorboardBlobDataResponse) String 

func (x *ReadTensorboardBlobDataResponse) String() string

type ReadTensorboardTimeSeriesDataRequest 

type ReadTensorboardTimeSeriesDataRequest struct {

	// Required. The resource name of the TensorboardTimeSeries to read data from.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries string `` /* 126-byte string literal not displayed */
	// The maximum number of TensorboardTimeSeries' data to return.
	//
	// This value should be a positive integer.
	// This value can be set to -1 to return all data.
	MaxDataPoints int32 `protobuf:"varint,2,opt,name=max_data_points,json=maxDataPoints,proto3" json:"max_data_points,omitempty"`
	// Reads the TensorboardTimeSeries' data that match the filter expression.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].

func (*ReadTensorboardTimeSeriesDataRequest) Descriptor deprecated 

func (*ReadTensorboardTimeSeriesDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardTimeSeriesDataRequest.ProtoReflect.Descriptor instead.

func (*ReadTensorboardTimeSeriesDataRequest) GetFilter 

func (x *ReadTensorboardTimeSeriesDataRequest) GetFilter() string

func (*ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints 

func (x *ReadTensorboardTimeSeriesDataRequest) GetMaxDataPoints() int32

func (*ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries 

func (x *ReadTensorboardTimeSeriesDataRequest) GetTensorboardTimeSeries() string

func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage 

func (*ReadTensorboardTimeSeriesDataRequest) ProtoMessage()

func (*ReadTensorboardTimeSeriesDataRequest) ProtoReflect 

func (x *ReadTensorboardTimeSeriesDataRequest) ProtoReflect() protoreflect.Message

func (*ReadTensorboardTimeSeriesDataRequest) Reset 

func (x *ReadTensorboardTimeSeriesDataRequest) Reset()

func (*ReadTensorboardTimeSeriesDataRequest) String 

func (x *ReadTensorboardTimeSeriesDataRequest) String() string

type ReadTensorboardTimeSeriesDataResponse 

type ReadTensorboardTimeSeriesDataResponse struct {

	// The returned time series data.
	TimeSeriesData *TimeSeriesData `protobuf:"bytes,1,opt,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].

func (*ReadTensorboardTimeSeriesDataResponse) Descriptor deprecated 

func (*ReadTensorboardTimeSeriesDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use ReadTensorboardTimeSeriesDataResponse.ProtoReflect.Descriptor instead.

func (*ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData 

func (x *ReadTensorboardTimeSeriesDataResponse) GetTimeSeriesData() *TimeSeriesData

func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage 

func (*ReadTensorboardTimeSeriesDataResponse) ProtoMessage()

func (*ReadTensorboardTimeSeriesDataResponse) ProtoReflect 

func (x *ReadTensorboardTimeSeriesDataResponse) ProtoReflect() protoreflect.Message

func (*ReadTensorboardTimeSeriesDataResponse) Reset 

func (x *ReadTensorboardTimeSeriesDataResponse) Reset()

func (*ReadTensorboardTimeSeriesDataResponse) String 

func (x *ReadTensorboardTimeSeriesDataResponse) String() string

type ResourcesConsumed 

type ResourcesConsumed struct {

	// Output only. The number of replica hours used. Note that many replicas may run in
	// parallel, and additionally any given work may be queued for some time.
	// Therefore this value is not strictly related to wall time.
	ReplicaHours float64 `protobuf:"fixed64,1,opt,name=replica_hours,json=replicaHours,proto3" json:"replica_hours,omitempty"`
	// contains filtered or unexported fields
}

Statistics information about resource consumption.

func (*ResourcesConsumed) Descriptor deprecated 

func (*ResourcesConsumed) Descriptor() ([]byte, []int)

Deprecated: Use ResourcesConsumed.ProtoReflect.Descriptor instead.

func (*ResourcesConsumed) GetReplicaHours 

func (x *ResourcesConsumed) GetReplicaHours() float64

func (*ResourcesConsumed) ProtoMessage 

func (*ResourcesConsumed) ProtoMessage()

func (*ResourcesConsumed) ProtoReflect 

func (x *ResourcesConsumed) ProtoReflect() protoreflect.Message

func (*ResourcesConsumed) Reset 

func (x *ResourcesConsumed) Reset()

func (*ResourcesConsumed) String 

func (x *ResourcesConsumed) String() string

type ResumeModelDeploymentMonitoringJobRequest 

type ResumeModelDeploymentMonitoringJobRequest struct {

	// Required. The resource name of the ModelDeploymentMonitoringJob to resume.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.ResumeModelDeploymentMonitoringJob].

func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor deprecated 

func (*ResumeModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use ResumeModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*ResumeModelDeploymentMonitoringJobRequest) GetName 

func (x *ResumeModelDeploymentMonitoringJobRequest) GetName() string

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*ResumeModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *ResumeModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*ResumeModelDeploymentMonitoringJobRequest) Reset 

func (x *ResumeModelDeploymentMonitoringJobRequest) Reset()

func (*ResumeModelDeploymentMonitoringJobRequest) String 

func (x *ResumeModelDeploymentMonitoringJobRequest) String() string

type SampleConfig 

type SampleConfig struct {

	// Decides sample size for the initial batch. initial_batch_sample_percentage
	// is used by default.
	//
	// Types that are assignable to InitialBatchSampleSize:
	//	*SampleConfig_InitialBatchSamplePercentage
	InitialBatchSampleSize isSampleConfig_InitialBatchSampleSize `protobuf_oneof:"initial_batch_sample_size"`
	// Decides sample size for the following batches.
	// following_batch_sample_percentage is used by default.
	//
	// Types that are assignable to FollowingBatchSampleSize:
	//	*SampleConfig_FollowingBatchSamplePercentage
	FollowingBatchSampleSize isSampleConfig_FollowingBatchSampleSize `protobuf_oneof:"following_batch_sample_size"`
	// Field to choose sampling strategy. Sampling strategy will decide which data
	// should be selected for human labeling in every batch.
	SampleStrategy SampleConfig_SampleStrategy `` /* 169-byte string literal not displayed */
	// contains filtered or unexported fields
}

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

func (*SampleConfig) Descriptor deprecated 

func (*SampleConfig) Descriptor() ([]byte, []int)

Deprecated: Use SampleConfig.ProtoReflect.Descriptor instead.

func (*SampleConfig) GetFollowingBatchSamplePercentage 

func (x *SampleConfig) GetFollowingBatchSamplePercentage() int32

func (*SampleConfig) GetFollowingBatchSampleSize 

func (m *SampleConfig) GetFollowingBatchSampleSize() isSampleConfig_FollowingBatchSampleSize

func (*SampleConfig) GetInitialBatchSamplePercentage 

func (x *SampleConfig) GetInitialBatchSamplePercentage() int32

func (*SampleConfig) GetInitialBatchSampleSize 

func (m *SampleConfig) GetInitialBatchSampleSize() isSampleConfig_InitialBatchSampleSize

func (*SampleConfig) GetSampleStrategy 

func (x *SampleConfig) GetSampleStrategy() SampleConfig_SampleStrategy

func (*SampleConfig) ProtoMessage 

func (*SampleConfig) ProtoMessage()

func (*SampleConfig) ProtoReflect 

func (x *SampleConfig) ProtoReflect() protoreflect.Message

func (*SampleConfig) Reset 

func (x *SampleConfig) Reset()

func (*SampleConfig) String 

func (x *SampleConfig) String() string

type SampleConfig_FollowingBatchSamplePercentage 

type SampleConfig_FollowingBatchSamplePercentage struct {
	// The percentage of data needed to be labeled in each following batch
	// (except the first batch).
	FollowingBatchSamplePercentage int32 `protobuf:"varint,3,opt,name=following_batch_sample_percentage,json=followingBatchSamplePercentage,proto3,oneof"`
}

type SampleConfig_InitialBatchSamplePercentage 

type SampleConfig_InitialBatchSamplePercentage struct {
	// The percentage of data needed to be labeled in the first batch.
	InitialBatchSamplePercentage int32 `protobuf:"varint,1,opt,name=initial_batch_sample_percentage,json=initialBatchSamplePercentage,proto3,oneof"`
}

type SampleConfig_SampleStrategy 

type SampleConfig_SampleStrategy int32

Sample strategy decides which subset of DataItems should be selected for human labeling in every batch. 

const (
	// Default will be treated as UNCERTAINTY.
	SampleConfig_SAMPLE_STRATEGY_UNSPECIFIED SampleConfig_SampleStrategy = 0
	// Sample the most uncertain data to label.
	SampleConfig_UNCERTAINTY SampleConfig_SampleStrategy = 1
)

func (SampleConfig_SampleStrategy) Descriptor 

func (SampleConfig_SampleStrategy) Descriptor() protoreflect.EnumDescriptor

func (SampleConfig_SampleStrategy) Enum 

func (x SampleConfig_SampleStrategy) Enum() *SampleConfig_SampleStrategy

func (SampleConfig_SampleStrategy) EnumDescriptor deprecated 

func (SampleConfig_SampleStrategy) EnumDescriptor() ([]byte, []int)

Deprecated: Use SampleConfig_SampleStrategy.Descriptor instead.

func (SampleConfig_SampleStrategy) Number 

func (x SampleConfig_SampleStrategy) Number() protoreflect.EnumNumber

func (SampleConfig_SampleStrategy) String 

func (x SampleConfig_SampleStrategy) String() string

func (SampleConfig_SampleStrategy) Type 

func (SampleConfig_SampleStrategy) Type() protoreflect.EnumType

type SampledShapleyAttribution 

type SampledShapleyAttribution struct {

	// Required. The number of feature permutations to consider when approximating the
	// Shapley values.
	//
	// Valid range of its value is [1, 50], inclusively.
	PathCount int32 `protobuf:"varint,1,opt,name=path_count,json=pathCount,proto3" json:"path_count,omitempty"`
	// contains filtered or unexported fields
}

An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features.

func (*SampledShapleyAttribution) Descriptor deprecated 

func (*SampledShapleyAttribution) Descriptor() ([]byte, []int)

Deprecated: Use SampledShapleyAttribution.ProtoReflect.Descriptor instead.

func (*SampledShapleyAttribution) GetPathCount 

func (x *SampledShapleyAttribution) GetPathCount() int32

func (*SampledShapleyAttribution) ProtoMessage 

func (*SampledShapleyAttribution) ProtoMessage()

func (*SampledShapleyAttribution) ProtoReflect 

func (x *SampledShapleyAttribution) ProtoReflect() protoreflect.Message

func (*SampledShapleyAttribution) Reset 

func (x *SampledShapleyAttribution) Reset()

func (*SampledShapleyAttribution) String 

func (x *SampledShapleyAttribution) String() string

type SamplingStrategy 

type SamplingStrategy struct {

	// Random sample config. Will support more sampling strategies later.
	RandomSampleConfig *SamplingStrategy_RandomSampleConfig `protobuf:"bytes,1,opt,name=random_sample_config,json=randomSampleConfig,proto3" json:"random_sample_config,omitempty"`
	// contains filtered or unexported fields
}

Sampling Strategy for logging, can be for both training and prediction dataset. Next ID: 2

func (*SamplingStrategy) Descriptor deprecated 

func (*SamplingStrategy) Descriptor() ([]byte, []int)

Deprecated: Use SamplingStrategy.ProtoReflect.Descriptor instead.

func (*SamplingStrategy) GetRandomSampleConfig 

func (x *SamplingStrategy) GetRandomSampleConfig() *SamplingStrategy_RandomSampleConfig

func (*SamplingStrategy) ProtoMessage 

func (*SamplingStrategy) ProtoMessage()

func (*SamplingStrategy) ProtoReflect 

func (x *SamplingStrategy) ProtoReflect() protoreflect.Message

func (*SamplingStrategy) Reset 

func (x *SamplingStrategy) Reset()

func (*SamplingStrategy) String 

func (x *SamplingStrategy) String() string

type SamplingStrategy_RandomSampleConfig 

type SamplingStrategy_RandomSampleConfig struct {

	// Sample rate (0, 1]
	SampleRate float64 `protobuf:"fixed64,1,opt,name=sample_rate,json=sampleRate,proto3" json:"sample_rate,omitempty"`
	// contains filtered or unexported fields
}

Requests are randomly selected.

func (*SamplingStrategy_RandomSampleConfig) Descriptor deprecated 

func (*SamplingStrategy_RandomSampleConfig) Descriptor() ([]byte, []int)

Deprecated: Use SamplingStrategy_RandomSampleConfig.ProtoReflect.Descriptor instead.

func (*SamplingStrategy_RandomSampleConfig) GetSampleRate 

func (x *SamplingStrategy_RandomSampleConfig) GetSampleRate() float64

func (*SamplingStrategy_RandomSampleConfig) ProtoMessage 

func (*SamplingStrategy_RandomSampleConfig) ProtoMessage()

func (*SamplingStrategy_RandomSampleConfig) ProtoReflect 

func (x *SamplingStrategy_RandomSampleConfig) ProtoReflect() protoreflect.Message

func (*SamplingStrategy_RandomSampleConfig) Reset 

func (x *SamplingStrategy_RandomSampleConfig) Reset()

func (*SamplingStrategy_RandomSampleConfig) String 

func (x *SamplingStrategy_RandomSampleConfig) String() string

type Scalar 

type Scalar struct {

	// Value of the point at this step / timestamp.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a scalar metric plot.

func (*Scalar) Descriptor deprecated 

func (*Scalar) Descriptor() ([]byte, []int)

Deprecated: Use Scalar.ProtoReflect.Descriptor instead.

func (*Scalar) GetValue 

func (x *Scalar) GetValue() float64

func (*Scalar) ProtoMessage 

func (*Scalar) ProtoMessage()

func (*Scalar) ProtoReflect 

func (x *Scalar) ProtoReflect() protoreflect.Message

func (*Scalar) Reset 

func (x *Scalar) Reset()

func (*Scalar) String 

func (x *Scalar) String() string

type Scheduling 

type Scheduling struct {

	// The maximum job running time. The default is 7 days.
	Timeout *durationpb.Duration `protobuf:"bytes,1,opt,name=timeout,proto3" json:"timeout,omitempty"`
	// Restarts the entire CustomJob if a worker gets restarted.
	// This feature can be used by distributed training jobs that are not
	// resilient to workers leaving and joining a job.
	RestartJobOnWorkerRestart bool `` /* 143-byte string literal not displayed */
	// contains filtered or unexported fields
}

All parameters related to queuing and scheduling of custom jobs.

func (*Scheduling) Descriptor deprecated 

func (*Scheduling) Descriptor() ([]byte, []int)

Deprecated: Use Scheduling.ProtoReflect.Descriptor instead.

func (*Scheduling) GetRestartJobOnWorkerRestart 

func (x *Scheduling) GetRestartJobOnWorkerRestart() bool

func (*Scheduling) GetTimeout 

func (x *Scheduling) GetTimeout() *durationpb.Duration

func (*Scheduling) ProtoMessage 

func (*Scheduling) ProtoMessage()

func (*Scheduling) ProtoReflect 

func (x *Scheduling) ProtoReflect() protoreflect.Message

func (*Scheduling) Reset 

func (x *Scheduling) Reset()

func (*Scheduling) String 

func (x *Scheduling) String() string

type SearchFeaturesRequest 

type SearchFeaturesRequest struct {

	// Required. The resource name of the Location to search Features.
	// Format:
	// `projects/{project}/locations/{location}`
	Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
	// Query string that is a conjunction of field-restricted queries and/or
	// field-restricted filters.  Field-restricted queries and filters can be
	// combined using `AND` to form a conjunction.
	//
	// A field query is in the form FIELD:QUERY. This implicitly checks if QUERY
	// exists as a substring within Feature's FIELD. The QUERY
	// and the FIELD are converted to a sequence of words (i.e. tokens) for
	// comparison. This is done by:
	//
	//   * Removing leading/trailing whitespace and tokenizing the search value.
	//   Characters that are not one of alphanumeric [a-zA-Z0-9], underscore [_],
	//   or asterisk [*] are treated as delimiters for tokens. (*) is treated as a
	//   wildcard that matches characters within a token.
	//   * Ignoring case.
	//   * Prepending an asterisk to the first and appending an asterisk to the
	//   last token in QUERY.
	//
	// A QUERY must be either a singular token or a phrase. A phrase is one or
	// multiple words enclosed in double quotation marks ("). With phrases, the
	// order of the words is important. Words in the phrase must be matching in
	// order and consecutively.
	//
	// Supported FIELDs for field-restricted queries:
	//
	// * `feature_id`
	// * `description`
	// * `entity_type_id`
	//
	// Examples:
	//
	// * `feature_id: foo` --> Matches a Feature with ID containing the substring
	// `foo` (eg. `foo`, `foofeature`, `barfoo`).
	// * `feature_id: foo*feature` --> Matches a Feature with ID containing the
	// substring `foo*feature` (eg. `foobarfeature`).
	// * `feature_id: foo AND description: bar` --> Matches a Feature with ID
	// containing the substring `foo` and description containing the substring
	// `bar`.
	//
	//
	// Besides field queries, the following exact-match filters are
	// supported. The exact-match filters do not support wildcards. Unlike
	// field-restricted queries, exact-match filters are case-sensitive.
	//
	// * `feature_id`: Supports = comparisons.
	// * `description`: Supports = comparisons. Multi-token filters should be
	// enclosed in quotes.
	// * `entity_type_id`: Supports = comparisons.
	// * `value_type`: Supports = and != comparisons.
	// * `labels`: Supports key-value equality as well as key presence.
	// * `featurestore_id`: Supports = comparisons.
	//
	// Examples:
	// * `description = "foo bar"` --> Any Feature with description exactly equal
	// to `foo bar`
	// * `value_type = DOUBLE` --> Features whose type is DOUBLE.
	// * `labels.active = yes AND labels.env = prod` --> Features having both
	//     (active: yes) and (env: prod) labels.
	// * `labels.env: *` --> Any Feature which has a label with `env` as the
	//   key.
	Query string `protobuf:"bytes,3,opt,name=query,proto3" json:"query,omitempty"`
	// The maximum number of Features to return. The service may return fewer
	// than this value. If unspecified, at most 100 Features will be returned.
	// The maximum value is 100; any value greater than 100 will be coerced to
	// 100.
	PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token, received from a previous
	// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures] call.
	// Provide this to retrieve the subsequent page.
	//
	// When paginating, all other parameters provided to
	// [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures], except `page_size`, must
	// match the call that provided the page token.
	PageToken string `protobuf:"bytes,5,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].

func (*SearchFeaturesRequest) Descriptor deprecated 

func (*SearchFeaturesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchFeaturesRequest.ProtoReflect.Descriptor instead.

func (*SearchFeaturesRequest) GetLocation 

func (x *SearchFeaturesRequest) GetLocation() string

func (*SearchFeaturesRequest) GetPageSize 

func (x *SearchFeaturesRequest) GetPageSize() int32

func (*SearchFeaturesRequest) GetPageToken 

func (x *SearchFeaturesRequest) GetPageToken() string

func (*SearchFeaturesRequest) GetQuery 

func (x *SearchFeaturesRequest) GetQuery() string

func (*SearchFeaturesRequest) ProtoMessage 

func (*SearchFeaturesRequest) ProtoMessage()

func (*SearchFeaturesRequest) ProtoReflect 

func (x *SearchFeaturesRequest) ProtoReflect() protoreflect.Message

func (*SearchFeaturesRequest) Reset 

func (x *SearchFeaturesRequest) Reset()

func (*SearchFeaturesRequest) String 

func (x *SearchFeaturesRequest) String() string

type SearchFeaturesResponse 

type SearchFeaturesResponse struct {

	// The Features matching the request.
	//
	// Fields returned:
	//
	//  * `name`
	//  * `description`
	//  * `labels`
	//  * `create_time`
	//  * `update_time`
	Features []*Feature `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
	// A token, which can be sent as [SearchFeaturesRequest.page_token][google.cloud.aiplatform.v1beta1.SearchFeaturesRequest.page_token] to
	// retrieve the next page.
	// If this field is omitted, there are no subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].

func (*SearchFeaturesResponse) Descriptor deprecated 

func (*SearchFeaturesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchFeaturesResponse.ProtoReflect.Descriptor instead.

func (*SearchFeaturesResponse) GetFeatures 

func (x *SearchFeaturesResponse) GetFeatures() []*Feature

func (*SearchFeaturesResponse) GetNextPageToken 

func (x *SearchFeaturesResponse) GetNextPageToken() string

func (*SearchFeaturesResponse) ProtoMessage 

func (*SearchFeaturesResponse) ProtoMessage()

func (*SearchFeaturesResponse) ProtoReflect 

func (x *SearchFeaturesResponse) ProtoReflect() protoreflect.Message

func (*SearchFeaturesResponse) Reset 

func (x *SearchFeaturesResponse) Reset()

func (*SearchFeaturesResponse) String 

func (x *SearchFeaturesResponse) String() string

type SearchMigratableResourcesRequest 

type SearchMigratableResourcesRequest struct {

	// Required. The location that the migratable resources should be searched from.
	// It's the Vertex AI location that the resources can be migrated to, not
	// the resources' original location.
	// Format:
	// `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard page size.
	// The default and maximum value is 100.
	PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard page token.
	PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// A filter for your search. You can use the following types of filters:
	//
	// *   Resource type filters. The following strings filter for a specific type
	//     of [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:
	//     *   `ml_engine_model_version:*`
	//     *   `automl_model:*`
	//     *   `automl_dataset:*`
	//     *   `data_labeling_dataset:*`
	// *   "Migrated or not" filters. The following strings filter for resources
	//     that either have or have not already been migrated:
	//     *   `last_migrate_time:*` filters for migrated resources.
	//     *   `NOT last_migrate_time:*` filters for not yet migrated resources.
	Filter string `protobuf:"bytes,4,opt,name=filter,proto3" json:"filter,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].

func (*SearchMigratableResourcesRequest) Descriptor deprecated 

func (*SearchMigratableResourcesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchMigratableResourcesRequest.ProtoReflect.Descriptor instead.

func (*SearchMigratableResourcesRequest) GetFilter 

func (x *SearchMigratableResourcesRequest) GetFilter() string

func (*SearchMigratableResourcesRequest) GetPageSize 

func (x *SearchMigratableResourcesRequest) GetPageSize() int32

func (*SearchMigratableResourcesRequest) GetPageToken 

func (x *SearchMigratableResourcesRequest) GetPageToken() string

func (*SearchMigratableResourcesRequest) GetParent 

func (x *SearchMigratableResourcesRequest) GetParent() string

func (*SearchMigratableResourcesRequest) ProtoMessage 

func (*SearchMigratableResourcesRequest) ProtoMessage()

func (*SearchMigratableResourcesRequest) ProtoReflect 

func (x *SearchMigratableResourcesRequest) ProtoReflect() protoreflect.Message

func (*SearchMigratableResourcesRequest) Reset 

func (x *SearchMigratableResourcesRequest) Reset()

func (*SearchMigratableResourcesRequest) String 

func (x *SearchMigratableResourcesRequest) String() string

type SearchMigratableResourcesResponse 

type SearchMigratableResourcesResponse struct {

	// All migratable resources that can be migrated to the
	// location specified in the request.
	MigratableResources []*MigratableResource `protobuf:"bytes,1,rep,name=migratable_resources,json=migratableResources,proto3" json:"migratable_resources,omitempty"`
	// The standard next-page token.
	// The migratable_resources may not fill page_size in
	// SearchMigratableResourcesRequest even when there are subsequent pages.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].

func (*SearchMigratableResourcesResponse) Descriptor deprecated 

func (*SearchMigratableResourcesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchMigratableResourcesResponse.ProtoReflect.Descriptor instead.

func (*SearchMigratableResourcesResponse) GetMigratableResources 

func (x *SearchMigratableResourcesResponse) GetMigratableResources() []*MigratableResource

func (*SearchMigratableResourcesResponse) GetNextPageToken 

func (x *SearchMigratableResourcesResponse) GetNextPageToken() string

func (*SearchMigratableResourcesResponse) ProtoMessage 

func (*SearchMigratableResourcesResponse) ProtoMessage()

func (*SearchMigratableResourcesResponse) ProtoReflect 

func (x *SearchMigratableResourcesResponse) ProtoReflect() protoreflect.Message

func (*SearchMigratableResourcesResponse) Reset 

func (x *SearchMigratableResourcesResponse) Reset()

func (*SearchMigratableResourcesResponse) String 

func (x *SearchMigratableResourcesResponse) String() string

type SearchModelDeploymentMonitoringStatsAnomaliesRequest 

type SearchModelDeploymentMonitoringStatsAnomaliesRequest struct {

	// Required. ModelDeploymentMonitoring Job resource name.
	// Format:
	// `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}
	ModelDeploymentMonitoringJob string `` /* 149-byte string literal not displayed */
	// Required. The DeployedModel ID of the
	// [google.cloud.aiplatform.master.ModelDeploymentMonitoringObjectiveConfig.deployed_model_id].
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// The feature display name. If specified, only return the stats belonging to
	// this feature. Format:
	// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name][google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.feature_display_name],
	// example: "user_destination".
	FeatureDisplayName string `protobuf:"bytes,3,opt,name=feature_display_name,json=featureDisplayName,proto3" json:"feature_display_name,omitempty"`
	// Required. Objectives of the stats to retrieve.
	Objectives []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective `protobuf:"bytes,4,rep,name=objectives,proto3" json:"objectives,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,5,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token received from a previous
	// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
	// call.
	PageToken string `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// The earliest timestamp of stats being generated.
	// If not set, indicates fetching stats till the earliest possible one.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// The latest timestamp of stats being generated.
	// If not set, indicates feching stats till the latest possible one.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor deprecated 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetDeployedModelId() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetEndTime() *timestamppb.Timestamp

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetFeatureDisplayName() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetModelDeploymentMonitoringJob() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetObjectives() []*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageSize() int32

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetPageToken() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) GetStartTime() *timestamppb.Timestamp

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest) String 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest) String() string

type SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective 

type SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective struct {
	Type ModelDeploymentMonitoringObjectiveType `` /* 138-byte string literal not displayed */
	// If set, all attribution scores between
	// [SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.start_time] and
	// [SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time][google.cloud.aiplatform.v1beta1.SearchModelDeploymentMonitoringStatsAnomaliesRequest.end_time] are
	// fetched, and page token doesn't take affect in this case.
	// Only used to retrieve attribution score for the top Features which has
	// the highest attribution score in the latest monitoring run.
	TopFeatureCount int32 `protobuf:"varint,4,opt,name=top_feature_count,json=topFeatureCount,proto3" json:"top_feature_count,omitempty"`
	// contains filtered or unexported fields
}

Stats requested for specific objective.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor deprecated 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetTopFeatureCount() int32

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) GetType() ModelDeploymentMonitoringObjectiveType

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage 

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesRequest_StatsAnomaliesObjective) String() string

type SearchModelDeploymentMonitoringStatsAnomaliesResponse 

type SearchModelDeploymentMonitoringStatsAnomaliesResponse struct {

	// Stats retrieved for requested objectives.
	// There are at most 1000
	// [ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats][google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.prediction_stats]
	// in the response.
	MonitoringStats []*ModelMonitoringStatsAnomalies `protobuf:"bytes,1,rep,name=monitoring_stats,json=monitoringStats,proto3" json:"monitoring_stats,omitempty"`
	// The page token that can be used by the next
	// [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies]
	// call.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	// contains filtered or unexported fields
}

Response message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor deprecated 

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Descriptor() ([]byte, []int)

Deprecated: Use SearchModelDeploymentMonitoringStatsAnomaliesResponse.ProtoReflect.Descriptor instead.

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetMonitoringStats() []*ModelMonitoringStatsAnomalies

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) GetNextPageToken() string

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage 

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoMessage()

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) ProtoReflect() protoreflect.Message

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) Reset()

func (*SearchModelDeploymentMonitoringStatsAnomaliesResponse) String 

func (x *SearchModelDeploymentMonitoringStatsAnomaliesResponse) String() string

type SmoothGradConfig 

type SmoothGradConfig struct {

	// Represents the standard deviation of the gaussian kernel
	// that will be used to add noise to the interpolated inputs
	// prior to computing gradients.
	//
	// Types that are assignable to GradientNoiseSigma:
	//	*SmoothGradConfig_NoiseSigma
	//	*SmoothGradConfig_FeatureNoiseSigma
	GradientNoiseSigma isSmoothGradConfig_GradientNoiseSigma `protobuf_oneof:"GradientNoiseSigma"`
	// The number of gradient samples to use for
	// approximation. The higher this number, the more accurate the gradient
	// is, but the runtime complexity increases by this factor as well.
	// Valid range of its value is [1, 50]. Defaults to 3.
	NoisySampleCount int32 `protobuf:"varint,3,opt,name=noisy_sample_count,json=noisySampleCount,proto3" json:"noisy_sample_count,omitempty"`
	// contains filtered or unexported fields
}

Config for SmoothGrad approximation of gradients.

When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf

func (*SmoothGradConfig) Descriptor deprecated 

func (*SmoothGradConfig) Descriptor() ([]byte, []int)

Deprecated: Use SmoothGradConfig.ProtoReflect.Descriptor instead.

func (*SmoothGradConfig) GetFeatureNoiseSigma 

func (x *SmoothGradConfig) GetFeatureNoiseSigma() *FeatureNoiseSigma

func (*SmoothGradConfig) GetGradientNoiseSigma 

func (m *SmoothGradConfig) GetGradientNoiseSigma() isSmoothGradConfig_GradientNoiseSigma

func (*SmoothGradConfig) GetNoiseSigma 

func (x *SmoothGradConfig) GetNoiseSigma() float32

func (*SmoothGradConfig) GetNoisySampleCount 

func (x *SmoothGradConfig) GetNoisySampleCount() int32

func (*SmoothGradConfig) ProtoMessage 

func (*SmoothGradConfig) ProtoMessage()

func (*SmoothGradConfig) ProtoReflect 

func (x *SmoothGradConfig) ProtoReflect() protoreflect.Message

func (*SmoothGradConfig) Reset 

func (x *SmoothGradConfig) Reset()

func (*SmoothGradConfig) String 

func (x *SmoothGradConfig) String() string

type SmoothGradConfig_FeatureNoiseSigma 

type SmoothGradConfig_FeatureNoiseSigma struct {
	// This is similar to [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma], but
	// provides additional flexibility. A separate noise sigma can be provided
	// for each feature, which is useful if their distributions are different.
	// No noise is added to features that are not set. If this field is unset,
	// [noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.noise_sigma] will be used for all
	// features.
	FeatureNoiseSigma *FeatureNoiseSigma `protobuf:"bytes,2,opt,name=feature_noise_sigma,json=featureNoiseSigma,proto3,oneof"`
}

type SmoothGradConfig_NoiseSigma 

type SmoothGradConfig_NoiseSigma struct {
	// This is a single float value and will be used to add noise to all the
	// features. Use this field when all features are normalized to have the
	// same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
	// features are normalized to have 0-mean and 1-variance. Learn more about
	// [normalization](https://developers.google.com/machine-learning/data-prep/transform/normalization).
	//
	// For best results the recommended value is about 10% - 20% of the standard
	// deviation of the input feature. Refer to section 3.2 of the SmoothGrad
	// paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
	//
	// If the distribution is different per feature, set
	// [feature_noise_sigma][google.cloud.aiplatform.v1beta1.SmoothGradConfig.feature_noise_sigma] instead
	// for each feature.
	NoiseSigma float32 `protobuf:"fixed32,1,opt,name=noise_sigma,json=noiseSigma,proto3,oneof"`
}

type SpecialistPool 

type SpecialistPool struct {

	// Required. The resource name of the SpecialistPool.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of the SpecialistPool.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	// This field should be unique on project-level.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. The number of Specialists in this SpecialistPool.
	SpecialistManagersCount int32 `` /* 133-byte string literal not displayed */
	// The email addresses of the specialists in the SpecialistPool.
	SpecialistManagerEmails []string `` /* 132-byte string literal not displayed */
	// Output only. The resource name of the pending data labeling jobs.
	PendingDataLabelingJobs []string `` /* 134-byte string literal not displayed */
	// contains filtered or unexported fields
}

SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers who are responsible for managing the labelers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and labelers work with the jobs using CrowdCompute console.

func (*SpecialistPool) Descriptor deprecated 

func (*SpecialistPool) Descriptor() ([]byte, []int)

Deprecated: Use SpecialistPool.ProtoReflect.Descriptor instead.

func (*SpecialistPool) GetDisplayName 

func (x *SpecialistPool) GetDisplayName() string

func (*SpecialistPool) GetName 

func (x *SpecialistPool) GetName() string

func (*SpecialistPool) GetPendingDataLabelingJobs 

func (x *SpecialistPool) GetPendingDataLabelingJobs() []string

func (*SpecialistPool) GetSpecialistManagerEmails 

func (x *SpecialistPool) GetSpecialistManagerEmails() []string

func (*SpecialistPool) GetSpecialistManagersCount 

func (x *SpecialistPool) GetSpecialistManagersCount() int32

func (*SpecialistPool) ProtoMessage 

func (*SpecialistPool) ProtoMessage()

func (*SpecialistPool) ProtoReflect 

func (x *SpecialistPool) ProtoReflect() protoreflect.Message

func (*SpecialistPool) Reset 

func (x *SpecialistPool) Reset()

func (*SpecialistPool) String 

func (x *SpecialistPool) String() string

type SpecialistPoolServiceClient 

type SpecialistPoolServiceClient interface {
	// Creates a SpecialistPool.
	CreateSpecialistPool(ctx context.Context, in *CreateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a SpecialistPool.
	GetSpecialistPool(ctx context.Context, in *GetSpecialistPoolRequest, opts ...grpc.CallOption) (*SpecialistPool, error)
	// Lists SpecialistPools in a Location.
	ListSpecialistPools(ctx context.Context, in *ListSpecialistPoolsRequest, opts ...grpc.CallOption) (*ListSpecialistPoolsResponse, error)
	// Deletes a SpecialistPool as well as all Specialists in the pool.
	DeleteSpecialistPool(ctx context.Context, in *DeleteSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Updates a SpecialistPool.
	UpdateSpecialistPool(ctx context.Context, in *UpdateSpecialistPoolRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
}

SpecialistPoolServiceClient is the client API for SpecialistPoolService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewSpecialistPoolServiceClient 

func NewSpecialistPoolServiceClient(cc grpc.ClientConnInterface) SpecialistPoolServiceClient

type SpecialistPoolServiceServer 

type SpecialistPoolServiceServer interface {
	// Creates a SpecialistPool.
	CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunning.Operation, error)
	// Gets a SpecialistPool.
	GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)
	// Lists SpecialistPools in a Location.
	ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)
	// Deletes a SpecialistPool as well as all Specialists in the pool.
	DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunning.Operation, error)
	// Updates a SpecialistPool.
	UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunning.Operation, error)
}

SpecialistPoolServiceServer is the server API for SpecialistPoolService service.

type StopTrialRequest 

type StopTrialRequest struct {

	// Required. The Trial's name.
	// Format:
	// `projects/{project}/locations/{location}/studies/{study}/trials/{trial}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].

func (*StopTrialRequest) Descriptor deprecated 

func (*StopTrialRequest) Descriptor() ([]byte, []int)

Deprecated: Use StopTrialRequest.ProtoReflect.Descriptor instead.

func (*StopTrialRequest) GetName 

func (x *StopTrialRequest) GetName() string

func (*StopTrialRequest) ProtoMessage 

func (*StopTrialRequest) ProtoMessage()

func (*StopTrialRequest) ProtoReflect 

func (x *StopTrialRequest) ProtoReflect() protoreflect.Message

func (*StopTrialRequest) Reset 

func (x *StopTrialRequest) Reset()

func (*StopTrialRequest) String 

func (x *StopTrialRequest) String() string

type StreamingReadFeatureValuesRequest 

type StreamingReadFeatureValuesRequest struct {

	// Required. The resource name of the entities' type.
	// Value format: `projects/{project}/locations/{location}/featurestores/
	// {featurestore}/entityTypes/{entityType}`. For example,
	// for a machine learning model predicting user clicks on a website, an
	// EntityType ID could be "user".
	EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Required. IDs of entities to read Feature values of. For example,
	// for a machine learning model predicting user clicks on a website, an
	// entity ID could be "user_123".
	EntityIds []string `protobuf:"bytes,2,rep,name=entity_ids,json=entityIds,proto3" json:"entity_ids,omitempty"`
	// Required. Selector choosing Features of the target EntityType.
	FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].

func (*StreamingReadFeatureValuesRequest) Descriptor deprecated 

func (*StreamingReadFeatureValuesRequest) Descriptor() ([]byte, []int)

Deprecated: Use StreamingReadFeatureValuesRequest.ProtoReflect.Descriptor instead.

func (*StreamingReadFeatureValuesRequest) GetEntityIds 

func (x *StreamingReadFeatureValuesRequest) GetEntityIds() []string

func (*StreamingReadFeatureValuesRequest) GetEntityType 

func (x *StreamingReadFeatureValuesRequest) GetEntityType() string

func (*StreamingReadFeatureValuesRequest) GetFeatureSelector 

func (x *StreamingReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector

func (*StreamingReadFeatureValuesRequest) ProtoMessage 

func (*StreamingReadFeatureValuesRequest) ProtoMessage()

func (*StreamingReadFeatureValuesRequest) ProtoReflect 

func (x *StreamingReadFeatureValuesRequest) ProtoReflect() protoreflect.Message

func (*StreamingReadFeatureValuesRequest) Reset 

func (x *StreamingReadFeatureValuesRequest) Reset()

func (*StreamingReadFeatureValuesRequest) String 

func (x *StreamingReadFeatureValuesRequest) String() string

type StringArray 

type StringArray struct {

	// A list of string values.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

A list of string values.

func (*StringArray) Descriptor deprecated 

func (*StringArray) Descriptor() ([]byte, []int)

Deprecated: Use StringArray.ProtoReflect.Descriptor instead.

func (*StringArray) GetValues 

func (x *StringArray) GetValues() []string

func (*StringArray) ProtoMessage 

func (*StringArray) ProtoMessage()

func (*StringArray) ProtoReflect 

func (x *StringArray) ProtoReflect() protoreflect.Message

func (*StringArray) Reset 

func (x *StringArray) Reset()

func (*StringArray) String 

func (x *StringArray) String() string

type Study 

type Study struct {

	// Output only. The name of a study. The study's globally unique identifier.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. Describes the Study, default value is empty string.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required. Configuration of the Study.
	StudySpec *StudySpec `protobuf:"bytes,3,opt,name=study_spec,json=studySpec,proto3" json:"study_spec,omitempty"`
	// Output only. The detailed state of a Study.
	State Study_State `protobuf:"varint,4,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.Study_State" json:"state,omitempty"`
	// Output only. Time at which the study was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. A human readable reason why the Study is inactive.
	// This should be empty if a study is ACTIVE or COMPLETED.
	InactiveReason string `protobuf:"bytes,6,opt,name=inactive_reason,json=inactiveReason,proto3" json:"inactive_reason,omitempty"`
	// contains filtered or unexported fields
}

A message representing a Study.

func (*Study) Descriptor deprecated 

func (*Study) Descriptor() ([]byte, []int)

Deprecated: Use Study.ProtoReflect.Descriptor instead.

func (*Study) GetCreateTime 

func (x *Study) GetCreateTime() *timestamppb.Timestamp

func (*Study) GetDisplayName 

func (x *Study) GetDisplayName() string

func (*Study) GetInactiveReason 

func (x *Study) GetInactiveReason() string

func (*Study) GetName 

func (x *Study) GetName() string

func (*Study) GetState 

func (x *Study) GetState() Study_State

func (*Study) GetStudySpec 

func (x *Study) GetStudySpec() *StudySpec

func (*Study) ProtoMessage 

func (*Study) ProtoMessage()

func (*Study) ProtoReflect 

func (x *Study) ProtoReflect() protoreflect.Message

func (*Study) Reset 

func (x *Study) Reset()

func (*Study) String 

func (x *Study) String() string

type StudySpec 

type StudySpec struct {

	// Types that are assignable to AutomatedStoppingSpec:
	//	*StudySpec_DecayCurveStoppingSpec
	//	*StudySpec_MedianAutomatedStoppingSpec_
	//	*StudySpec_ConvexStopConfig_
	AutomatedStoppingSpec isStudySpec_AutomatedStoppingSpec `protobuf_oneof:"automated_stopping_spec"`
	// Required. Metric specs for the Study.
	Metrics []*StudySpec_MetricSpec `protobuf:"bytes,1,rep,name=metrics,proto3" json:"metrics,omitempty"`
	// Required. The set of parameters to tune.
	Parameters []*StudySpec_ParameterSpec `protobuf:"bytes,2,rep,name=parameters,proto3" json:"parameters,omitempty"`
	// The search algorithm specified for the Study.
	Algorithm StudySpec_Algorithm `` /* 129-byte string literal not displayed */
	// The observation noise level of the study.
	// Currently only supported by the Vizier service. Not supported by
	// HyperparamterTuningJob or TrainingPipeline.
	ObservationNoise StudySpec_ObservationNoise `` /* 174-byte string literal not displayed */
	// Describe which measurement selection type will be used
	MeasurementSelectionType StudySpec_MeasurementSelectionType `` /* 208-byte string literal not displayed */
	// contains filtered or unexported fields
}

Represents specification of a Study.

func (*StudySpec) Descriptor deprecated 

func (*StudySpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec.ProtoReflect.Descriptor instead.

func (*StudySpec) GetAlgorithm 

func (x *StudySpec) GetAlgorithm() StudySpec_Algorithm

func (*StudySpec) GetAutomatedStoppingSpec 

func (m *StudySpec) GetAutomatedStoppingSpec() isStudySpec_AutomatedStoppingSpec

func (*StudySpec) GetConvexStopConfig 

func (x *StudySpec) GetConvexStopConfig() *StudySpec_ConvexStopConfig

func (*StudySpec) GetDecayCurveStoppingSpec 

func (x *StudySpec) GetDecayCurveStoppingSpec() *StudySpec_DecayCurveAutomatedStoppingSpec

func (*StudySpec) GetMeasurementSelectionType 

func (x *StudySpec) GetMeasurementSelectionType() StudySpec_MeasurementSelectionType

func (*StudySpec) GetMedianAutomatedStoppingSpec 

func (x *StudySpec) GetMedianAutomatedStoppingSpec() *StudySpec_MedianAutomatedStoppingSpec

func (*StudySpec) GetMetrics 

func (x *StudySpec) GetMetrics() []*StudySpec_MetricSpec

func (*StudySpec) GetObservationNoise 

func (x *StudySpec) GetObservationNoise() StudySpec_ObservationNoise

func (*StudySpec) GetParameters 

func (x *StudySpec) GetParameters() []*StudySpec_ParameterSpec

func (*StudySpec) ProtoMessage 

func (*StudySpec) ProtoMessage()

func (*StudySpec) ProtoReflect 

func (x *StudySpec) ProtoReflect() protoreflect.Message

func (*StudySpec) Reset 

func (x *StudySpec) Reset()

func (*StudySpec) String 

func (x *StudySpec) String() string

type StudySpec_Algorithm 

type StudySpec_Algorithm int32

The available search algorithms for the Study. 

const (
	// The default algorithm used by Vertex AI for [hyperparameter
	// tuning](https://cloud.google.com/vertex-ai/docs/training/hyperparameter-tuning-overview)
	// and [Vertex Vizier](https://cloud.google.com/vertex-ai/docs/vizier).
	StudySpec_ALGORITHM_UNSPECIFIED StudySpec_Algorithm = 0
	// Simple grid search within the feasible space. To use grid search,
	// all parameters must be `INTEGER`, `CATEGORICAL`, or `DISCRETE`.
	StudySpec_GRID_SEARCH StudySpec_Algorithm = 2
	// Simple random search within the feasible space.
	StudySpec_RANDOM_SEARCH StudySpec_Algorithm = 3
)

func (StudySpec_Algorithm) Descriptor 

func (StudySpec_Algorithm) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_Algorithm) Enum 

func (x StudySpec_Algorithm) Enum() *StudySpec_Algorithm

func (StudySpec_Algorithm) EnumDescriptor deprecated 

func (StudySpec_Algorithm) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_Algorithm.Descriptor instead.

func (StudySpec_Algorithm) Number 

func (x StudySpec_Algorithm) Number() protoreflect.EnumNumber

func (StudySpec_Algorithm) String 

func (x StudySpec_Algorithm) String() string

func (StudySpec_Algorithm) Type 

func (StudySpec_Algorithm) Type() protoreflect.EnumType

type StudySpec_ConvexStopConfig 

type StudySpec_ConvexStopConfig struct {

	// Steps used in predicting the final objective for early stopped trials. In
	// general, it's set to be the same as the defined steps in training /
	// tuning. When use_steps is false, this field is set to the maximum elapsed
	// seconds.
	MaxNumSteps int64 `protobuf:"varint,1,opt,name=max_num_steps,json=maxNumSteps,proto3" json:"max_num_steps,omitempty"`
	// Minimum number of steps for a trial to complete. Trials which do not have
	// a measurement with num_steps > min_num_steps won't be considered for
	// early stopping. It's ok to set it to 0, and a trial can be early stopped
	// at any stage. By default, min_num_steps is set to be one-tenth of the
	// max_num_steps.
	// When use_steps is false, this field is set to the minimum elapsed
	// seconds.
	MinNumSteps int64 `protobuf:"varint,2,opt,name=min_num_steps,json=minNumSteps,proto3" json:"min_num_steps,omitempty"`
	// The number of Trial measurements used in autoregressive model for
	// value prediction. A trial won't be considered early stopping if has fewer
	// measurement points.
	AutoregressiveOrder int64 `protobuf:"varint,3,opt,name=autoregressive_order,json=autoregressiveOrder,proto3" json:"autoregressive_order,omitempty"`
	// The hyper-parameter name used in the tuning job that stands for learning
	// rate. Leave it blank if learning rate is not in a parameter in tuning.
	// The learning_rate is used to estimate the objective value of the ongoing
	// trial.
	LearningRateParameterName string `` /* 140-byte string literal not displayed */
	// This bool determines whether or not the rule is applied based on
	// elapsed_secs or steps. If use_seconds==false, the early stopping decision
	// is made according to the predicted objective values according to the
	// target steps. If use_seconds==true, elapsed_secs is used instead of
	// steps. Also, in this case, the parameters max_num_steps and min_num_steps
	// are overloaded to contain max_elapsed_seconds and min_elapsed_seconds.
	UseSeconds bool `protobuf:"varint,5,opt,name=use_seconds,json=useSeconds,proto3" json:"use_seconds,omitempty"`
	// contains filtered or unexported fields
}

Configuration for ConvexStopPolicy.

func (*StudySpec_ConvexStopConfig) Descriptor deprecated 

func (*StudySpec_ConvexStopConfig) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ConvexStopConfig.ProtoReflect.Descriptor instead.

func (*StudySpec_ConvexStopConfig) GetAutoregressiveOrder 

func (x *StudySpec_ConvexStopConfig) GetAutoregressiveOrder() int64

func (*StudySpec_ConvexStopConfig) GetLearningRateParameterName 

func (x *StudySpec_ConvexStopConfig) GetLearningRateParameterName() string

func (*StudySpec_ConvexStopConfig) GetMaxNumSteps 

func (x *StudySpec_ConvexStopConfig) GetMaxNumSteps() int64

func (*StudySpec_ConvexStopConfig) GetMinNumSteps 

func (x *StudySpec_ConvexStopConfig) GetMinNumSteps() int64

func (*StudySpec_ConvexStopConfig) GetUseSeconds 

func (x *StudySpec_ConvexStopConfig) GetUseSeconds() bool

func (*StudySpec_ConvexStopConfig) ProtoMessage 

func (*StudySpec_ConvexStopConfig) ProtoMessage()

func (*StudySpec_ConvexStopConfig) ProtoReflect 

func (x *StudySpec_ConvexStopConfig) ProtoReflect() protoreflect.Message

func (*StudySpec_ConvexStopConfig) Reset 

func (x *StudySpec_ConvexStopConfig) Reset()

func (*StudySpec_ConvexStopConfig) String 

func (x *StudySpec_ConvexStopConfig) String() string

type StudySpec_ConvexStopConfig_ 

type StudySpec_ConvexStopConfig_ struct {
	// The automated early stopping using convex stopping rule.
	ConvexStopConfig *StudySpec_ConvexStopConfig `protobuf:"bytes,8,opt,name=convex_stop_config,json=convexStopConfig,proto3,oneof"`
}

type StudySpec_DecayCurveAutomatedStoppingSpec 

type StudySpec_DecayCurveAutomatedStoppingSpec struct {

	// True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each
	// Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used
	// as the x-axis.
	UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
	// contains filtered or unexported fields
}

The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial. Early stopping is requested for the current Trial if there is very low probability to exceed the optimal value found so far.

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor deprecated 

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_DecayCurveAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage 

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_DecayCurveAutomatedStoppingSpec) Reset 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) Reset()

func (*StudySpec_DecayCurveAutomatedStoppingSpec) String 

func (x *StudySpec_DecayCurveAutomatedStoppingSpec) String() string

type StudySpec_DecayCurveStoppingSpec 

type StudySpec_DecayCurveStoppingSpec struct {
	// The automated early stopping spec using decay curve rule.
	DecayCurveStoppingSpec *StudySpec_DecayCurveAutomatedStoppingSpec `protobuf:"bytes,4,opt,name=decay_curve_stopping_spec,json=decayCurveStoppingSpec,proto3,oneof"`
}

type StudySpec_MeasurementSelectionType 

type StudySpec_MeasurementSelectionType int32

This indicates which measurement to use if/when the service automatically selects the final measurement from previously reported intermediate measurements. Choose this based on two considerations: 

A) Do you expect your measurements to monotonically improve?
   If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
   situation where your system can "over-train" and you expect the
   performance to get better for a while but then start declining,
   choose BEST_MEASUREMENT.
B) Are your measurements significantly noisy and/or irreproducible?
   If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
   may be better to choose LAST_MEASUREMENT.
If both or neither of (A) and (B) apply, it doesn't matter which
selection type is chosen.

const (
	// Will be treated as LAST_MEASUREMENT.
	StudySpec_MEASUREMENT_SELECTION_TYPE_UNSPECIFIED StudySpec_MeasurementSelectionType = 0
	// Use the last measurement reported.
	StudySpec_LAST_MEASUREMENT StudySpec_MeasurementSelectionType = 1
	// Use the best measurement reported.
	StudySpec_BEST_MEASUREMENT StudySpec_MeasurementSelectionType = 2
)

func (StudySpec_MeasurementSelectionType) Descriptor 

func (StudySpec_MeasurementSelectionType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_MeasurementSelectionType) Enum 

func (x StudySpec_MeasurementSelectionType) Enum() *StudySpec_MeasurementSelectionType

func (StudySpec_MeasurementSelectionType) EnumDescriptor deprecated 

func (StudySpec_MeasurementSelectionType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_MeasurementSelectionType.Descriptor instead.

func (StudySpec_MeasurementSelectionType) Number 

func (x StudySpec_MeasurementSelectionType) Number() protoreflect.EnumNumber

func (StudySpec_MeasurementSelectionType) String 

func (x StudySpec_MeasurementSelectionType) String() string

func (StudySpec_MeasurementSelectionType) Type 

func (StudySpec_MeasurementSelectionType) Type() protoreflect.EnumType

type StudySpec_MedianAutomatedStoppingSpec 

type StudySpec_MedianAutomatedStoppingSpec struct {

	// True if median automated stopping rule applies on
	// [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration]. It means that elapsed_duration
	// field of latest measurement of current Trial is used to compute median
	// objective value for each completed Trials.
	UseElapsedDuration bool `protobuf:"varint,1,opt,name=use_elapsed_duration,json=useElapsedDuration,proto3" json:"use_elapsed_duration,omitempty"`
	// contains filtered or unexported fields
}

The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the Trial in each measurement.

func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor deprecated 

func (*StudySpec_MedianAutomatedStoppingSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MedianAutomatedStoppingSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration 

func (x *StudySpec_MedianAutomatedStoppingSpec) GetUseElapsedDuration() bool

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage 

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoMessage()

func (*StudySpec_MedianAutomatedStoppingSpec) ProtoReflect 

func (x *StudySpec_MedianAutomatedStoppingSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_MedianAutomatedStoppingSpec) Reset 

func (x *StudySpec_MedianAutomatedStoppingSpec) Reset()

func (*StudySpec_MedianAutomatedStoppingSpec) String 

func (x *StudySpec_MedianAutomatedStoppingSpec) String() string

type StudySpec_MedianAutomatedStoppingSpec_ 

type StudySpec_MedianAutomatedStoppingSpec_ struct {
	// The automated early stopping spec using median rule.
	MedianAutomatedStoppingSpec *StudySpec_MedianAutomatedStoppingSpec `protobuf:"bytes,5,opt,name=median_automated_stopping_spec,json=medianAutomatedStoppingSpec,proto3,oneof"`
}

type StudySpec_MetricSpec 

type StudySpec_MetricSpec struct {

	// Required. The ID of the metric. Must not contain whitespaces and must be unique
	// amongst all MetricSpecs.
	MetricId string `protobuf:"bytes,1,opt,name=metric_id,json=metricId,proto3" json:"metric_id,omitempty"`
	// Required. The optimization goal of the metric.
	Goal StudySpec_MetricSpec_GoalType `` /* 129-byte string literal not displayed */
	// contains filtered or unexported fields
}

Represents a metric to optimize.

func (*StudySpec_MetricSpec) Descriptor deprecated 

func (*StudySpec_MetricSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_MetricSpec) GetGoal 

func (x *StudySpec_MetricSpec) GetGoal() StudySpec_MetricSpec_GoalType

func (*StudySpec_MetricSpec) GetMetricId 

func (x *StudySpec_MetricSpec) GetMetricId() string

func (*StudySpec_MetricSpec) ProtoMessage 

func (*StudySpec_MetricSpec) ProtoMessage()

func (*StudySpec_MetricSpec) ProtoReflect 

func (x *StudySpec_MetricSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_MetricSpec) Reset 

func (x *StudySpec_MetricSpec) Reset()

func (*StudySpec_MetricSpec) String 

func (x *StudySpec_MetricSpec) String() string

type StudySpec_MetricSpec_GoalType 

type StudySpec_MetricSpec_GoalType int32

The available types of optimization goals. 

const (
	// Goal Type will default to maximize.
	StudySpec_MetricSpec_GOAL_TYPE_UNSPECIFIED StudySpec_MetricSpec_GoalType = 0
	// Maximize the goal metric.
	StudySpec_MetricSpec_MAXIMIZE StudySpec_MetricSpec_GoalType = 1
	// Minimize the goal metric.
	StudySpec_MetricSpec_MINIMIZE StudySpec_MetricSpec_GoalType = 2
)

func (StudySpec_MetricSpec_GoalType) Descriptor 

func (StudySpec_MetricSpec_GoalType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_MetricSpec_GoalType) Enum 

func (x StudySpec_MetricSpec_GoalType) Enum() *StudySpec_MetricSpec_GoalType

func (StudySpec_MetricSpec_GoalType) EnumDescriptor deprecated 

func (StudySpec_MetricSpec_GoalType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_MetricSpec_GoalType.Descriptor instead.

func (StudySpec_MetricSpec_GoalType) Number 

func (x StudySpec_MetricSpec_GoalType) Number() protoreflect.EnumNumber

func (StudySpec_MetricSpec_GoalType) String 

func (x StudySpec_MetricSpec_GoalType) String() string

func (StudySpec_MetricSpec_GoalType) Type 

func (StudySpec_MetricSpec_GoalType) Type() protoreflect.EnumType

type StudySpec_ObservationNoise 

type StudySpec_ObservationNoise int32

Describes the noise level of the repeated observations.

"Noisy" means that the repeated observations with the same Trial parameters may lead to different metric evaluations. 

const (
	// The default noise level chosen by Vertex AI.
	StudySpec_OBSERVATION_NOISE_UNSPECIFIED StudySpec_ObservationNoise = 0
	// Vertex AI assumes that the objective function is (nearly)
	// perfectly reproducible, and will never repeat the same Trial
	// parameters.
	StudySpec_LOW StudySpec_ObservationNoise = 1
	// Vertex AI will estimate the amount of noise in metric
	// evaluations, it may repeat the same Trial parameters more than once.
	StudySpec_HIGH StudySpec_ObservationNoise = 2
)

func (StudySpec_ObservationNoise) Descriptor 

func (StudySpec_ObservationNoise) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_ObservationNoise) Enum 

func (x StudySpec_ObservationNoise) Enum() *StudySpec_ObservationNoise

func (StudySpec_ObservationNoise) EnumDescriptor deprecated 

func (StudySpec_ObservationNoise) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_ObservationNoise.Descriptor instead.

func (StudySpec_ObservationNoise) Number 

func (x StudySpec_ObservationNoise) Number() protoreflect.EnumNumber

func (StudySpec_ObservationNoise) String 

func (x StudySpec_ObservationNoise) String() string

func (StudySpec_ObservationNoise) Type 

func (StudySpec_ObservationNoise) Type() protoreflect.EnumType

type StudySpec_ParameterSpec 

type StudySpec_ParameterSpec struct {

	// Types that are assignable to ParameterValueSpec:
	//	*StudySpec_ParameterSpec_DoubleValueSpec_
	//	*StudySpec_ParameterSpec_IntegerValueSpec_
	//	*StudySpec_ParameterSpec_CategoricalValueSpec_
	//	*StudySpec_ParameterSpec_DiscreteValueSpec_
	ParameterValueSpec isStudySpec_ParameterSpec_ParameterValueSpec `protobuf_oneof:"parameter_value_spec"`
	// Required. The ID of the parameter. Must not contain whitespaces and must be unique
	// amongst all ParameterSpecs.
	ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`
	// How the parameter should be scaled.
	// Leave unset for `CATEGORICAL` parameters.
	ScaleType StudySpec_ParameterSpec_ScaleType `` /* 160-byte string literal not displayed */
	// A conditional parameter node is active if the parameter's value matches
	// the conditional node's parent_value_condition.
	//
	// If two items in conditional_parameter_specs have the same name, they
	// must have disjoint parent_value_condition.
	ConditionalParameterSpecs []*StudySpec_ParameterSpec_ConditionalParameterSpec `` /* 139-byte string literal not displayed */
	// contains filtered or unexported fields
}

Represents a single parameter to optimize.

func (*StudySpec_ParameterSpec) Descriptor deprecated 

func (*StudySpec_ParameterSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec) GetCategoricalValueSpec 

func (x *StudySpec_ParameterSpec) GetCategoricalValueSpec() *StudySpec_ParameterSpec_CategoricalValueSpec

func (*StudySpec_ParameterSpec) GetConditionalParameterSpecs 

func (x *StudySpec_ParameterSpec) GetConditionalParameterSpecs() []*StudySpec_ParameterSpec_ConditionalParameterSpec

func (*StudySpec_ParameterSpec) GetDiscreteValueSpec 

func (x *StudySpec_ParameterSpec) GetDiscreteValueSpec() *StudySpec_ParameterSpec_DiscreteValueSpec

func (*StudySpec_ParameterSpec) GetDoubleValueSpec 

func (x *StudySpec_ParameterSpec) GetDoubleValueSpec() *StudySpec_ParameterSpec_DoubleValueSpec

func (*StudySpec_ParameterSpec) GetIntegerValueSpec 

func (x *StudySpec_ParameterSpec) GetIntegerValueSpec() *StudySpec_ParameterSpec_IntegerValueSpec

func (*StudySpec_ParameterSpec) GetParameterId 

func (x *StudySpec_ParameterSpec) GetParameterId() string

func (*StudySpec_ParameterSpec) GetParameterValueSpec 

func (m *StudySpec_ParameterSpec) GetParameterValueSpec() isStudySpec_ParameterSpec_ParameterValueSpec

func (*StudySpec_ParameterSpec) GetScaleType 

func (x *StudySpec_ParameterSpec) GetScaleType() StudySpec_ParameterSpec_ScaleType

func (*StudySpec_ParameterSpec) ProtoMessage 

func (*StudySpec_ParameterSpec) ProtoMessage()

func (*StudySpec_ParameterSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec) Reset 

func (x *StudySpec_ParameterSpec) Reset()

func (*StudySpec_ParameterSpec) String 

func (x *StudySpec_ParameterSpec) String() string

type StudySpec_ParameterSpec_CategoricalValueSpec 

type StudySpec_ParameterSpec_CategoricalValueSpec struct {

	// Required. The list of possible categories.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `CATEGORICAL` type.

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor deprecated 

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_CategoricalValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_CategoricalValueSpec) GetValues 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) GetValues() []string

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_CategoricalValueSpec) Reset 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) Reset()

func (*StudySpec_ParameterSpec_CategoricalValueSpec) String 

func (x *StudySpec_ParameterSpec_CategoricalValueSpec) String() string

type StudySpec_ParameterSpec_CategoricalValueSpec_ 

type StudySpec_ParameterSpec_CategoricalValueSpec_ struct {
	// The value spec for a 'CATEGORICAL' parameter.
	CategoricalValueSpec *StudySpec_ParameterSpec_CategoricalValueSpec `protobuf:"bytes,4,opt,name=categorical_value_spec,json=categoricalValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_ConditionalParameterSpec 

type StudySpec_ParameterSpec_ConditionalParameterSpec struct {

	// A set of parameter values from the parent ParameterSpec's feasible
	// space.
	//
	// Types that are assignable to ParentValueCondition:
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues
	//	*StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues
	ParentValueCondition isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition `protobuf_oneof:"parent_value_condition"`
	// Required. The spec for a conditional parameter.
	ParameterSpec *StudySpec_ParameterSpec `protobuf:"bytes,1,opt,name=parameter_spec,json=parameterSpec,proto3" json:"parameter_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents a parameter spec with condition from its parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor deprecated 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParameterSpec() *StudySpec_ParameterSpec

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentCategoricalValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentDiscreteValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentIntValues() *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition 

func (m *StudySpec_ParameterSpec_ConditionalParameterSpec) GetParentValueCondition() isStudySpec_ParameterSpec_ConditionalParameterSpec_ParentValueCondition

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition 

type StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition struct {

	// Required. Matches values of the parent parameter of 'CATEGORICAL' type.
	// All values must exist in `categorical_value_spec` of parent
	// parameter.
	Values []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match categorical values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor deprecated 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) GetValues() []string

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition 

type StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition struct {

	// Required. Matches values of the parent parameter of 'DISCRETE' type.
	// All values must exist in `discrete_value_spec` of parent parameter.
	//
	// The Epsilon of the value matching is 1e-10.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match discrete values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor deprecated 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) GetValues() []float64

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition 

type StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition struct {

	// Required. Matches values of the parent parameter of 'INTEGER' type.
	// All values must lie in `integer_value_spec` of parent parameter.
	Values []int64 `protobuf:"varint,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec to match integer values from parent parameter.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor deprecated 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) GetValues() []int64

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage 

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoMessage()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) Reset()

func (*StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String 

func (x *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition) String() string

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues 

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentCategoricalValues struct {
	// The spec for matching values from a parent parameter of
	// `CATEGORICAL` type.
	ParentCategoricalValues *StudySpec_ParameterSpec_ConditionalParameterSpec_CategoricalValueCondition `protobuf:"bytes,4,opt,name=parent_categorical_values,json=parentCategoricalValues,proto3,oneof"`
}

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues 

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentDiscreteValues struct {
	// The spec for matching values from a parent parameter of
	// `DISCRETE` type.
	ParentDiscreteValues *StudySpec_ParameterSpec_ConditionalParameterSpec_DiscreteValueCondition `protobuf:"bytes,2,opt,name=parent_discrete_values,json=parentDiscreteValues,proto3,oneof"`
}

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues 

type StudySpec_ParameterSpec_ConditionalParameterSpec_ParentIntValues struct {
	// The spec for matching values from a parent parameter of `INTEGER`
	// type.
	ParentIntValues *StudySpec_ParameterSpec_ConditionalParameterSpec_IntValueCondition `protobuf:"bytes,3,opt,name=parent_int_values,json=parentIntValues,proto3,oneof"`
}

type StudySpec_ParameterSpec_DiscreteValueSpec 

type StudySpec_ParameterSpec_DiscreteValueSpec struct {

	// Required. A list of possible values.
	// The list should be in increasing order and at least 1e-10 apart.
	// For instance, this parameter might have possible settings of 1.5, 2.5,
	// and 4.0. This list should not contain more than 1,000 values.
	Values []float64 `protobuf:"fixed64,1,rep,packed,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `DISCRETE` type.

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor deprecated 

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_DiscreteValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_DiscreteValueSpec) GetValues 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) GetValues() []float64

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_DiscreteValueSpec) Reset 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) Reset()

func (*StudySpec_ParameterSpec_DiscreteValueSpec) String 

func (x *StudySpec_ParameterSpec_DiscreteValueSpec) String() string

type StudySpec_ParameterSpec_DiscreteValueSpec_ 

type StudySpec_ParameterSpec_DiscreteValueSpec_ struct {
	// The value spec for a 'DISCRETE' parameter.
	DiscreteValueSpec *StudySpec_ParameterSpec_DiscreteValueSpec `protobuf:"bytes,5,opt,name=discrete_value_spec,json=discreteValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_DoubleValueSpec 

type StudySpec_ParameterSpec_DoubleValueSpec struct {

	// Required. Inclusive minimum value of the parameter.
	MinValue float64 `protobuf:"fixed64,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// Required. Inclusive maximum value of the parameter.
	MaxValue float64 `protobuf:"fixed64,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `DOUBLE` type.

func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor deprecated 

func (*StudySpec_ParameterSpec_DoubleValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_DoubleValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMaxValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) GetMinValue() float64

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_DoubleValueSpec) Reset 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) Reset()

func (*StudySpec_ParameterSpec_DoubleValueSpec) String 

func (x *StudySpec_ParameterSpec_DoubleValueSpec) String() string

type StudySpec_ParameterSpec_DoubleValueSpec_ 

type StudySpec_ParameterSpec_DoubleValueSpec_ struct {
	// The value spec for a 'DOUBLE' parameter.
	DoubleValueSpec *StudySpec_ParameterSpec_DoubleValueSpec `protobuf:"bytes,2,opt,name=double_value_spec,json=doubleValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_IntegerValueSpec 

type StudySpec_ParameterSpec_IntegerValueSpec struct {

	// Required. Inclusive minimum value of the parameter.
	MinValue int64 `protobuf:"varint,1,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	// Required. Inclusive maximum value of the parameter.
	MaxValue int64 `protobuf:"varint,2,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	// contains filtered or unexported fields
}

Value specification for a parameter in `INTEGER` type.

func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor deprecated 

func (*StudySpec_ParameterSpec_IntegerValueSpec) Descriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_IntegerValueSpec.ProtoReflect.Descriptor instead.

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMaxValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) GetMinValue() int64

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage 

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoMessage()

func (*StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) ProtoReflect() protoreflect.Message

func (*StudySpec_ParameterSpec_IntegerValueSpec) Reset 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) Reset()

func (*StudySpec_ParameterSpec_IntegerValueSpec) String 

func (x *StudySpec_ParameterSpec_IntegerValueSpec) String() string

type StudySpec_ParameterSpec_IntegerValueSpec_ 

type StudySpec_ParameterSpec_IntegerValueSpec_ struct {
	// The value spec for an 'INTEGER' parameter.
	IntegerValueSpec *StudySpec_ParameterSpec_IntegerValueSpec `protobuf:"bytes,3,opt,name=integer_value_spec,json=integerValueSpec,proto3,oneof"`
}

type StudySpec_ParameterSpec_ScaleType 

type StudySpec_ParameterSpec_ScaleType int32

The type of scaling that should be applied to this parameter. 

const (
	// By default, no scaling is applied.
	StudySpec_ParameterSpec_SCALE_TYPE_UNSPECIFIED StudySpec_ParameterSpec_ScaleType = 0
	// Scales the feasible space to (0, 1) linearly.
	StudySpec_ParameterSpec_UNIT_LINEAR_SCALE StudySpec_ParameterSpec_ScaleType = 1
	// Scales the feasible space logarithmically to (0, 1). The entire
	// feasible space must be strictly positive.
	StudySpec_ParameterSpec_UNIT_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 2
	// Scales the feasible space "reverse" logarithmically to (0, 1). The
	// result is that values close to the top of the feasible space are spread
	// out more than points near the bottom. The entire feasible space must be
	// strictly positive.
	StudySpec_ParameterSpec_UNIT_REVERSE_LOG_SCALE StudySpec_ParameterSpec_ScaleType = 3
)

func (StudySpec_ParameterSpec_ScaleType) Descriptor 

func (StudySpec_ParameterSpec_ScaleType) Descriptor() protoreflect.EnumDescriptor

func (StudySpec_ParameterSpec_ScaleType) Enum 

func (x StudySpec_ParameterSpec_ScaleType) Enum() *StudySpec_ParameterSpec_ScaleType

func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor deprecated 

func (StudySpec_ParameterSpec_ScaleType) EnumDescriptor() ([]byte, []int)

Deprecated: Use StudySpec_ParameterSpec_ScaleType.Descriptor instead.

func (StudySpec_ParameterSpec_ScaleType) Number 

func (x StudySpec_ParameterSpec_ScaleType) Number() protoreflect.EnumNumber

func (StudySpec_ParameterSpec_ScaleType) String 

func (x StudySpec_ParameterSpec_ScaleType) String() string

func (StudySpec_ParameterSpec_ScaleType) Type 

func (StudySpec_ParameterSpec_ScaleType) Type() protoreflect.EnumType

type Study_State 

type Study_State int32

Describes the Study state. 

const (
	// The study state is unspecified.
	Study_STATE_UNSPECIFIED Study_State = 0
	// The study is active.
	Study_ACTIVE Study_State = 1
	// The study is stopped due to an internal error.
	Study_INACTIVE Study_State = 2
	// The study is done when the service exhausts the parameter search space
	// or max_trial_count is reached.
	Study_COMPLETED Study_State = 3
)

func (Study_State) Descriptor 

func (Study_State) Descriptor() protoreflect.EnumDescriptor

func (Study_State) Enum 

func (x Study_State) Enum() *Study_State

func (Study_State) EnumDescriptor deprecated 

func (Study_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Study_State.Descriptor instead.

func (Study_State) Number 

func (x Study_State) Number() protoreflect.EnumNumber

func (Study_State) String 

func (x Study_State) String() string

func (Study_State) Type 

func (Study_State) Type() protoreflect.EnumType

type SuggestTrialsMetadata 

type SuggestTrialsMetadata struct {

	// Operation metadata for suggesting Trials.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The identifier of the client that is requesting the suggestion.
	//
	// If multiple SuggestTrialsRequests have the same `client_id`,
	// the service will return the identical suggested Trial if the Trial is
	// pending, and provide a new Trial if the last suggested Trial was completed.
	ClientId string `protobuf:"bytes,2,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform Trials suggestion.

func (*SuggestTrialsMetadata) Descriptor deprecated 

func (*SuggestTrialsMetadata) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsMetadata.ProtoReflect.Descriptor instead.

func (*SuggestTrialsMetadata) GetClientId 

func (x *SuggestTrialsMetadata) GetClientId() string

func (*SuggestTrialsMetadata) GetGenericMetadata 

func (x *SuggestTrialsMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*SuggestTrialsMetadata) ProtoMessage 

func (*SuggestTrialsMetadata) ProtoMessage()

func (*SuggestTrialsMetadata) ProtoReflect 

func (x *SuggestTrialsMetadata) ProtoReflect() protoreflect.Message

func (*SuggestTrialsMetadata) Reset 

func (x *SuggestTrialsMetadata) Reset()

func (*SuggestTrialsMetadata) String 

func (x *SuggestTrialsMetadata) String() string

type SuggestTrialsRequest 

type SuggestTrialsRequest struct {

	// Required. The project and location that the Study belongs to.
	// Format: `projects/{project}/locations/{location}/studies/{study}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The number of suggestions requested.
	SuggestionCount int32 `protobuf:"varint,2,opt,name=suggestion_count,json=suggestionCount,proto3" json:"suggestion_count,omitempty"`
	// Required. The identifier of the client that is requesting the suggestion.
	//
	// If multiple SuggestTrialsRequests have the same `client_id`,
	// the service will return the identical suggested Trial if the Trial is
	// pending, and provide a new Trial if the last suggested Trial was completed.
	ClientId string `protobuf:"bytes,3,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].

func (*SuggestTrialsRequest) Descriptor deprecated 

func (*SuggestTrialsRequest) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsRequest.ProtoReflect.Descriptor instead.

func (*SuggestTrialsRequest) GetClientId 

func (x *SuggestTrialsRequest) GetClientId() string

func (*SuggestTrialsRequest) GetParent 

func (x *SuggestTrialsRequest) GetParent() string

func (*SuggestTrialsRequest) GetSuggestionCount 

func (x *SuggestTrialsRequest) GetSuggestionCount() int32

func (*SuggestTrialsRequest) ProtoMessage 

func (*SuggestTrialsRequest) ProtoMessage()

func (*SuggestTrialsRequest) ProtoReflect 

func (x *SuggestTrialsRequest) ProtoReflect() protoreflect.Message

func (*SuggestTrialsRequest) Reset 

func (x *SuggestTrialsRequest) Reset()

func (*SuggestTrialsRequest) String 

func (x *SuggestTrialsRequest) String() string

type SuggestTrialsResponse 

type SuggestTrialsResponse struct {

	// A list of Trials.
	Trials []*Trial `protobuf:"bytes,1,rep,name=trials,proto3" json:"trials,omitempty"`
	// The state of the Study.
	StudyState Study_State `` /* 141-byte string literal not displayed */
	// The time at which the operation was started.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// The time at which operation processing completed.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// contains filtered or unexported fields
}

Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].

func (*SuggestTrialsResponse) Descriptor deprecated 

func (*SuggestTrialsResponse) Descriptor() ([]byte, []int)

Deprecated: Use SuggestTrialsResponse.ProtoReflect.Descriptor instead.

func (*SuggestTrialsResponse) GetEndTime 

func (x *SuggestTrialsResponse) GetEndTime() *timestamppb.Timestamp

func (*SuggestTrialsResponse) GetStartTime 

func (x *SuggestTrialsResponse) GetStartTime() *timestamppb.Timestamp

func (*SuggestTrialsResponse) GetStudyState 

func (x *SuggestTrialsResponse) GetStudyState() Study_State

func (*SuggestTrialsResponse) GetTrials 

func (x *SuggestTrialsResponse) GetTrials() []*Trial

func (*SuggestTrialsResponse) ProtoMessage 

func (*SuggestTrialsResponse) ProtoMessage()

func (*SuggestTrialsResponse) ProtoReflect 

func (x *SuggestTrialsResponse) ProtoReflect() protoreflect.Message

func (*SuggestTrialsResponse) Reset 

func (x *SuggestTrialsResponse) Reset()

func (*SuggestTrialsResponse) String 

func (x *SuggestTrialsResponse) String() string

type TFRecordDestination 

type TFRecordDestination struct {

	// Required. Google Cloud Storage location.
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3" json:"gcs_destination,omitempty"`
	// contains filtered or unexported fields
}

The storage details for TFRecord output content.

func (*TFRecordDestination) Descriptor deprecated 

func (*TFRecordDestination) Descriptor() ([]byte, []int)

Deprecated: Use TFRecordDestination.ProtoReflect.Descriptor instead.

func (*TFRecordDestination) GetGcsDestination 

func (x *TFRecordDestination) GetGcsDestination() *GcsDestination

func (*TFRecordDestination) ProtoMessage 

func (*TFRecordDestination) ProtoMessage()

func (*TFRecordDestination) ProtoReflect 

func (x *TFRecordDestination) ProtoReflect() protoreflect.Message

func (*TFRecordDestination) Reset 

func (x *TFRecordDestination) Reset()

func (*TFRecordDestination) String 

func (x *TFRecordDestination) String() string

type Tensorboard 

type Tensorboard struct {

	// Output only. Name of the Tensorboard.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of this Tensorboard.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this Tensorboard.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Customer-managed encryption key spec for a Tensorboard. If set, this
	// Tensorboard and all sub-resources of this Tensorboard will be secured by
	// this key.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,11,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// Output only. Consumer project Cloud Storage path prefix used to store blob data, which
	// can either be a bucket or directory. Does not end with a '/'.
	BlobStoragePathPrefix string `` /* 129-byte string literal not displayed */
	// Output only. The number of Runs stored in this Tensorboard.
	RunCount int32 `protobuf:"varint,5,opt,name=run_count,json=runCount,proto3" json:"run_count,omitempty"`
	// Output only. Timestamp when this Tensorboard was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this Tensorboard was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize your Tensorboards.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Tensorboard
	// (System labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects.

func (*Tensorboard) Descriptor deprecated 

func (*Tensorboard) Descriptor() ([]byte, []int)

Deprecated: Use Tensorboard.ProtoReflect.Descriptor instead.

func (*Tensorboard) GetBlobStoragePathPrefix 

func (x *Tensorboard) GetBlobStoragePathPrefix() string

func (*Tensorboard) GetCreateTime 

func (x *Tensorboard) GetCreateTime() *timestamppb.Timestamp

func (*Tensorboard) GetDescription 

func (x *Tensorboard) GetDescription() string

func (*Tensorboard) GetDisplayName 

func (x *Tensorboard) GetDisplayName() string

func (*Tensorboard) GetEncryptionSpec 

func (x *Tensorboard) GetEncryptionSpec() *EncryptionSpec

func (*Tensorboard) GetEtag 

func (x *Tensorboard) GetEtag() string

func (*Tensorboard) GetLabels 

func (x *Tensorboard) GetLabels() map[string]string

func (*Tensorboard) GetName 

func (x *Tensorboard) GetName() string

func (*Tensorboard) GetRunCount 

func (x *Tensorboard) GetRunCount() int32

func (*Tensorboard) GetUpdateTime 

func (x *Tensorboard) GetUpdateTime() *timestamppb.Timestamp

func (*Tensorboard) ProtoMessage 

func (*Tensorboard) ProtoMessage()

func (*Tensorboard) ProtoReflect 

func (x *Tensorboard) ProtoReflect() protoreflect.Message

func (*Tensorboard) Reset 

func (x *Tensorboard) Reset()

func (*Tensorboard) String 

func (x *Tensorboard) String() string

type TensorboardBlob 

type TensorboardBlob struct {

	// Output only. A URI safe key uniquely identifying a blob. Can be used to locate the blob
	// stored in the Cloud Storage bucket of the consumer project.
	Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
	// Optional. The bytes of the blob is not present unless it's returned by the
	// ReadTensorboardBlobData endpoint.
	Data []byte `protobuf:"bytes,2,opt,name=data,proto3" json:"data,omitempty"`
	// contains filtered or unexported fields
}

One blob (e.g, image, graph) viewable on a blob metric plot.

func (*TensorboardBlob) Descriptor deprecated 

func (*TensorboardBlob) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardBlob.ProtoReflect.Descriptor instead.

func (*TensorboardBlob) GetData 

func (x *TensorboardBlob) GetData() []byte

func (*TensorboardBlob) GetId 

func (x *TensorboardBlob) GetId() string

func (*TensorboardBlob) ProtoMessage 

func (*TensorboardBlob) ProtoMessage()

func (*TensorboardBlob) ProtoReflect 

func (x *TensorboardBlob) ProtoReflect() protoreflect.Message

func (*TensorboardBlob) Reset 

func (x *TensorboardBlob) Reset()

func (*TensorboardBlob) String 

func (x *TensorboardBlob) String() string

type TensorboardBlobSequence 

type TensorboardBlobSequence struct {

	// List of blobs contained within the sequence.
	Values []*TensorboardBlob `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't be used directly within `oneof` fields.

func (*TensorboardBlobSequence) Descriptor deprecated 

func (*TensorboardBlobSequence) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardBlobSequence.ProtoReflect.Descriptor instead.

func (*TensorboardBlobSequence) GetValues 

func (x *TensorboardBlobSequence) GetValues() []*TensorboardBlob

func (*TensorboardBlobSequence) ProtoMessage 

func (*TensorboardBlobSequence) ProtoMessage()

func (*TensorboardBlobSequence) ProtoReflect 

func (x *TensorboardBlobSequence) ProtoReflect() protoreflect.Message

func (*TensorboardBlobSequence) Reset 

func (x *TensorboardBlobSequence) Reset()

func (*TensorboardBlobSequence) String 

func (x *TensorboardBlobSequence) String() string

type TensorboardExperiment 

type TensorboardExperiment struct {

	// Output only. Name of the TensorboardExperiment.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// User provided name of this TensorboardExperiment.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this TensorboardExperiment.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this TensorboardExperiment was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this TensorboardExperiment was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize your Datasets.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	// No more than 64 user labels can be associated with one Dataset (System
	// labels are excluded).
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	// System reserved label keys are prefixed with "aiplatform.googleapis.com/"
	// and are immutable. Following system labels exist for each Dataset:
	// * "aiplatform.googleapis.com/dataset_metadata_schema":
	//   - output only, its value is the
	//   [metadata_schema's][metadata_schema_uri] title.
	Labels map[string]string `` /* 153-byte string literal not displayed */
	// Used to perform consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Immutable. Source of the TensorboardExperiment. Example: a custom training job.
	Source string `protobuf:"bytes,8,opt,name=source,proto3" json:"source,omitempty"`
	// contains filtered or unexported fields
}

A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.

func (*TensorboardExperiment) Descriptor deprecated 

func (*TensorboardExperiment) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardExperiment.ProtoReflect.Descriptor instead.

func (*TensorboardExperiment) GetCreateTime 

func (x *TensorboardExperiment) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardExperiment) GetDescription 

func (x *TensorboardExperiment) GetDescription() string

func (*TensorboardExperiment) GetDisplayName 

func (x *TensorboardExperiment) GetDisplayName() string

func (*TensorboardExperiment) GetEtag 

func (x *TensorboardExperiment) GetEtag() string

func (*TensorboardExperiment) GetLabels 

func (x *TensorboardExperiment) GetLabels() map[string]string

func (*TensorboardExperiment) GetName 

func (x *TensorboardExperiment) GetName() string

func (*TensorboardExperiment) GetSource 

func (x *TensorboardExperiment) GetSource() string

func (*TensorboardExperiment) GetUpdateTime 

func (x *TensorboardExperiment) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardExperiment) ProtoMessage 

func (*TensorboardExperiment) ProtoMessage()

func (*TensorboardExperiment) ProtoReflect 

func (x *TensorboardExperiment) ProtoReflect() protoreflect.Message

func (*TensorboardExperiment) Reset 

func (x *TensorboardExperiment) Reset()

func (*TensorboardExperiment) String 

func (x *TensorboardExperiment) String() string

type TensorboardRun 

type TensorboardRun struct {

	// Output only. Name of the TensorboardRun.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of this TensorboardRun.
	// This value must be unique among all TensorboardRuns
	// belonging to the same parent TensorboardExperiment.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this TensorboardRun.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Output only. Timestamp when this TensorboardRun was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this TensorboardRun was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	Labels     map[string]string      `` /* 153-byte string literal not displayed */
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,9,opt,name=etag,proto3" json:"etag,omitempty"`
	// contains filtered or unexported fields
}

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc

func (*TensorboardRun) Descriptor deprecated 

func (*TensorboardRun) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardRun.ProtoReflect.Descriptor instead.

func (*TensorboardRun) GetCreateTime 

func (x *TensorboardRun) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardRun) GetDescription 

func (x *TensorboardRun) GetDescription() string

func (*TensorboardRun) GetDisplayName 

func (x *TensorboardRun) GetDisplayName() string

func (*TensorboardRun) GetEtag 

func (x *TensorboardRun) GetEtag() string

func (*TensorboardRun) GetLabels 

func (x *TensorboardRun) GetLabels() map[string]string

func (*TensorboardRun) GetName 

func (x *TensorboardRun) GetName() string

func (*TensorboardRun) GetUpdateTime 

func (x *TensorboardRun) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardRun) ProtoMessage 

func (*TensorboardRun) ProtoMessage()

func (*TensorboardRun) ProtoReflect 

func (x *TensorboardRun) ProtoReflect() protoreflect.Message

func (*TensorboardRun) Reset 

func (x *TensorboardRun) Reset()

func (*TensorboardRun) String 

func (x *TensorboardRun) String() string

type TensorboardServiceClient 

type TensorboardServiceClient interface {
	// Creates a Tensorboard.
	CreateTensorboard(ctx context.Context, in *CreateTensorboardRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a Tensorboard.
	GetTensorboard(ctx context.Context, in *GetTensorboardRequest, opts ...grpc.CallOption) (*Tensorboard, error)
	// Updates a Tensorboard.
	UpdateTensorboard(ctx context.Context, in *UpdateTensorboardRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Lists Tensorboards in a Location.
	ListTensorboards(ctx context.Context, in *ListTensorboardsRequest, opts ...grpc.CallOption) (*ListTensorboardsResponse, error)
	// Deletes a Tensorboard.
	DeleteTensorboard(ctx context.Context, in *DeleteTensorboardRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates a TensorboardExperiment.
	CreateTensorboardExperiment(ctx context.Context, in *CreateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Gets a TensorboardExperiment.
	GetTensorboardExperiment(ctx context.Context, in *GetTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Updates a TensorboardExperiment.
	UpdateTensorboardExperiment(ctx context.Context, in *UpdateTensorboardExperimentRequest, opts ...grpc.CallOption) (*TensorboardExperiment, error)
	// Lists TensorboardExperiments in a Location.
	ListTensorboardExperiments(ctx context.Context, in *ListTensorboardExperimentsRequest, opts ...grpc.CallOption) (*ListTensorboardExperimentsResponse, error)
	// Deletes a TensorboardExperiment.
	DeleteTensorboardExperiment(ctx context.Context, in *DeleteTensorboardExperimentRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates a TensorboardRun.
	CreateTensorboardRun(ctx context.Context, in *CreateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Gets a TensorboardRun.
	GetTensorboardRun(ctx context.Context, in *GetTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Updates a TensorboardRun.
	UpdateTensorboardRun(ctx context.Context, in *UpdateTensorboardRunRequest, opts ...grpc.CallOption) (*TensorboardRun, error)
	// Lists TensorboardRuns in a Location.
	ListTensorboardRuns(ctx context.Context, in *ListTensorboardRunsRequest, opts ...grpc.CallOption) (*ListTensorboardRunsResponse, error)
	// Deletes a TensorboardRun.
	DeleteTensorboardRun(ctx context.Context, in *DeleteTensorboardRunRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates a TensorboardTimeSeries.
	CreateTensorboardTimeSeries(ctx context.Context, in *CreateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Gets a TensorboardTimeSeries.
	GetTensorboardTimeSeries(ctx context.Context, in *GetTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Updates a TensorboardTimeSeries.
	UpdateTensorboardTimeSeries(ctx context.Context, in *UpdateTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*TensorboardTimeSeries, error)
	// Lists TensorboardTimeSeries in a Location.
	ListTensorboardTimeSeries(ctx context.Context, in *ListTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*ListTensorboardTimeSeriesResponse, error)
	// Deletes a TensorboardTimeSeries.
	DeleteTensorboardTimeSeries(ctx context.Context, in *DeleteTensorboardTimeSeriesRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Reads a TensorboardTimeSeries' data. Data is returned in paginated
	// responses. By default, if the number of data points stored is less than
	// 1000, all data will be returned. Otherwise, 1000 data points will be
	// randomly selected from this time series and returned. This value can be
	// changed by changing max_data_points.
	ReadTensorboardTimeSeriesData(ctx context.Context, in *ReadTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ReadTensorboardTimeSeriesDataResponse, error)
	// Gets bytes of TensorboardBlobs.
	// This is to allow reading blob data stored in consumer project's Cloud
	// Storage bucket without users having to obtain Cloud Storage access
	// permission.
	ReadTensorboardBlobData(ctx context.Context, in *ReadTensorboardBlobDataRequest, opts ...grpc.CallOption) (TensorboardService_ReadTensorboardBlobDataClient, error)
	// Write time series data points into multiple TensorboardTimeSeries under
	// a TensorboardRun. If any data fail to be ingested, an error will be
	// returned.
	WriteTensorboardRunData(ctx context.Context, in *WriteTensorboardRunDataRequest, opts ...grpc.CallOption) (*WriteTensorboardRunDataResponse, error)
	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
	// responses.
	ExportTensorboardTimeSeriesData(ctx context.Context, in *ExportTensorboardTimeSeriesDataRequest, opts ...grpc.CallOption) (*ExportTensorboardTimeSeriesDataResponse, error)
}

TensorboardServiceClient is the client API for TensorboardService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewTensorboardServiceClient 

func NewTensorboardServiceClient(cc grpc.ClientConnInterface) TensorboardServiceClient

type TensorboardServiceServer 

type TensorboardServiceServer interface {
	// Creates a Tensorboard.
	CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunning.Operation, error)
	// Gets a Tensorboard.
	GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)
	// Updates a Tensorboard.
	UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunning.Operation, error)
	// Lists Tensorboards in a Location.
	ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)
	// Deletes a Tensorboard.
	DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunning.Operation, error)
	// Creates a TensorboardExperiment.
	CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Gets a TensorboardExperiment.
	GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Updates a TensorboardExperiment.
	UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)
	// Lists TensorboardExperiments in a Location.
	ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)
	// Deletes a TensorboardExperiment.
	DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunning.Operation, error)
	// Creates a TensorboardRun.
	CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)
	// Gets a TensorboardRun.
	GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)
	// Updates a TensorboardRun.
	UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)
	// Lists TensorboardRuns in a Location.
	ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)
	// Deletes a TensorboardRun.
	DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunning.Operation, error)
	// Creates a TensorboardTimeSeries.
	CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Gets a TensorboardTimeSeries.
	GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Updates a TensorboardTimeSeries.
	UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)
	// Lists TensorboardTimeSeries in a Location.
	ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)
	// Deletes a TensorboardTimeSeries.
	DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunning.Operation, error)
	// Reads a TensorboardTimeSeries' data. Data is returned in paginated
	// responses. By default, if the number of data points stored is less than
	// 1000, all data will be returned. Otherwise, 1000 data points will be
	// randomly selected from this time series and returned. This value can be
	// changed by changing max_data_points.
	ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)
	// Gets bytes of TensorboardBlobs.
	// This is to allow reading blob data stored in consumer project's Cloud
	// Storage bucket without users having to obtain Cloud Storage access
	// permission.
	ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error
	// Write time series data points into multiple TensorboardTimeSeries under
	// a TensorboardRun. If any data fail to be ingested, an error will be
	// returned.
	WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)
	// Exports a TensorboardTimeSeries' data. Data is returned in paginated
	// responses.
	ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)
}

TensorboardServiceServer is the server API for TensorboardService service.

type TensorboardService_ReadTensorboardBlobDataClient 

type TensorboardService_ReadTensorboardBlobDataClient interface {
	Recv() (*ReadTensorboardBlobDataResponse, error)
	grpc.ClientStream
}

type TensorboardService_ReadTensorboardBlobDataServer 

type TensorboardService_ReadTensorboardBlobDataServer interface {
	Send(*ReadTensorboardBlobDataResponse) error
	grpc.ServerStream
}

type TensorboardTensor 

type TensorboardTensor struct {

	// Required. Serialized form of
	// https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/tensor.proto
	Value []byte `protobuf:"bytes,1,opt,name=value,proto3" json:"value,omitempty"`
	// Optional. Version number of TensorProto used to serialize [value][google.cloud.aiplatform.v1beta1.TensorboardTensor.value].
	VersionNumber int32 `protobuf:"varint,2,opt,name=version_number,json=versionNumber,proto3" json:"version_number,omitempty"`
	// contains filtered or unexported fields
}

One point viewable on a tensor metric plot.

func (*TensorboardTensor) Descriptor deprecated 

func (*TensorboardTensor) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTensor.ProtoReflect.Descriptor instead.

func (*TensorboardTensor) GetValue 

func (x *TensorboardTensor) GetValue() []byte

func (*TensorboardTensor) GetVersionNumber 

func (x *TensorboardTensor) GetVersionNumber() int32

func (*TensorboardTensor) ProtoMessage 

func (*TensorboardTensor) ProtoMessage()

func (*TensorboardTensor) ProtoReflect 

func (x *TensorboardTensor) ProtoReflect() protoreflect.Message

func (*TensorboardTensor) Reset 

func (x *TensorboardTensor) Reset()

func (*TensorboardTensor) String 

func (x *TensorboardTensor) String() string

type TensorboardTimeSeries 

type TensorboardTimeSeries struct {

	// Output only. Name of the TensorboardTimeSeries.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. User provided name of this TensorboardTimeSeries.
	// This value should be unique among all TensorboardTimeSeries resources
	// belonging to the same TensorboardRun resource (parent resource).
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Description of this TensorboardTimeSeries.
	Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
	// Required. Immutable. Type of TensorboardTimeSeries value.
	ValueType TensorboardTimeSeries_ValueType `` /* 158-byte string literal not displayed */
	// Output only. Timestamp when this TensorboardTimeSeries was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this TensorboardTimeSeries was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Used to perform a consistent read-modify-write updates. If not set, a blind
	// "overwrite" update happens.
	Etag string `protobuf:"bytes,7,opt,name=etag,proto3" json:"etag,omitempty"`
	// Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor,
	// Blob
	PluginName string `protobuf:"bytes,8,opt,name=plugin_name,json=pluginName,proto3" json:"plugin_name,omitempty"`
	// Data of the current plugin, with the size limited to 65KB.
	PluginData []byte `protobuf:"bytes,9,opt,name=plugin_data,json=pluginData,proto3" json:"plugin_data,omitempty"`
	// Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.
	Metadata *TensorboardTimeSeries_Metadata `protobuf:"bytes,10,opt,name=metadata,proto3" json:"metadata,omitempty"`
	// contains filtered or unexported fields
}

TensorboardTimeSeries maps to times series produced in training runs

func (*TensorboardTimeSeries) Descriptor deprecated 

func (*TensorboardTimeSeries) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries.ProtoReflect.Descriptor instead.

func (*TensorboardTimeSeries) GetCreateTime 

func (x *TensorboardTimeSeries) GetCreateTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries) GetDescription 

func (x *TensorboardTimeSeries) GetDescription() string

func (*TensorboardTimeSeries) GetDisplayName 

func (x *TensorboardTimeSeries) GetDisplayName() string

func (*TensorboardTimeSeries) GetEtag 

func (x *TensorboardTimeSeries) GetEtag() string

func (*TensorboardTimeSeries) GetMetadata 

func (x *TensorboardTimeSeries) GetMetadata() *TensorboardTimeSeries_Metadata

func (*TensorboardTimeSeries) GetName 

func (x *TensorboardTimeSeries) GetName() string

func (*TensorboardTimeSeries) GetPluginData 

func (x *TensorboardTimeSeries) GetPluginData() []byte

func (*TensorboardTimeSeries) GetPluginName 

func (x *TensorboardTimeSeries) GetPluginName() string

func (*TensorboardTimeSeries) GetUpdateTime 

func (x *TensorboardTimeSeries) GetUpdateTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries) GetValueType 

func (x *TensorboardTimeSeries) GetValueType() TensorboardTimeSeries_ValueType

func (*TensorboardTimeSeries) ProtoMessage 

func (*TensorboardTimeSeries) ProtoMessage()

func (*TensorboardTimeSeries) ProtoReflect 

func (x *TensorboardTimeSeries) ProtoReflect() protoreflect.Message

func (*TensorboardTimeSeries) Reset 

func (x *TensorboardTimeSeries) Reset()

func (*TensorboardTimeSeries) String 

func (x *TensorboardTimeSeries) String() string

type TensorboardTimeSeries_Metadata 

type TensorboardTimeSeries_Metadata struct {

	// Output only. Max step index of all data points within a TensorboardTimeSeries.
	MaxStep int64 `protobuf:"varint,1,opt,name=max_step,json=maxStep,proto3" json:"max_step,omitempty"`
	// Output only. Max wall clock timestamp of all data points within a
	// TensorboardTimeSeries.
	MaxWallTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=max_wall_time,json=maxWallTime,proto3" json:"max_wall_time,omitempty"`
	// Output only. The largest blob sequence length (number of blobs) of all data points in
	// this time series, if its ValueType is BLOB_SEQUENCE.
	MaxBlobSequenceLength int64 `` /* 129-byte string literal not displayed */
	// contains filtered or unexported fields
}

Describes metadata for a TensorboardTimeSeries.

func (*TensorboardTimeSeries_Metadata) Descriptor deprecated 

func (*TensorboardTimeSeries_Metadata) Descriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries_Metadata.ProtoReflect.Descriptor instead.

func (*TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength 

func (x *TensorboardTimeSeries_Metadata) GetMaxBlobSequenceLength() int64

func (*TensorboardTimeSeries_Metadata) GetMaxStep 

func (x *TensorboardTimeSeries_Metadata) GetMaxStep() int64

func (*TensorboardTimeSeries_Metadata) GetMaxWallTime 

func (x *TensorboardTimeSeries_Metadata) GetMaxWallTime() *timestamppb.Timestamp

func (*TensorboardTimeSeries_Metadata) ProtoMessage 

func (*TensorboardTimeSeries_Metadata) ProtoMessage()

func (*TensorboardTimeSeries_Metadata) ProtoReflect 

func (x *TensorboardTimeSeries_Metadata) ProtoReflect() protoreflect.Message

func (*TensorboardTimeSeries_Metadata) Reset 

func (x *TensorboardTimeSeries_Metadata) Reset()

func (*TensorboardTimeSeries_Metadata) String 

func (x *TensorboardTimeSeries_Metadata) String() string

type TensorboardTimeSeries_ValueType 

type TensorboardTimeSeries_ValueType int32

An enum representing the value type of a TensorboardTimeSeries. 

const (
	// The value type is unspecified.
	TensorboardTimeSeries_VALUE_TYPE_UNSPECIFIED TensorboardTimeSeries_ValueType = 0
	// Used for TensorboardTimeSeries that is a list of scalars.
	// E.g. accuracy of a model over epochs/time.
	TensorboardTimeSeries_SCALAR TensorboardTimeSeries_ValueType = 1
	// Used for TensorboardTimeSeries that is a list of tensors.
	// E.g. histograms of weights of layer in a model over epoch/time.
	TensorboardTimeSeries_TENSOR TensorboardTimeSeries_ValueType = 2
	// Used for TensorboardTimeSeries that is a list of blob sequences.
	// E.g. set of sample images with labels over epochs/time.
	TensorboardTimeSeries_BLOB_SEQUENCE TensorboardTimeSeries_ValueType = 3
)

func (TensorboardTimeSeries_ValueType) Descriptor 

func (TensorboardTimeSeries_ValueType) Descriptor() protoreflect.EnumDescriptor

func (TensorboardTimeSeries_ValueType) Enum 

func (x TensorboardTimeSeries_ValueType) Enum() *TensorboardTimeSeries_ValueType

func (TensorboardTimeSeries_ValueType) EnumDescriptor deprecated 

func (TensorboardTimeSeries_ValueType) EnumDescriptor() ([]byte, []int)

Deprecated: Use TensorboardTimeSeries_ValueType.Descriptor instead.

func (TensorboardTimeSeries_ValueType) Number 

func (x TensorboardTimeSeries_ValueType) Number() protoreflect.EnumNumber

func (TensorboardTimeSeries_ValueType) String 

func (x TensorboardTimeSeries_ValueType) String() string

func (TensorboardTimeSeries_ValueType) Type 

func (TensorboardTimeSeries_ValueType) Type() protoreflect.EnumType

type ThresholdConfig 

type ThresholdConfig struct {

	// Types that are assignable to Threshold:
	//	*ThresholdConfig_Value
	Threshold isThresholdConfig_Threshold `protobuf_oneof:"threshold"`
	// contains filtered or unexported fields
}

The config for feature monitoring threshold. Next ID: 3

func (*ThresholdConfig) Descriptor deprecated 

func (*ThresholdConfig) Descriptor() ([]byte, []int)

Deprecated: Use ThresholdConfig.ProtoReflect.Descriptor instead.

func (*ThresholdConfig) GetThreshold 

func (m *ThresholdConfig) GetThreshold() isThresholdConfig_Threshold

func (*ThresholdConfig) GetValue 

func (x *ThresholdConfig) GetValue() float64

func (*ThresholdConfig) ProtoMessage 

func (*ThresholdConfig) ProtoMessage()

func (*ThresholdConfig) ProtoReflect 

func (x *ThresholdConfig) ProtoReflect() protoreflect.Message

func (*ThresholdConfig) Reset 

func (x *ThresholdConfig) Reset()

func (*ThresholdConfig) String 

func (x *ThresholdConfig) String() string

type ThresholdConfig_Value 

type ThresholdConfig_Value struct {
	// Specify a threshold value that can trigger the alert.
	// If this threshold config is for feature distribution distance:
	//   1. For categorical feature, the distribution distance is calculated by
	//      L-inifinity norm.
	//   2. For numerical feature, the distribution distance is calculated by
	//      Jensen–Shannon divergence.
	// Each feature must have a non-zero threshold if they need to be monitored.
	// Otherwise no alert will be triggered for that feature.
	Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"`
}

type TimeSeriesData 

type TimeSeriesData struct {

	// Required. The ID of the TensorboardTimeSeries, which will become the final component
	// of the TensorboardTimeSeries' resource name
	TensorboardTimeSeriesId string `` /* 134-byte string literal not displayed */
	// Required. Immutable. The value type of this time series. All the values in this time series data
	// must match this value type.
	ValueType TensorboardTimeSeries_ValueType `` /* 158-byte string literal not displayed */
	// Required. Data points in this time series.
	Values []*TimeSeriesDataPoint `protobuf:"bytes,3,rep,name=values,proto3" json:"values,omitempty"`
	// contains filtered or unexported fields
}

All the data stored in a TensorboardTimeSeries.

func (*TimeSeriesData) Descriptor deprecated 

func (*TimeSeriesData) Descriptor() ([]byte, []int)

Deprecated: Use TimeSeriesData.ProtoReflect.Descriptor instead.

func (*TimeSeriesData) GetTensorboardTimeSeriesId 

func (x *TimeSeriesData) GetTensorboardTimeSeriesId() string

func (*TimeSeriesData) GetValueType 

func (x *TimeSeriesData) GetValueType() TensorboardTimeSeries_ValueType

func (*TimeSeriesData) GetValues 

func (x *TimeSeriesData) GetValues() []*TimeSeriesDataPoint

func (*TimeSeriesData) ProtoMessage 

func (*TimeSeriesData) ProtoMessage()

func (*TimeSeriesData) ProtoReflect 

func (x *TimeSeriesData) ProtoReflect() protoreflect.Message

func (*TimeSeriesData) Reset 

func (x *TimeSeriesData) Reset()

func (*TimeSeriesData) String 

func (x *TimeSeriesData) String() string

type TimeSeriesDataPoint 

type TimeSeriesDataPoint struct {

	// Value of this time series data point.
	//
	// Types that are assignable to Value:
	//	*TimeSeriesDataPoint_Scalar
	//	*TimeSeriesDataPoint_Tensor
	//	*TimeSeriesDataPoint_Blobs
	Value isTimeSeriesDataPoint_Value `protobuf_oneof:"value"`
	// Wall clock timestamp when this data point is generated by the end user.
	WallTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=wall_time,json=wallTime,proto3" json:"wall_time,omitempty"`
	// Step index of this data point within the run.
	Step int64 `protobuf:"varint,2,opt,name=step,proto3" json:"step,omitempty"`
	// contains filtered or unexported fields
}

A TensorboardTimeSeries data point.

func (*TimeSeriesDataPoint) Descriptor deprecated 

func (*TimeSeriesDataPoint) Descriptor() ([]byte, []int)

Deprecated: Use TimeSeriesDataPoint.ProtoReflect.Descriptor instead.

func (*TimeSeriesDataPoint) GetBlobs 

func (x *TimeSeriesDataPoint) GetBlobs() *TensorboardBlobSequence

func (*TimeSeriesDataPoint) GetScalar 

func (x *TimeSeriesDataPoint) GetScalar() *Scalar

func (*TimeSeriesDataPoint) GetStep 

func (x *TimeSeriesDataPoint) GetStep() int64

func (*TimeSeriesDataPoint) GetTensor 

func (x *TimeSeriesDataPoint) GetTensor() *TensorboardTensor

func (*TimeSeriesDataPoint) GetValue 

func (m *TimeSeriesDataPoint) GetValue() isTimeSeriesDataPoint_Value

func (*TimeSeriesDataPoint) GetWallTime 

func (x *TimeSeriesDataPoint) GetWallTime() *timestamppb.Timestamp

func (*TimeSeriesDataPoint) ProtoMessage 

func (*TimeSeriesDataPoint) ProtoMessage()

func (*TimeSeriesDataPoint) ProtoReflect 

func (x *TimeSeriesDataPoint) ProtoReflect() protoreflect.Message

func (*TimeSeriesDataPoint) Reset 

func (x *TimeSeriesDataPoint) Reset()

func (*TimeSeriesDataPoint) String 

func (x *TimeSeriesDataPoint) String() string

type TimeSeriesDataPoint_Blobs 

type TimeSeriesDataPoint_Blobs struct {
	// A blob sequence value.
	Blobs *TensorboardBlobSequence `protobuf:"bytes,5,opt,name=blobs,proto3,oneof"`
}

type TimeSeriesDataPoint_Scalar 

type TimeSeriesDataPoint_Scalar struct {
	// A scalar value.
	Scalar *Scalar `protobuf:"bytes,3,opt,name=scalar,proto3,oneof"`
}

type TimeSeriesDataPoint_Tensor 

type TimeSeriesDataPoint_Tensor struct {
	// A tensor value.
	Tensor *TensorboardTensor `protobuf:"bytes,4,opt,name=tensor,proto3,oneof"`
}

type TimestampSplit 

type TimestampSplit struct {

	// The fraction of the input data that is to be used to train the Model.
	TrainingFraction float64 `protobuf:"fixed64,1,opt,name=training_fraction,json=trainingFraction,proto3" json:"training_fraction,omitempty"`
	// The fraction of the input data that is to be used to validate the Model.
	ValidationFraction float64 `protobuf:"fixed64,2,opt,name=validation_fraction,json=validationFraction,proto3" json:"validation_fraction,omitempty"`
	// The fraction of the input data that is to be used to evaluate the Model.
	TestFraction float64 `protobuf:"fixed64,3,opt,name=test_fraction,json=testFraction,proto3" json:"test_fraction,omitempty"`
	// Required. The key is a name of one of the Dataset's data columns.
	// The values of the key (the values in the column) must be in RFC 3339
	// `date-time` format, where `time-offset` = `"Z"`
	// (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not
	// present or has an invalid value, that piece is ignored by the pipeline.
	Key string `protobuf:"bytes,4,opt,name=key,proto3" json:"key,omitempty"`
	// contains filtered or unexported fields
}

Assigns input data to training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set.

Supported only for tabular Datasets.

func (*TimestampSplit) Descriptor deprecated 

func (*TimestampSplit) Descriptor() ([]byte, []int)

Deprecated: Use TimestampSplit.ProtoReflect.Descriptor instead.

func (*TimestampSplit) GetKey 

func (x *TimestampSplit) GetKey() string

func (*TimestampSplit) GetTestFraction 

func (x *TimestampSplit) GetTestFraction() float64

func (*TimestampSplit) GetTrainingFraction 

func (x *TimestampSplit) GetTrainingFraction() float64

func (*TimestampSplit) GetValidationFraction 

func (x *TimestampSplit) GetValidationFraction() float64

func (*TimestampSplit) ProtoMessage 

func (*TimestampSplit) ProtoMessage()

func (*TimestampSplit) ProtoReflect 

func (x *TimestampSplit) ProtoReflect() protoreflect.Message

func (*TimestampSplit) Reset 

func (x *TimestampSplit) Reset()

func (*TimestampSplit) String 

func (x *TimestampSplit) String() string

type TrainingConfig 

type TrainingConfig struct {

	// The timeout hours for the CMLE training job, expressed in milli hours
	// i.e. 1,000 value in this field means 1 hour.
	TimeoutTrainingMilliHours int64 `` /* 141-byte string literal not displayed */
	// contains filtered or unexported fields
}

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

func (*TrainingConfig) Descriptor deprecated 

func (*TrainingConfig) Descriptor() ([]byte, []int)

Deprecated: Use TrainingConfig.ProtoReflect.Descriptor instead.

func (*TrainingConfig) GetTimeoutTrainingMilliHours 

func (x *TrainingConfig) GetTimeoutTrainingMilliHours() int64

func (*TrainingConfig) ProtoMessage 

func (*TrainingConfig) ProtoMessage()

func (*TrainingConfig) ProtoReflect 

func (x *TrainingConfig) ProtoReflect() protoreflect.Message

func (*TrainingConfig) Reset 

func (x *TrainingConfig) Reset()

func (*TrainingConfig) String 

func (x *TrainingConfig) String() string

type TrainingPipeline 

type TrainingPipeline struct {

	// Output only. Resource name of the TrainingPipeline.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The user-defined name of this TrainingPipeline.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Specifies Vertex AI owned input data that may be used for training the
	// Model. The TrainingPipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make
	// clear whether this config is used and if there are any special requirements
	// on how it should be filled. If nothing about this config is mentioned in
	// the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that the
	// TrainingPipeline does not depend on this configuration.
	InputDataConfig *InputDataConfig `protobuf:"bytes,3,opt,name=input_data_config,json=inputDataConfig,proto3" json:"input_data_config,omitempty"`
	// Required. A Google Cloud Storage path to the YAML file that defines the training task
	// which is responsible for producing the model artifact, and may also include
	// additional auxiliary work.
	// The definition files that can be used here are found in
	// gs://google-cloud-aiplatform/schema/trainingjob/definition/.
	// Note: The URI given on output will be immutable and probably different,
	// including the URI scheme, than the one given on input. The output URI will
	// point to a location where the user only has a read access.
	TrainingTaskDefinition string `` /* 129-byte string literal not displayed */
	// Required. The training task's parameter(s), as specified in the
	// [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s `inputs`.
	TrainingTaskInputs *structpb.Value `protobuf:"bytes,5,opt,name=training_task_inputs,json=trainingTaskInputs,proto3" json:"training_task_inputs,omitempty"`
	// Output only. The metadata information as specified in the [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
	// `metadata`. This metadata is an auxiliary runtime and final information
	// about the training task. While the pipeline is running this information is
	// populated only at a best effort basis. Only present if the
	// pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
	TrainingTaskMetadata *structpb.Value `protobuf:"bytes,6,opt,name=training_task_metadata,json=trainingTaskMetadata,proto3" json:"training_task_metadata,omitempty"`
	// Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
	// by this TrainingPipeline. The TrainingPipeline's
	// [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
	// description should be populated, and if there are any special requirements
	// regarding how it should be filled. If nothing is mentioned in the
	// [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition], then it should be assumed that this field
	// should not be filled and the training task either uploads the Model without
	// a need of this information, or that training task does not support
	// uploading a Model as part of the pipeline.
	// When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
	// the trained Model had been uploaded into Vertex AI, then the
	// model_to_upload's resource [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
	// is always uploaded into the Project and Location in which this pipeline
	// is.
	ModelToUpload *Model `protobuf:"bytes,7,opt,name=model_to_upload,json=modelToUpload,proto3" json:"model_to_upload,omitempty"`
	// Output only. The detailed state of the pipeline.
	State PipelineState `protobuf:"varint,9,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.PipelineState" json:"state,omitempty"`
	// Output only. Only populated when the pipeline's state is `PIPELINE_STATE_FAILED` or
	// `PIPELINE_STATE_CANCELLED`.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. Time when the TrainingPipeline was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,11,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the TrainingPipeline for the first time entered the
	// `PIPELINE_STATE_RUNNING` state.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,12,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the TrainingPipeline entered any of the following states:
	// `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
	// `PIPELINE_STATE_CANCELLED`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,13,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Time when the TrainingPipeline was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// The labels with user-defined metadata to organize TrainingPipelines.
	//
	// Label keys and values can be no longer than 64 characters
	// (Unicode codepoints), can only contain lowercase letters, numeric
	// characters, underscores and dashes. International characters are allowed.
	//
	// See https://goo.gl/xmQnxf for more information and examples of labels.
	Labels map[string]string `` /* 154-byte string literal not displayed */
	// Customer-managed encryption key spec for a TrainingPipeline. If set, this
	// TrainingPipeline will be secured by this key.
	//
	// Note: Model trained by this TrainingPipeline is also secured by this key if
	// [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
	EncryptionSpec *EncryptionSpec `protobuf:"bytes,18,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// contains filtered or unexported fields
}

The TrainingPipeline orchestrates tasks associated with training a Model. It always executes the training task, and optionally may also export data from Vertex AI's Dataset which becomes the training input, [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model to Vertex AI, and evaluate the Model.

func (*TrainingPipeline) Descriptor deprecated 

func (*TrainingPipeline) Descriptor() ([]byte, []int)

Deprecated: Use TrainingPipeline.ProtoReflect.Descriptor instead.

func (*TrainingPipeline) GetCreateTime 

func (x *TrainingPipeline) GetCreateTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetDisplayName 

func (x *TrainingPipeline) GetDisplayName() string

func (*TrainingPipeline) GetEncryptionSpec 

func (x *TrainingPipeline) GetEncryptionSpec() *EncryptionSpec

func (*TrainingPipeline) GetEndTime 

func (x *TrainingPipeline) GetEndTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetError 

func (x *TrainingPipeline) GetError() *status.Status

func (*TrainingPipeline) GetInputDataConfig 

func (x *TrainingPipeline) GetInputDataConfig() *InputDataConfig

func (*TrainingPipeline) GetLabels 

func (x *TrainingPipeline) GetLabels() map[string]string

func (*TrainingPipeline) GetModelToUpload 

func (x *TrainingPipeline) GetModelToUpload() *Model

func (*TrainingPipeline) GetName 

func (x *TrainingPipeline) GetName() string

func (*TrainingPipeline) GetStartTime 

func (x *TrainingPipeline) GetStartTime() *timestamppb.Timestamp

func (*TrainingPipeline) GetState 

func (x *TrainingPipeline) GetState() PipelineState

func (*TrainingPipeline) GetTrainingTaskDefinition 

func (x *TrainingPipeline) GetTrainingTaskDefinition() string

func (*TrainingPipeline) GetTrainingTaskInputs 

func (x *TrainingPipeline) GetTrainingTaskInputs() *structpb.Value

func (*TrainingPipeline) GetTrainingTaskMetadata 

func (x *TrainingPipeline) GetTrainingTaskMetadata() *structpb.Value

func (*TrainingPipeline) GetUpdateTime 

func (x *TrainingPipeline) GetUpdateTime() *timestamppb.Timestamp

func (*TrainingPipeline) ProtoMessage 

func (*TrainingPipeline) ProtoMessage()

func (*TrainingPipeline) ProtoReflect 

func (x *TrainingPipeline) ProtoReflect() protoreflect.Message

func (*TrainingPipeline) Reset 

func (x *TrainingPipeline) Reset()

func (*TrainingPipeline) String 

func (x *TrainingPipeline) String() string

type Trial 

type Trial struct {

	// Output only. Resource name of the Trial assigned by the service.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. The identifier of the Trial assigned by the service.
	Id string `protobuf:"bytes,2,opt,name=id,proto3" json:"id,omitempty"`
	// Output only. The detailed state of the Trial.
	State Trial_State `protobuf:"varint,3,opt,name=state,proto3,enum=google.cloud.aiplatform.v1beta1.Trial_State" json:"state,omitempty"`
	// Output only. The parameters of the Trial.
	Parameters []*Trial_Parameter `protobuf:"bytes,4,rep,name=parameters,proto3" json:"parameters,omitempty"`
	// Output only. The final measurement containing the objective value.
	FinalMeasurement *Measurement `protobuf:"bytes,5,opt,name=final_measurement,json=finalMeasurement,proto3" json:"final_measurement,omitempty"`
	// Output only. A list of measurements that are strictly lexicographically
	// ordered by their induced tuples (steps, elapsed_duration).
	// These are used for early stopping computations.
	Measurements []*Measurement `protobuf:"bytes,6,rep,name=measurements,proto3" json:"measurements,omitempty"`
	// Output only. Time when the Trial was started.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Time when the Trial's status changed to `SUCCEEDED` or `INFEASIBLE`.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. The identifier of the client that originally requested this Trial.
	// Each client is identified by a unique client_id. When a client
	// asks for a suggestion, Vizier will assign it a Trial. The client should
	// evaluate the Trial, complete it, and report back to Vizier.
	// If suggestion is asked again by same client_id before the Trial is
	// completed, the same Trial will be returned. Multiple clients with
	// different client_ids can ask for suggestions simultaneously, each of them
	// will get their own Trial.
	ClientId string `protobuf:"bytes,9,opt,name=client_id,json=clientId,proto3" json:"client_id,omitempty"`
	// Output only. A human readable string describing why the Trial is
	// infeasible. This is set only if Trial state is `INFEASIBLE`.
	InfeasibleReason string `protobuf:"bytes,10,opt,name=infeasible_reason,json=infeasibleReason,proto3" json:"infeasible_reason,omitempty"`
	// Output only. The CustomJob name linked to the Trial.
	// It's set for a HyperparameterTuningJob's Trial.
	CustomJob string `protobuf:"bytes,11,opt,name=custom_job,json=customJob,proto3" json:"custom_job,omitempty"`
	// contains filtered or unexported fields
}

A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.

func (*Trial) Descriptor deprecated 

func (*Trial) Descriptor() ([]byte, []int)

Deprecated: Use Trial.ProtoReflect.Descriptor instead.

func (*Trial) GetClientId 

func (x *Trial) GetClientId() string

func (*Trial) GetCustomJob 

func (x *Trial) GetCustomJob() string

func (*Trial) GetEndTime 

func (x *Trial) GetEndTime() *timestamppb.Timestamp

func (*Trial) GetFinalMeasurement 

func (x *Trial) GetFinalMeasurement() *Measurement

func (*Trial) GetId 

func (x *Trial) GetId() string

func (*Trial) GetInfeasibleReason 

func (x *Trial) GetInfeasibleReason() string

func (*Trial) GetMeasurements 

func (x *Trial) GetMeasurements() []*Measurement

func (*Trial) GetName 

func (x *Trial) GetName() string

func (*Trial) GetParameters 

func (x *Trial) GetParameters() []*Trial_Parameter

func (*Trial) GetStartTime 

func (x *Trial) GetStartTime() *timestamppb.Timestamp

func (*Trial) GetState 

func (x *Trial) GetState() Trial_State

func (*Trial) ProtoMessage 

func (*Trial) ProtoMessage()

func (*Trial) ProtoReflect 

func (x *Trial) ProtoReflect() protoreflect.Message

func (*Trial) Reset 

func (x *Trial) Reset()

func (*Trial) String 

func (x *Trial) String() string

type Trial_Parameter 

type Trial_Parameter struct {

	// Output only. The ID of the parameter. The parameter should be defined in
	// [StudySpec's Parameters][google.cloud.aiplatform.v1beta1.StudySpec.parameters].
	ParameterId string `protobuf:"bytes,1,opt,name=parameter_id,json=parameterId,proto3" json:"parameter_id,omitempty"`
	// Output only. The value of the parameter.
	// `number_value` will be set if a parameter defined in StudySpec is
	// in type 'INTEGER', 'DOUBLE' or 'DISCRETE'.
	// `string_value` will be set if a parameter defined in StudySpec is
	// in type 'CATEGORICAL'.
	Value *structpb.Value `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"`
	// contains filtered or unexported fields
}

A message representing a parameter to be tuned.

func (*Trial_Parameter) Descriptor deprecated 

func (*Trial_Parameter) Descriptor() ([]byte, []int)

Deprecated: Use Trial_Parameter.ProtoReflect.Descriptor instead.

func (*Trial_Parameter) GetParameterId 

func (x *Trial_Parameter) GetParameterId() string

func (*Trial_Parameter) GetValue 

func (x *Trial_Parameter) GetValue() *structpb.Value

func (*Trial_Parameter) ProtoMessage 

func (*Trial_Parameter) ProtoMessage()

func (*Trial_Parameter) ProtoReflect 

func (x *Trial_Parameter) ProtoReflect() protoreflect.Message

func (*Trial_Parameter) Reset 

func (x *Trial_Parameter) Reset()

func (*Trial_Parameter) String 

func (x *Trial_Parameter) String() string

type Trial_State 

type Trial_State int32

Describes a Trial state. 

const (
	// The Trial state is unspecified.
	Trial_STATE_UNSPECIFIED Trial_State = 0
	// Indicates that a specific Trial has been requested, but it has not yet
	// been suggested by the service.
	Trial_REQUESTED Trial_State = 1
	// Indicates that the Trial has been suggested.
	Trial_ACTIVE Trial_State = 2
	// Indicates that the Trial should stop according to the service.
	Trial_STOPPING Trial_State = 3
	// Indicates that the Trial is completed successfully.
	Trial_SUCCEEDED Trial_State = 4
	// Indicates that the Trial should not be attempted again.
	// The service will set a Trial to INFEASIBLE when it's done but missing
	// the final_measurement.
	Trial_INFEASIBLE Trial_State = 5
)

func (Trial_State) Descriptor 

func (Trial_State) Descriptor() protoreflect.EnumDescriptor

func (Trial_State) Enum 

func (x Trial_State) Enum() *Trial_State

func (Trial_State) EnumDescriptor deprecated 

func (Trial_State) EnumDescriptor() ([]byte, []int)

Deprecated: Use Trial_State.Descriptor instead.

func (Trial_State) Number 

func (x Trial_State) Number() protoreflect.EnumNumber

func (Trial_State) String 

func (x Trial_State) String() string

func (Trial_State) Type 

func (Trial_State) Type() protoreflect.EnumType

type UndeployIndexOperationMetadata 

type UndeployIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexOperationMetadata) Descriptor deprecated 

func (*UndeployIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*UndeployIndexOperationMetadata) GetGenericMetadata 

func (x *UndeployIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UndeployIndexOperationMetadata) ProtoMessage 

func (*UndeployIndexOperationMetadata) ProtoMessage()

func (*UndeployIndexOperationMetadata) ProtoReflect 

func (x *UndeployIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*UndeployIndexOperationMetadata) Reset 

func (x *UndeployIndexOperationMetadata) Reset()

func (*UndeployIndexOperationMetadata) String 

func (x *UndeployIndexOperationMetadata) String() string

type UndeployIndexRequest 

type UndeployIndexRequest struct {

	// Required. The name of the IndexEndpoint resource from which to undeploy an Index.
	// Format:
	// `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}`
	IndexEndpoint string `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint.
	DeployedIndexId string `protobuf:"bytes,2,opt,name=deployed_index_id,json=deployedIndexId,proto3" json:"deployed_index_id,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexRequest) Descriptor deprecated 

func (*UndeployIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexRequest.ProtoReflect.Descriptor instead.

func (*UndeployIndexRequest) GetDeployedIndexId 

func (x *UndeployIndexRequest) GetDeployedIndexId() string

func (*UndeployIndexRequest) GetIndexEndpoint 

func (x *UndeployIndexRequest) GetIndexEndpoint() string

func (*UndeployIndexRequest) ProtoMessage 

func (*UndeployIndexRequest) ProtoMessage()

func (*UndeployIndexRequest) ProtoReflect 

func (x *UndeployIndexRequest) ProtoReflect() protoreflect.Message

func (*UndeployIndexRequest) Reset 

func (x *UndeployIndexRequest) Reset()

func (*UndeployIndexRequest) String 

func (x *UndeployIndexRequest) String() string

type UndeployIndexResponse 

type UndeployIndexResponse struct {
	// contains filtered or unexported fields
}

Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].

func (*UndeployIndexResponse) Descriptor deprecated 

func (*UndeployIndexResponse) Descriptor() ([]byte, []int)

Deprecated: Use UndeployIndexResponse.ProtoReflect.Descriptor instead.

func (*UndeployIndexResponse) ProtoMessage 

func (*UndeployIndexResponse) ProtoMessage()

func (*UndeployIndexResponse) ProtoReflect 

func (x *UndeployIndexResponse) ProtoReflect() protoreflect.Message

func (*UndeployIndexResponse) Reset 

func (x *UndeployIndexResponse) Reset()

func (*UndeployIndexResponse) String 

func (x *UndeployIndexResponse) String() string

type UndeployModelOperationMetadata 

type UndeployModelOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].

func (*UndeployModelOperationMetadata) Descriptor deprecated 

func (*UndeployModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*UndeployModelOperationMetadata) GetGenericMetadata 

func (x *UndeployModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UndeployModelOperationMetadata) ProtoMessage 

func (*UndeployModelOperationMetadata) ProtoMessage()

func (*UndeployModelOperationMetadata) ProtoReflect 

func (x *UndeployModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*UndeployModelOperationMetadata) Reset 

func (x *UndeployModelOperationMetadata) Reset()

func (*UndeployModelOperationMetadata) String 

func (x *UndeployModelOperationMetadata) String() string

type UndeployModelRequest 

type UndeployModelRequest struct {

	// Required. The name of the Endpoint resource from which to undeploy a Model.
	// Format:
	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
	Endpoint string `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The ID of the DeployedModel to be undeployed from the Endpoint.
	DeployedModelId string `protobuf:"bytes,2,opt,name=deployed_model_id,json=deployedModelId,proto3" json:"deployed_model_id,omitempty"`
	// If this field is provided, then the Endpoint's
	// [traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split] will be overwritten with it. If
	// last DeployedModel is being undeployed from the Endpoint, the
	// [Endpoint.traffic_split] will always end up empty when this call returns.
	// A DeployedModel will be successfully undeployed only if it doesn't have
	// any traffic assigned to it when this method executes, or if this field
	// unassigns any traffic to it.
	TrafficSplit map[string]int32 `` /* 186-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].

func (*UndeployModelRequest) Descriptor deprecated 

func (*UndeployModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelRequest.ProtoReflect.Descriptor instead.

func (*UndeployModelRequest) GetDeployedModelId 

func (x *UndeployModelRequest) GetDeployedModelId() string

func (*UndeployModelRequest) GetEndpoint 

func (x *UndeployModelRequest) GetEndpoint() string

func (*UndeployModelRequest) GetTrafficSplit 

func (x *UndeployModelRequest) GetTrafficSplit() map[string]int32

func (*UndeployModelRequest) ProtoMessage 

func (*UndeployModelRequest) ProtoMessage()

func (*UndeployModelRequest) ProtoReflect 

func (x *UndeployModelRequest) ProtoReflect() protoreflect.Message

func (*UndeployModelRequest) Reset 

func (x *UndeployModelRequest) Reset()

func (*UndeployModelRequest) String 

func (x *UndeployModelRequest) String() string

type UndeployModelResponse 

type UndeployModelResponse struct {
	// contains filtered or unexported fields
}

Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].

func (*UndeployModelResponse) Descriptor deprecated 

func (*UndeployModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use UndeployModelResponse.ProtoReflect.Descriptor instead.

func (*UndeployModelResponse) ProtoMessage 

func (*UndeployModelResponse) ProtoMessage()

func (*UndeployModelResponse) ProtoReflect 

func (x *UndeployModelResponse) ProtoReflect() protoreflect.Message

func (*UndeployModelResponse) Reset 

func (x *UndeployModelResponse) Reset()

func (*UndeployModelResponse) String 

func (x *UndeployModelResponse) String() string

type UnimplementedDatasetServiceServer 

type UnimplementedDatasetServiceServer struct {
}

UnimplementedDatasetServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedDatasetServiceServer) CreateDataset 

func (*UnimplementedDatasetServiceServer) CreateDataset(context.Context, *CreateDatasetRequest) (*longrunning.Operation, error)

func (*UnimplementedDatasetServiceServer) DeleteDataset 

func (*UnimplementedDatasetServiceServer) DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunning.Operation, error)

func (*UnimplementedDatasetServiceServer) ExportData 

func (*UnimplementedDatasetServiceServer) ExportData(context.Context, *ExportDataRequest) (*longrunning.Operation, error)

func (*UnimplementedDatasetServiceServer) GetAnnotationSpec 

func (*UnimplementedDatasetServiceServer) GetAnnotationSpec(context.Context, *GetAnnotationSpecRequest) (*AnnotationSpec, error)

func (*UnimplementedDatasetServiceServer) GetDataset 

func (*UnimplementedDatasetServiceServer) GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)

func (*UnimplementedDatasetServiceServer) ImportData 

func (*UnimplementedDatasetServiceServer) ImportData(context.Context, *ImportDataRequest) (*longrunning.Operation, error)

func (*UnimplementedDatasetServiceServer) ListAnnotations 

func (*UnimplementedDatasetServiceServer) ListAnnotations(context.Context, *ListAnnotationsRequest) (*ListAnnotationsResponse, error)

func (*UnimplementedDatasetServiceServer) ListDataItems 

func (*UnimplementedDatasetServiceServer) ListDataItems(context.Context, *ListDataItemsRequest) (*ListDataItemsResponse, error)

func (*UnimplementedDatasetServiceServer) ListDatasets 

func (*UnimplementedDatasetServiceServer) ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)

func (*UnimplementedDatasetServiceServer) UpdateDataset 

func (*UnimplementedDatasetServiceServer) UpdateDataset(context.Context, *UpdateDatasetRequest) (*Dataset, error)

type UnimplementedEndpointServiceServer 

type UnimplementedEndpointServiceServer struct {
}

UnimplementedEndpointServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedEndpointServiceServer) CreateEndpoint 

func (*UnimplementedEndpointServiceServer) CreateEndpoint(context.Context, *CreateEndpointRequest) (*longrunning.Operation, error)

func (*UnimplementedEndpointServiceServer) DeleteEndpoint 

func (*UnimplementedEndpointServiceServer) DeleteEndpoint(context.Context, *DeleteEndpointRequest) (*longrunning.Operation, error)

func (*UnimplementedEndpointServiceServer) DeployModel 

func (*UnimplementedEndpointServiceServer) DeployModel(context.Context, *DeployModelRequest) (*longrunning.Operation, error)

func (*UnimplementedEndpointServiceServer) GetEndpoint 

func (*UnimplementedEndpointServiceServer) GetEndpoint(context.Context, *GetEndpointRequest) (*Endpoint, error)

func (*UnimplementedEndpointServiceServer) ListEndpoints 

func (*UnimplementedEndpointServiceServer) ListEndpoints(context.Context, *ListEndpointsRequest) (*ListEndpointsResponse, error)

func (*UnimplementedEndpointServiceServer) UndeployModel 

func (*UnimplementedEndpointServiceServer) UndeployModel(context.Context, *UndeployModelRequest) (*longrunning.Operation, error)

func (*UnimplementedEndpointServiceServer) UpdateEndpoint 

func (*UnimplementedEndpointServiceServer) UpdateEndpoint(context.Context, *UpdateEndpointRequest) (*Endpoint, error)

type UnimplementedFeaturestoreOnlineServingServiceServer 

type UnimplementedFeaturestoreOnlineServingServiceServer struct {
}

UnimplementedFeaturestoreOnlineServingServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues 

func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)

func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues 

func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error

type UnimplementedFeaturestoreServiceServer 

type UnimplementedFeaturestoreServiceServer struct {
}

UnimplementedFeaturestoreServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures 

func (*UnimplementedFeaturestoreServiceServer) BatchCreateFeatures(context.Context, *BatchCreateFeaturesRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues 

func (*UnimplementedFeaturestoreServiceServer) BatchReadFeatureValues(context.Context, *BatchReadFeatureValuesRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateEntityType 

func (*UnimplementedFeaturestoreServiceServer) CreateEntityType(context.Context, *CreateEntityTypeRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateFeature 

func (*UnimplementedFeaturestoreServiceServer) CreateFeature(context.Context, *CreateFeatureRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) CreateFeaturestore(context.Context, *CreateFeaturestoreRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType 

func (*UnimplementedFeaturestoreServiceServer) DeleteEntityType(context.Context, *DeleteEntityTypeRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeature 

func (*UnimplementedFeaturestoreServiceServer) DeleteFeature(context.Context, *DeleteFeatureRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) DeleteFeaturestore(context.Context, *DeleteFeaturestoreRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues 

func (*UnimplementedFeaturestoreServiceServer) ExportFeatureValues(context.Context, *ExportFeatureValuesRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) GetEntityType 

func (*UnimplementedFeaturestoreServiceServer) GetEntityType(context.Context, *GetEntityTypeRequest) (*EntityType, error)

func (*UnimplementedFeaturestoreServiceServer) GetFeature 

func (*UnimplementedFeaturestoreServiceServer) GetFeature(context.Context, *GetFeatureRequest) (*Feature, error)

func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) GetFeaturestore(context.Context, *GetFeaturestoreRequest) (*Featurestore, error)

func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues 

func (*UnimplementedFeaturestoreServiceServer) ImportFeatureValues(context.Context, *ImportFeatureValuesRequest) (*longrunning.Operation, error)

func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes 

func (*UnimplementedFeaturestoreServiceServer) ListEntityTypes(context.Context, *ListEntityTypesRequest) (*ListEntityTypesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) ListFeatures 

func (*UnimplementedFeaturestoreServiceServer) ListFeatures(context.Context, *ListFeaturesRequest) (*ListFeaturesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores 

func (*UnimplementedFeaturestoreServiceServer) ListFeaturestores(context.Context, *ListFeaturestoresRequest) (*ListFeaturestoresResponse, error)

func (*UnimplementedFeaturestoreServiceServer) SearchFeatures 

func (*UnimplementedFeaturestoreServiceServer) SearchFeatures(context.Context, *SearchFeaturesRequest) (*SearchFeaturesResponse, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType 

func (*UnimplementedFeaturestoreServiceServer) UpdateEntityType(context.Context, *UpdateEntityTypeRequest) (*EntityType, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateFeature 

func (*UnimplementedFeaturestoreServiceServer) UpdateFeature(context.Context, *UpdateFeatureRequest) (*Feature, error)

func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore 

func (*UnimplementedFeaturestoreServiceServer) UpdateFeaturestore(context.Context, *UpdateFeaturestoreRequest) (*longrunning.Operation, error)

type UnimplementedIndexEndpointServiceServer 

type UnimplementedIndexEndpointServiceServer struct {
}

UnimplementedIndexEndpointServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) CreateIndexEndpoint(context.Context, *CreateIndexEndpointRequest) (*longrunning.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) DeleteIndexEndpoint(context.Context, *DeleteIndexEndpointRequest) (*longrunning.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) DeployIndex 

func (*UnimplementedIndexEndpointServiceServer) DeployIndex(context.Context, *DeployIndexRequest) (*longrunning.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) GetIndexEndpoint(context.Context, *GetIndexEndpointRequest) (*IndexEndpoint, error)

func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints 

func (*UnimplementedIndexEndpointServiceServer) ListIndexEndpoints(context.Context, *ListIndexEndpointsRequest) (*ListIndexEndpointsResponse, error)

func (*UnimplementedIndexEndpointServiceServer) UndeployIndex 

func (*UnimplementedIndexEndpointServiceServer) UndeployIndex(context.Context, *UndeployIndexRequest) (*longrunning.Operation, error)

func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint 

func (*UnimplementedIndexEndpointServiceServer) UpdateIndexEndpoint(context.Context, *UpdateIndexEndpointRequest) (*IndexEndpoint, error)

type UnimplementedIndexServiceServer 

type UnimplementedIndexServiceServer struct {
}

UnimplementedIndexServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedIndexServiceServer) CreateIndex 

func (*UnimplementedIndexServiceServer) CreateIndex(context.Context, *CreateIndexRequest) (*longrunning.Operation, error)

func (*UnimplementedIndexServiceServer) DeleteIndex 

func (*UnimplementedIndexServiceServer) DeleteIndex(context.Context, *DeleteIndexRequest) (*longrunning.Operation, error)

func (*UnimplementedIndexServiceServer) GetIndex 

func (*UnimplementedIndexServiceServer) GetIndex(context.Context, *GetIndexRequest) (*Index, error)

func (*UnimplementedIndexServiceServer) ListIndexes 

func (*UnimplementedIndexServiceServer) ListIndexes(context.Context, *ListIndexesRequest) (*ListIndexesResponse, error)

func (*UnimplementedIndexServiceServer) UpdateIndex 

func (*UnimplementedIndexServiceServer) UpdateIndex(context.Context, *UpdateIndexRequest) (*longrunning.Operation, error)

type UnimplementedJobServiceServer 

type UnimplementedJobServiceServer struct {
}

UnimplementedJobServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedJobServiceServer) CancelBatchPredictionJob 

func (*UnimplementedJobServiceServer) CancelBatchPredictionJob(context.Context, *CancelBatchPredictionJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelCustomJob 

func (*UnimplementedJobServiceServer) CancelCustomJob(context.Context, *CancelCustomJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelDataLabelingJob 

func (*UnimplementedJobServiceServer) CancelDataLabelingJob(context.Context, *CancelDataLabelingJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) CancelHyperparameterTuningJob(context.Context, *CancelHyperparameterTuningJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) CreateBatchPredictionJob 

func (*UnimplementedJobServiceServer) CreateBatchPredictionJob(context.Context, *CreateBatchPredictionJobRequest) (*BatchPredictionJob, error)

func (*UnimplementedJobServiceServer) CreateCustomJob 

func (*UnimplementedJobServiceServer) CreateCustomJob(context.Context, *CreateCustomJobRequest) (*CustomJob, error)

func (*UnimplementedJobServiceServer) CreateDataLabelingJob 

func (*UnimplementedJobServiceServer) CreateDataLabelingJob(context.Context, *CreateDataLabelingJobRequest) (*DataLabelingJob, error)

func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) CreateHyperparameterTuningJob(context.Context, *CreateHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)

func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) CreateModelDeploymentMonitoringJob(context.Context, *CreateModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)

func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob 

func (*UnimplementedJobServiceServer) DeleteBatchPredictionJob(context.Context, *DeleteBatchPredictionJobRequest) (*longrunning.Operation, error)

func (*UnimplementedJobServiceServer) DeleteCustomJob 

func (*UnimplementedJobServiceServer) DeleteCustomJob(context.Context, *DeleteCustomJobRequest) (*longrunning.Operation, error)

func (*UnimplementedJobServiceServer) DeleteDataLabelingJob 

func (*UnimplementedJobServiceServer) DeleteDataLabelingJob(context.Context, *DeleteDataLabelingJobRequest) (*longrunning.Operation, error)

func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) DeleteHyperparameterTuningJob(context.Context, *DeleteHyperparameterTuningJobRequest) (*longrunning.Operation, error)

func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) DeleteModelDeploymentMonitoringJob(context.Context, *DeleteModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)

func (*UnimplementedJobServiceServer) GetBatchPredictionJob 

func (*UnimplementedJobServiceServer) GetBatchPredictionJob(context.Context, *GetBatchPredictionJobRequest) (*BatchPredictionJob, error)

func (*UnimplementedJobServiceServer) GetCustomJob 

func (*UnimplementedJobServiceServer) GetCustomJob(context.Context, *GetCustomJobRequest) (*CustomJob, error)

func (*UnimplementedJobServiceServer) GetDataLabelingJob 

func (*UnimplementedJobServiceServer) GetDataLabelingJob(context.Context, *GetDataLabelingJobRequest) (*DataLabelingJob, error)

func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob 

func (*UnimplementedJobServiceServer) GetHyperparameterTuningJob(context.Context, *GetHyperparameterTuningJobRequest) (*HyperparameterTuningJob, error)

func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) GetModelDeploymentMonitoringJob(context.Context, *GetModelDeploymentMonitoringJobRequest) (*ModelDeploymentMonitoringJob, error)

func (*UnimplementedJobServiceServer) ListBatchPredictionJobs 

func (*UnimplementedJobServiceServer) ListBatchPredictionJobs(context.Context, *ListBatchPredictionJobsRequest) (*ListBatchPredictionJobsResponse, error)

func (*UnimplementedJobServiceServer) ListCustomJobs 

func (*UnimplementedJobServiceServer) ListCustomJobs(context.Context, *ListCustomJobsRequest) (*ListCustomJobsResponse, error)

func (*UnimplementedJobServiceServer) ListDataLabelingJobs 

func (*UnimplementedJobServiceServer) ListDataLabelingJobs(context.Context, *ListDataLabelingJobsRequest) (*ListDataLabelingJobsResponse, error)

func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs 

func (*UnimplementedJobServiceServer) ListHyperparameterTuningJobs(context.Context, *ListHyperparameterTuningJobsRequest) (*ListHyperparameterTuningJobsResponse, error)

func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs 

func (*UnimplementedJobServiceServer) ListModelDeploymentMonitoringJobs(context.Context, *ListModelDeploymentMonitoringJobsRequest) (*ListModelDeploymentMonitoringJobsResponse, error)

func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) PauseModelDeploymentMonitoringJob(context.Context, *PauseModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) ResumeModelDeploymentMonitoringJob(context.Context, *ResumeModelDeploymentMonitoringJobRequest) (*emptypb.Empty, error)

func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies 

func (*UnimplementedJobServiceServer) SearchModelDeploymentMonitoringStatsAnomalies(context.Context, *SearchModelDeploymentMonitoringStatsAnomaliesRequest) (*SearchModelDeploymentMonitoringStatsAnomaliesResponse, error)

func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob 

func (*UnimplementedJobServiceServer) UpdateModelDeploymentMonitoringJob(context.Context, *UpdateModelDeploymentMonitoringJobRequest) (*longrunning.Operation, error)

type UnimplementedMetadataServiceServer 

type UnimplementedMetadataServiceServer struct {
}

UnimplementedMetadataServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions 

func (*UnimplementedMetadataServiceServer) AddContextArtifactsAndExecutions(context.Context, *AddContextArtifactsAndExecutionsRequest) (*AddContextArtifactsAndExecutionsResponse, error)

func (*UnimplementedMetadataServiceServer) AddContextChildren 

func (*UnimplementedMetadataServiceServer) AddContextChildren(context.Context, *AddContextChildrenRequest) (*AddContextChildrenResponse, error)

func (*UnimplementedMetadataServiceServer) AddExecutionEvents 

func (*UnimplementedMetadataServiceServer) AddExecutionEvents(context.Context, *AddExecutionEventsRequest) (*AddExecutionEventsResponse, error)

func (*UnimplementedMetadataServiceServer) CreateArtifact 

func (*UnimplementedMetadataServiceServer) CreateArtifact(context.Context, *CreateArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) CreateContext 

func (*UnimplementedMetadataServiceServer) CreateContext(context.Context, *CreateContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) CreateExecution 

func (*UnimplementedMetadataServiceServer) CreateExecution(context.Context, *CreateExecutionRequest) (*Execution, error)

func (*UnimplementedMetadataServiceServer) CreateMetadataSchema 

func (*UnimplementedMetadataServiceServer) CreateMetadataSchema(context.Context, *CreateMetadataSchemaRequest) (*MetadataSchema, error)

func (*UnimplementedMetadataServiceServer) CreateMetadataStore 

func (*UnimplementedMetadataServiceServer) CreateMetadataStore(context.Context, *CreateMetadataStoreRequest) (*longrunning.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteContext 

func (*UnimplementedMetadataServiceServer) DeleteContext(context.Context, *DeleteContextRequest) (*longrunning.Operation, error)

func (*UnimplementedMetadataServiceServer) DeleteMetadataStore 

func (*UnimplementedMetadataServiceServer) DeleteMetadataStore(context.Context, *DeleteMetadataStoreRequest) (*longrunning.Operation, error)

func (*UnimplementedMetadataServiceServer) GetArtifact 

func (*UnimplementedMetadataServiceServer) GetArtifact(context.Context, *GetArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) GetContext 

func (*UnimplementedMetadataServiceServer) GetContext(context.Context, *GetContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) GetExecution 

func (*UnimplementedMetadataServiceServer) GetExecution(context.Context, *GetExecutionRequest) (*Execution, error)

func (*UnimplementedMetadataServiceServer) GetMetadataSchema 

func (*UnimplementedMetadataServiceServer) GetMetadataSchema(context.Context, *GetMetadataSchemaRequest) (*MetadataSchema, error)

func (*UnimplementedMetadataServiceServer) GetMetadataStore 

func (*UnimplementedMetadataServiceServer) GetMetadataStore(context.Context, *GetMetadataStoreRequest) (*MetadataStore, error)

func (*UnimplementedMetadataServiceServer) ListArtifacts 

func (*UnimplementedMetadataServiceServer) ListArtifacts(context.Context, *ListArtifactsRequest) (*ListArtifactsResponse, error)

func (*UnimplementedMetadataServiceServer) ListContexts 

func (*UnimplementedMetadataServiceServer) ListContexts(context.Context, *ListContextsRequest) (*ListContextsResponse, error)

func (*UnimplementedMetadataServiceServer) ListExecutions 

func (*UnimplementedMetadataServiceServer) ListExecutions(context.Context, *ListExecutionsRequest) (*ListExecutionsResponse, error)

func (*UnimplementedMetadataServiceServer) ListMetadataSchemas 

func (*UnimplementedMetadataServiceServer) ListMetadataSchemas(context.Context, *ListMetadataSchemasRequest) (*ListMetadataSchemasResponse, error)

func (*UnimplementedMetadataServiceServer) ListMetadataStores 

func (*UnimplementedMetadataServiceServer) ListMetadataStores(context.Context, *ListMetadataStoresRequest) (*ListMetadataStoresResponse, error)

func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph 

func (*UnimplementedMetadataServiceServer) QueryArtifactLineageSubgraph(context.Context, *QueryArtifactLineageSubgraphRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph 

func (*UnimplementedMetadataServiceServer) QueryContextLineageSubgraph(context.Context, *QueryContextLineageSubgraphRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs 

func (*UnimplementedMetadataServiceServer) QueryExecutionInputsAndOutputs(context.Context, *QueryExecutionInputsAndOutputsRequest) (*LineageSubgraph, error)

func (*UnimplementedMetadataServiceServer) UpdateArtifact 

func (*UnimplementedMetadataServiceServer) UpdateArtifact(context.Context, *UpdateArtifactRequest) (*Artifact, error)

func (*UnimplementedMetadataServiceServer) UpdateContext 

func (*UnimplementedMetadataServiceServer) UpdateContext(context.Context, *UpdateContextRequest) (*Context, error)

func (*UnimplementedMetadataServiceServer) UpdateExecution 

func (*UnimplementedMetadataServiceServer) UpdateExecution(context.Context, *UpdateExecutionRequest) (*Execution, error)

type UnimplementedMigrationServiceServer 

type UnimplementedMigrationServiceServer struct {
}

UnimplementedMigrationServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedMigrationServiceServer) BatchMigrateResources 

func (*UnimplementedMigrationServiceServer) BatchMigrateResources(context.Context, *BatchMigrateResourcesRequest) (*longrunning.Operation, error)

func (*UnimplementedMigrationServiceServer) SearchMigratableResources 

func (*UnimplementedMigrationServiceServer) SearchMigratableResources(context.Context, *SearchMigratableResourcesRequest) (*SearchMigratableResourcesResponse, error)

type UnimplementedModelServiceServer 

type UnimplementedModelServiceServer struct {
}

UnimplementedModelServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedModelServiceServer) DeleteModel 

func (*UnimplementedModelServiceServer) DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error)

func (*UnimplementedModelServiceServer) ExportModel 

func (*UnimplementedModelServiceServer) ExportModel(context.Context, *ExportModelRequest) (*longrunning.Operation, error)

func (*UnimplementedModelServiceServer) GetModel 

func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error)

func (*UnimplementedModelServiceServer) GetModelEvaluation 

func (*UnimplementedModelServiceServer) GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)

func (*UnimplementedModelServiceServer) GetModelEvaluationSlice 

func (*UnimplementedModelServiceServer) GetModelEvaluationSlice(context.Context, *GetModelEvaluationSliceRequest) (*ModelEvaluationSlice, error)

func (*UnimplementedModelServiceServer) ListModelEvaluationSlices 

func (*UnimplementedModelServiceServer) ListModelEvaluationSlices(context.Context, *ListModelEvaluationSlicesRequest) (*ListModelEvaluationSlicesResponse, error)

func (*UnimplementedModelServiceServer) ListModelEvaluations 

func (*UnimplementedModelServiceServer) ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)

func (*UnimplementedModelServiceServer) ListModels 

func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)

func (*UnimplementedModelServiceServer) UpdateModel 

func (*UnimplementedModelServiceServer) UpdateModel(context.Context, *UpdateModelRequest) (*Model, error)

func (*UnimplementedModelServiceServer) UploadModel 

func (*UnimplementedModelServiceServer) UploadModel(context.Context, *UploadModelRequest) (*longrunning.Operation, error)

type UnimplementedPipelineServiceServer 

type UnimplementedPipelineServiceServer struct {
}

UnimplementedPipelineServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedPipelineServiceServer) CancelPipelineJob 

func (*UnimplementedPipelineServiceServer) CancelPipelineJob(context.Context, *CancelPipelineJobRequest) (*emptypb.Empty, error)

func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline 

func (*UnimplementedPipelineServiceServer) CancelTrainingPipeline(context.Context, *CancelTrainingPipelineRequest) (*emptypb.Empty, error)

func (*UnimplementedPipelineServiceServer) CreatePipelineJob 

func (*UnimplementedPipelineServiceServer) CreatePipelineJob(context.Context, *CreatePipelineJobRequest) (*PipelineJob, error)

func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline 

func (*UnimplementedPipelineServiceServer) CreateTrainingPipeline(context.Context, *CreateTrainingPipelineRequest) (*TrainingPipeline, error)

func (*UnimplementedPipelineServiceServer) DeletePipelineJob 

func (*UnimplementedPipelineServiceServer) DeletePipelineJob(context.Context, *DeletePipelineJobRequest) (*longrunning.Operation, error)

func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline 

func (*UnimplementedPipelineServiceServer) DeleteTrainingPipeline(context.Context, *DeleteTrainingPipelineRequest) (*longrunning.Operation, error)

func (*UnimplementedPipelineServiceServer) GetPipelineJob 

func (*UnimplementedPipelineServiceServer) GetPipelineJob(context.Context, *GetPipelineJobRequest) (*PipelineJob, error)

func (*UnimplementedPipelineServiceServer) GetTrainingPipeline 

func (*UnimplementedPipelineServiceServer) GetTrainingPipeline(context.Context, *GetTrainingPipelineRequest) (*TrainingPipeline, error)

func (*UnimplementedPipelineServiceServer) ListPipelineJobs 

func (*UnimplementedPipelineServiceServer) ListPipelineJobs(context.Context, *ListPipelineJobsRequest) (*ListPipelineJobsResponse, error)

func (*UnimplementedPipelineServiceServer) ListTrainingPipelines 

func (*UnimplementedPipelineServiceServer) ListTrainingPipelines(context.Context, *ListTrainingPipelinesRequest) (*ListTrainingPipelinesResponse, error)

type UnimplementedPredictionServiceServer 

type UnimplementedPredictionServiceServer struct {
}

UnimplementedPredictionServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedPredictionServiceServer) Explain 

func (*UnimplementedPredictionServiceServer) Explain(context.Context, *ExplainRequest) (*ExplainResponse, error)

func (*UnimplementedPredictionServiceServer) Predict 

func (*UnimplementedPredictionServiceServer) Predict(context.Context, *PredictRequest) (*PredictResponse, error)

type UnimplementedSpecialistPoolServiceServer 

type UnimplementedSpecialistPoolServiceServer struct {
}

UnimplementedSpecialistPoolServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) CreateSpecialistPool(context.Context, *CreateSpecialistPoolRequest) (*longrunning.Operation, error)

func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) DeleteSpecialistPool(context.Context, *DeleteSpecialistPoolRequest) (*longrunning.Operation, error)

func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) GetSpecialistPool(context.Context, *GetSpecialistPoolRequest) (*SpecialistPool, error)

func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools 

func (*UnimplementedSpecialistPoolServiceServer) ListSpecialistPools(context.Context, *ListSpecialistPoolsRequest) (*ListSpecialistPoolsResponse, error)

func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool 

func (*UnimplementedSpecialistPoolServiceServer) UpdateSpecialistPool(context.Context, *UpdateSpecialistPoolRequest) (*longrunning.Operation, error)

type UnimplementedTensorboardServiceServer 

type UnimplementedTensorboardServiceServer struct {
}

UnimplementedTensorboardServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedTensorboardServiceServer) CreateTensorboard 

func (*UnimplementedTensorboardServiceServer) CreateTensorboard(context.Context, *CreateTensorboardRequest) (*longrunning.Operation, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) CreateTensorboardExperiment(context.Context, *CreateTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun 

func (*UnimplementedTensorboardServiceServer) CreateTensorboardRun(context.Context, *CreateTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) CreateTensorboardTimeSeries(context.Context, *CreateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboard 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboard(context.Context, *DeleteTensorboardRequest) (*longrunning.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardExperiment(context.Context, *DeleteTensorboardExperimentRequest) (*longrunning.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardRun(context.Context, *DeleteTensorboardRunRequest) (*longrunning.Operation, error)

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) DeleteTensorboardTimeSeries(context.Context, *DeleteTensorboardTimeSeriesRequest) (*longrunning.Operation, error)

func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData 

func (*UnimplementedTensorboardServiceServer) ExportTensorboardTimeSeriesData(context.Context, *ExportTensorboardTimeSeriesDataRequest) (*ExportTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboard 

func (*UnimplementedTensorboardServiceServer) GetTensorboard(context.Context, *GetTensorboardRequest) (*Tensorboard, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) GetTensorboardExperiment(context.Context, *GetTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardRun 

func (*UnimplementedTensorboardServiceServer) GetTensorboardRun(context.Context, *GetTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) GetTensorboardTimeSeries(context.Context, *GetTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments 

func (*UnimplementedTensorboardServiceServer) ListTensorboardExperiments(context.Context, *ListTensorboardExperimentsRequest) (*ListTensorboardExperimentsResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns 

func (*UnimplementedTensorboardServiceServer) ListTensorboardRuns(context.Context, *ListTensorboardRunsRequest) (*ListTensorboardRunsResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) ListTensorboardTimeSeries(context.Context, *ListTensorboardTimeSeriesRequest) (*ListTensorboardTimeSeriesResponse, error)

func (*UnimplementedTensorboardServiceServer) ListTensorboards 

func (*UnimplementedTensorboardServiceServer) ListTensorboards(context.Context, *ListTensorboardsRequest) (*ListTensorboardsResponse, error)

func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData 

func (*UnimplementedTensorboardServiceServer) ReadTensorboardBlobData(*ReadTensorboardBlobDataRequest, TensorboardService_ReadTensorboardBlobDataServer) error

func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData 

func (*UnimplementedTensorboardServiceServer) ReadTensorboardTimeSeriesData(context.Context, *ReadTensorboardTimeSeriesDataRequest) (*ReadTensorboardTimeSeriesDataResponse, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboard 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboard(context.Context, *UpdateTensorboardRequest) (*longrunning.Operation, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardExperiment(context.Context, *UpdateTensorboardExperimentRequest) (*TensorboardExperiment, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardRun(context.Context, *UpdateTensorboardRunRequest) (*TensorboardRun, error)

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries 

func (*UnimplementedTensorboardServiceServer) UpdateTensorboardTimeSeries(context.Context, *UpdateTensorboardTimeSeriesRequest) (*TensorboardTimeSeries, error)

func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData 

func (*UnimplementedTensorboardServiceServer) WriteTensorboardRunData(context.Context, *WriteTensorboardRunDataRequest) (*WriteTensorboardRunDataResponse, error)

type UnimplementedVizierServiceServer 

type UnimplementedVizierServiceServer struct {
}

UnimplementedVizierServiceServer can be embedded to have forward compatible implementations.

func (*UnimplementedVizierServiceServer) AddTrialMeasurement 

func (*UnimplementedVizierServiceServer) AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState 

func (*UnimplementedVizierServiceServer) CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunning.Operation, error)

func (*UnimplementedVizierServiceServer) CompleteTrial 

func (*UnimplementedVizierServiceServer) CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) CreateStudy 

func (*UnimplementedVizierServiceServer) CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) CreateTrial 

func (*UnimplementedVizierServiceServer) CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) DeleteStudy 

func (*UnimplementedVizierServiceServer) DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)

func (*UnimplementedVizierServiceServer) DeleteTrial 

func (*UnimplementedVizierServiceServer) DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)

func (*UnimplementedVizierServiceServer) GetStudy 

func (*UnimplementedVizierServiceServer) GetStudy(context.Context, *GetStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) GetTrial 

func (*UnimplementedVizierServiceServer) GetTrial(context.Context, *GetTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) ListOptimalTrials 

func (*UnimplementedVizierServiceServer) ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)

func (*UnimplementedVizierServiceServer) ListStudies 

func (*UnimplementedVizierServiceServer) ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)

func (*UnimplementedVizierServiceServer) ListTrials 

func (*UnimplementedVizierServiceServer) ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)

func (*UnimplementedVizierServiceServer) LookupStudy 

func (*UnimplementedVizierServiceServer) LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)

func (*UnimplementedVizierServiceServer) StopTrial 

func (*UnimplementedVizierServiceServer) StopTrial(context.Context, *StopTrialRequest) (*Trial, error)

func (*UnimplementedVizierServiceServer) SuggestTrials 

func (*UnimplementedVizierServiceServer) SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunning.Operation, error)

type UpdateArtifactRequest 

type UpdateArtifactRequest struct {

	// Required. The Artifact containing updates.
	// The Artifact's [Artifact.name][google.cloud.aiplatform.v1beta1.Artifact.name] field is used to identify the Artifact to
	// be updated.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}
	Artifact *Artifact `protobuf:"bytes,1,opt,name=artifact,proto3" json:"artifact,omitempty"`
	// Required. A FieldMask indicating which fields should be updated.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Artifact][google.cloud.aiplatform.v1beta1.Artifact] is not found, a new [Artifact][google.cloud.aiplatform.v1beta1.Artifact] will
	// be created. In this situation, `update_mask` is ignored.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].

func (*UpdateArtifactRequest) Descriptor deprecated 

func (*UpdateArtifactRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateArtifactRequest.ProtoReflect.Descriptor instead.

func (*UpdateArtifactRequest) GetAllowMissing 

func (x *UpdateArtifactRequest) GetAllowMissing() bool

func (*UpdateArtifactRequest) GetArtifact 

func (x *UpdateArtifactRequest) GetArtifact() *Artifact

func (*UpdateArtifactRequest) GetUpdateMask 

func (x *UpdateArtifactRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateArtifactRequest) ProtoMessage 

func (*UpdateArtifactRequest) ProtoMessage()

func (*UpdateArtifactRequest) ProtoReflect 

func (x *UpdateArtifactRequest) ProtoReflect() protoreflect.Message

func (*UpdateArtifactRequest) Reset 

func (x *UpdateArtifactRequest) Reset()

func (*UpdateArtifactRequest) String 

func (x *UpdateArtifactRequest) String() string

type UpdateContextRequest 

type UpdateContextRequest struct {

	// Required. The Context containing updates.
	// The Context's [Context.name][google.cloud.aiplatform.v1beta1.Context.name] field is used to identify the Context to be
	// updated.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/contexts/{context}
	Context *Context `protobuf:"bytes,1,opt,name=context,proto3" json:"context,omitempty"`
	// Required. A FieldMask indicating which fields should be updated.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Context][google.cloud.aiplatform.v1beta1.Context] is not found, a new [Context][google.cloud.aiplatform.v1beta1.Context] will be
	// created. In this situation, `update_mask` is ignored.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].

func (*UpdateContextRequest) Descriptor deprecated 

func (*UpdateContextRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateContextRequest.ProtoReflect.Descriptor instead.

func (*UpdateContextRequest) GetAllowMissing 

func (x *UpdateContextRequest) GetAllowMissing() bool

func (*UpdateContextRequest) GetContext 

func (x *UpdateContextRequest) GetContext() *Context

func (*UpdateContextRequest) GetUpdateMask 

func (x *UpdateContextRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateContextRequest) ProtoMessage 

func (*UpdateContextRequest) ProtoMessage()

func (*UpdateContextRequest) ProtoReflect 

func (x *UpdateContextRequest) ProtoReflect() protoreflect.Message

func (*UpdateContextRequest) Reset 

func (x *UpdateContextRequest) Reset()

func (*UpdateContextRequest) String 

func (x *UpdateContextRequest) String() string

type UpdateDatasetRequest 

type UpdateDatasetRequest struct {

	// Required. The Dataset which replaces the resource on the server.
	Dataset *Dataset `protobuf:"bytes,1,opt,name=dataset,proto3" json:"dataset,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
	// Updatable fields:
	//
	//   * `display_name`
	//   * `description`
	//   * `labels`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].

func (*UpdateDatasetRequest) Descriptor deprecated 

func (*UpdateDatasetRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateDatasetRequest.ProtoReflect.Descriptor instead.

func (*UpdateDatasetRequest) GetDataset 

func (x *UpdateDatasetRequest) GetDataset() *Dataset

func (*UpdateDatasetRequest) GetUpdateMask 

func (x *UpdateDatasetRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateDatasetRequest) ProtoMessage 

func (*UpdateDatasetRequest) ProtoMessage()

func (*UpdateDatasetRequest) ProtoReflect 

func (x *UpdateDatasetRequest) ProtoReflect() protoreflect.Message

func (*UpdateDatasetRequest) Reset 

func (x *UpdateDatasetRequest) Reset()

func (*UpdateDatasetRequest) String 

func (x *UpdateDatasetRequest) String() string

type UpdateEndpointRequest 

type UpdateEndpointRequest struct {

	// Required. The Endpoint which replaces the resource on the server.
	Endpoint *Endpoint `protobuf:"bytes,1,opt,name=endpoint,proto3" json:"endpoint,omitempty"`
	// Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].

func (*UpdateEndpointRequest) Descriptor deprecated 

func (*UpdateEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEndpointRequest.ProtoReflect.Descriptor instead.

func (*UpdateEndpointRequest) GetEndpoint 

func (x *UpdateEndpointRequest) GetEndpoint() *Endpoint

func (*UpdateEndpointRequest) GetUpdateMask 

func (x *UpdateEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateEndpointRequest) ProtoMessage 

func (*UpdateEndpointRequest) ProtoMessage()

func (*UpdateEndpointRequest) ProtoReflect 

func (x *UpdateEndpointRequest) ProtoReflect() protoreflect.Message

func (*UpdateEndpointRequest) Reset 

func (x *UpdateEndpointRequest) Reset()

func (*UpdateEndpointRequest) String 

func (x *UpdateEndpointRequest) String() string

type UpdateEntityTypeRequest 

type UpdateEntityTypeRequest struct {

	// Required. The EntityType's `name` field is used to identify the EntityType to be
	// updated.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}`
	EntityType *EntityType `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// EntityType resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   * `description`
	//   * `labels`
	//   * `monitoring_config.snapshot_analysis.disabled`
	//   * `monitoring_config.snapshot_analysis.monitoring_interval`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].

func (*UpdateEntityTypeRequest) Descriptor deprecated 

func (*UpdateEntityTypeRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateEntityTypeRequest.ProtoReflect.Descriptor instead.

func (*UpdateEntityTypeRequest) GetEntityType 

func (x *UpdateEntityTypeRequest) GetEntityType() *EntityType

func (*UpdateEntityTypeRequest) GetUpdateMask 

func (x *UpdateEntityTypeRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateEntityTypeRequest) ProtoMessage 

func (*UpdateEntityTypeRequest) ProtoMessage()

func (*UpdateEntityTypeRequest) ProtoReflect 

func (x *UpdateEntityTypeRequest) ProtoReflect() protoreflect.Message

func (*UpdateEntityTypeRequest) Reset 

func (x *UpdateEntityTypeRequest) Reset()

func (*UpdateEntityTypeRequest) String 

func (x *UpdateEntityTypeRequest) String() string

type UpdateExecutionRequest 

type UpdateExecutionRequest struct {

	// Required. The Execution containing updates.
	// The Execution's [Execution.name][google.cloud.aiplatform.v1beta1.Execution.name] field is used to identify the Execution
	// to be updated.
	// Format:
	// projects/{project}/locations/{location}/metadataStores/{metadatastore}/executions/{execution}
	Execution *Execution `protobuf:"bytes,1,opt,name=execution,proto3" json:"execution,omitempty"`
	// Required. A FieldMask indicating which fields should be updated.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// If set to true, and the [Execution][google.cloud.aiplatform.v1beta1.Execution] is not found, a new [Execution][google.cloud.aiplatform.v1beta1.Execution]
	// will be created. In this situation, `update_mask` is ignored.
	AllowMissing bool `protobuf:"varint,3,opt,name=allow_missing,json=allowMissing,proto3" json:"allow_missing,omitempty"`
	// contains filtered or unexported fields
}

Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].

func (*UpdateExecutionRequest) Descriptor deprecated 

func (*UpdateExecutionRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateExecutionRequest.ProtoReflect.Descriptor instead.

func (*UpdateExecutionRequest) GetAllowMissing 

func (x *UpdateExecutionRequest) GetAllowMissing() bool

func (*UpdateExecutionRequest) GetExecution 

func (x *UpdateExecutionRequest) GetExecution() *Execution

func (*UpdateExecutionRequest) GetUpdateMask 

func (x *UpdateExecutionRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateExecutionRequest) ProtoMessage 

func (*UpdateExecutionRequest) ProtoMessage()

func (*UpdateExecutionRequest) ProtoReflect 

func (x *UpdateExecutionRequest) ProtoReflect() protoreflect.Message

func (*UpdateExecutionRequest) Reset 

func (x *UpdateExecutionRequest) Reset()

func (*UpdateExecutionRequest) String 

func (x *UpdateExecutionRequest) String() string

type UpdateFeatureRequest 

type UpdateFeatureRequest struct {

	// Required. The Feature's `name` field is used to identify the Feature to be
	// updated.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}`
	Feature *Feature `protobuf:"bytes,1,opt,name=feature,proto3" json:"feature,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// Features resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   * `description`
	//   * `labels`
	//   * `monitoring_config.snapshot_analysis.disabled`
	//   * `monitoring_config.snapshot_analysis.monitoring_interval`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].

func (*UpdateFeatureRequest) Descriptor deprecated 

func (*UpdateFeatureRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeatureRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeatureRequest) GetFeature 

func (x *UpdateFeatureRequest) GetFeature() *Feature

func (*UpdateFeatureRequest) GetUpdateMask 

func (x *UpdateFeatureRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeatureRequest) ProtoMessage 

func (*UpdateFeatureRequest) ProtoMessage()

func (*UpdateFeatureRequest) ProtoReflect 

func (x *UpdateFeatureRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeatureRequest) Reset 

func (x *UpdateFeatureRequest) Reset()

func (*UpdateFeatureRequest) String 

func (x *UpdateFeatureRequest) String() string

type UpdateFeaturestoreOperationMetadata 

type UpdateFeaturestoreOperationMetadata struct {

	// Operation metadata for Featurestore.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update Featurestore.

func (*UpdateFeaturestoreOperationMetadata) Descriptor deprecated 

func (*UpdateFeaturestoreOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeaturestoreOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateFeaturestoreOperationMetadata) GetGenericMetadata 

func (x *UpdateFeaturestoreOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateFeaturestoreOperationMetadata) ProtoMessage 

func (*UpdateFeaturestoreOperationMetadata) ProtoMessage()

func (*UpdateFeaturestoreOperationMetadata) ProtoReflect 

func (x *UpdateFeaturestoreOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateFeaturestoreOperationMetadata) Reset 

func (x *UpdateFeaturestoreOperationMetadata) Reset()

func (*UpdateFeaturestoreOperationMetadata) String 

func (x *UpdateFeaturestoreOperationMetadata) String() string

type UpdateFeaturestoreRequest 

type UpdateFeaturestoreRequest struct {

	// Required. The Featurestore's `name` field is used to identify the Featurestore to be
	// updated.
	// Format:
	// `projects/{project}/locations/{location}/featurestores/{featurestore}`
	Featurestore *Featurestore `protobuf:"bytes,1,opt,name=featurestore,proto3" json:"featurestore,omitempty"`
	// Field mask is used to specify the fields to be overwritten in the
	// Featurestore resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then only the non-empty fields present in the
	// request will be overwritten. Set the update_mask to `*` to override all
	// fields.
	//
	// Updatable fields:
	//
	//   * `labels`
	//   * `online_serving_config.fixed_node_count`
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].

func (*UpdateFeaturestoreRequest) Descriptor deprecated 

func (*UpdateFeaturestoreRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateFeaturestoreRequest.ProtoReflect.Descriptor instead.

func (*UpdateFeaturestoreRequest) GetFeaturestore 

func (x *UpdateFeaturestoreRequest) GetFeaturestore() *Featurestore

func (*UpdateFeaturestoreRequest) GetUpdateMask 

func (x *UpdateFeaturestoreRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateFeaturestoreRequest) ProtoMessage 

func (*UpdateFeaturestoreRequest) ProtoMessage()

func (*UpdateFeaturestoreRequest) ProtoReflect 

func (x *UpdateFeaturestoreRequest) ProtoReflect() protoreflect.Message

func (*UpdateFeaturestoreRequest) Reset 

func (x *UpdateFeaturestoreRequest) Reset()

func (*UpdateFeaturestoreRequest) String 

func (x *UpdateFeaturestoreRequest) String() string

type UpdateIndexEndpointRequest 

type UpdateIndexEndpointRequest struct {

	// Required. The IndexEndpoint which replaces the resource on the server.
	IndexEndpoint *IndexEndpoint `protobuf:"bytes,1,opt,name=index_endpoint,json=indexEndpoint,proto3" json:"index_endpoint,omitempty"`
	// Required. The update mask applies to the resource. See [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].

func (*UpdateIndexEndpointRequest) Descriptor deprecated 

func (*UpdateIndexEndpointRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexEndpointRequest.ProtoReflect.Descriptor instead.

func (*UpdateIndexEndpointRequest) GetIndexEndpoint 

func (x *UpdateIndexEndpointRequest) GetIndexEndpoint() *IndexEndpoint

func (*UpdateIndexEndpointRequest) GetUpdateMask 

func (x *UpdateIndexEndpointRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateIndexEndpointRequest) ProtoMessage 

func (*UpdateIndexEndpointRequest) ProtoMessage()

func (*UpdateIndexEndpointRequest) ProtoReflect 

func (x *UpdateIndexEndpointRequest) ProtoReflect() protoreflect.Message

func (*UpdateIndexEndpointRequest) Reset 

func (x *UpdateIndexEndpointRequest) Reset()

func (*UpdateIndexEndpointRequest) String 

func (x *UpdateIndexEndpointRequest) String() string

type UpdateIndexOperationMetadata 

type UpdateIndexOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// The operation metadata with regard to Matching Engine Index operation.
	NearestNeighborSearchOperationMetadata *NearestNeighborSearchOperationMetadata `` /* 181-byte string literal not displayed */
	// contains filtered or unexported fields
}

Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].

func (*UpdateIndexOperationMetadata) Descriptor deprecated 

func (*UpdateIndexOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateIndexOperationMetadata) GetGenericMetadata 

func (x *UpdateIndexOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata 

func (x *UpdateIndexOperationMetadata) GetNearestNeighborSearchOperationMetadata() *NearestNeighborSearchOperationMetadata

func (*UpdateIndexOperationMetadata) ProtoMessage 

func (*UpdateIndexOperationMetadata) ProtoMessage()

func (*UpdateIndexOperationMetadata) ProtoReflect 

func (x *UpdateIndexOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateIndexOperationMetadata) Reset 

func (x *UpdateIndexOperationMetadata) Reset()

func (*UpdateIndexOperationMetadata) String 

func (x *UpdateIndexOperationMetadata) String() string

type UpdateIndexRequest 

type UpdateIndexRequest struct {

	// Required. The Index which updates the resource on the server.
	Index *Index `protobuf:"bytes,1,opt,name=index,proto3" json:"index,omitempty"`
	// The update mask applies to the resource.
	// For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].

func (*UpdateIndexRequest) Descriptor deprecated 

func (*UpdateIndexRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateIndexRequest.ProtoReflect.Descriptor instead.

func (*UpdateIndexRequest) GetIndex 

func (x *UpdateIndexRequest) GetIndex() *Index

func (*UpdateIndexRequest) GetUpdateMask 

func (x *UpdateIndexRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateIndexRequest) ProtoMessage 

func (*UpdateIndexRequest) ProtoMessage()

func (*UpdateIndexRequest) ProtoReflect 

func (x *UpdateIndexRequest) ProtoReflect() protoreflect.Message

func (*UpdateIndexRequest) Reset 

func (x *UpdateIndexRequest) Reset()

func (*UpdateIndexRequest) String 

func (x *UpdateIndexRequest) String() string

type UpdateModelDeploymentMonitoringJobOperationMetadata 

type UpdateModelDeploymentMonitoringJobOperationMetadata struct {

	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation information for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJob].

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor deprecated 

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelDeploymentMonitoringJobOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage 

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoMessage()

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) Reset 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) Reset()

func (*UpdateModelDeploymentMonitoringJobOperationMetadata) String 

func (x *UpdateModelDeploymentMonitoringJobOperationMetadata) String() string

type UpdateModelDeploymentMonitoringJobRequest 

type UpdateModelDeploymentMonitoringJobRequest struct {

	// Required. The model monitoring configuration which replaces the resource on the
	// server.
	ModelDeploymentMonitoringJob *ModelDeploymentMonitoringJob `` /* 149-byte string literal not displayed */
	// Required. The update mask applies to the resource.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJob].

func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor deprecated 

func (*UpdateModelDeploymentMonitoringJobRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelDeploymentMonitoringJobRequest.ProtoReflect.Descriptor instead.

func (*UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob 

func (x *UpdateModelDeploymentMonitoringJobRequest) GetModelDeploymentMonitoringJob() *ModelDeploymentMonitoringJob

func (*UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask 

func (x *UpdateModelDeploymentMonitoringJobRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage 

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoMessage()

func (*UpdateModelDeploymentMonitoringJobRequest) ProtoReflect 

func (x *UpdateModelDeploymentMonitoringJobRequest) ProtoReflect() protoreflect.Message

func (*UpdateModelDeploymentMonitoringJobRequest) Reset 

func (x *UpdateModelDeploymentMonitoringJobRequest) Reset()

func (*UpdateModelDeploymentMonitoringJobRequest) String 

func (x *UpdateModelDeploymentMonitoringJobRequest) String() string

type UpdateModelRequest 

type UpdateModelRequest struct {

	// Required. The Model which replaces the resource on the server.
	Model *Model `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// Required. The update mask applies to the resource.
	// For the `FieldMask` definition, see [google.protobuf.FieldMask][google.protobuf.FieldMask].
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].

func (*UpdateModelRequest) Descriptor deprecated 

func (*UpdateModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateModelRequest.ProtoReflect.Descriptor instead.

func (*UpdateModelRequest) GetModel 

func (x *UpdateModelRequest) GetModel() *Model

func (*UpdateModelRequest) GetUpdateMask 

func (x *UpdateModelRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateModelRequest) ProtoMessage 

func (*UpdateModelRequest) ProtoMessage()

func (*UpdateModelRequest) ProtoReflect 

func (x *UpdateModelRequest) ProtoReflect() protoreflect.Message

func (*UpdateModelRequest) Reset 

func (x *UpdateModelRequest) Reset()

func (*UpdateModelRequest) String 

func (x *UpdateModelRequest) String() string

type UpdateSpecialistPoolOperationMetadata 

type UpdateSpecialistPoolOperationMetadata struct {

	// Output only. The name of the SpecialistPool to which the specialists are being added.
	// Format:
	// `projects/{project_id}/locations/{location_id}/specialistPools/{specialist_pool}`
	SpecialistPool string `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,2,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Runtime operation metadata for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].

func (*UpdateSpecialistPoolOperationMetadata) Descriptor deprecated 

func (*UpdateSpecialistPoolOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateSpecialistPoolOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateSpecialistPoolOperationMetadata) GetGenericMetadata 

func (x *UpdateSpecialistPoolOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateSpecialistPoolOperationMetadata) GetSpecialistPool 

func (x *UpdateSpecialistPoolOperationMetadata) GetSpecialistPool() string

func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage 

func (*UpdateSpecialistPoolOperationMetadata) ProtoMessage()

func (*UpdateSpecialistPoolOperationMetadata) ProtoReflect 

func (x *UpdateSpecialistPoolOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateSpecialistPoolOperationMetadata) Reset 

func (x *UpdateSpecialistPoolOperationMetadata) Reset()

func (*UpdateSpecialistPoolOperationMetadata) String 

func (x *UpdateSpecialistPoolOperationMetadata) String() string

type UpdateSpecialistPoolRequest 

type UpdateSpecialistPoolRequest struct {

	// Required. The SpecialistPool which replaces the resource on the server.
	SpecialistPool *SpecialistPool `protobuf:"bytes,1,opt,name=specialist_pool,json=specialistPool,proto3" json:"specialist_pool,omitempty"`
	// Required. The update mask applies to the resource.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// contains filtered or unexported fields
}

Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].

func (*UpdateSpecialistPoolRequest) Descriptor deprecated 

func (*UpdateSpecialistPoolRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateSpecialistPoolRequest.ProtoReflect.Descriptor instead.

func (*UpdateSpecialistPoolRequest) GetSpecialistPool 

func (x *UpdateSpecialistPoolRequest) GetSpecialistPool() *SpecialistPool

func (*UpdateSpecialistPoolRequest) GetUpdateMask 

func (x *UpdateSpecialistPoolRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateSpecialistPoolRequest) ProtoMessage 

func (*UpdateSpecialistPoolRequest) ProtoMessage()

func (*UpdateSpecialistPoolRequest) ProtoReflect 

func (x *UpdateSpecialistPoolRequest) ProtoReflect() protoreflect.Message

func (*UpdateSpecialistPoolRequest) Reset 

func (x *UpdateSpecialistPoolRequest) Reset()

func (*UpdateSpecialistPoolRequest) String 

func (x *UpdateSpecialistPoolRequest) String() string

type UpdateTensorboardExperimentRequest 

type UpdateTensorboardExperimentRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardExperiment resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then all fields will be overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardExperiment's `name` field is used to identify the
	// TensorboardExperiment to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
	TensorboardExperiment *TensorboardExperiment `protobuf:"bytes,2,opt,name=tensorboard_experiment,json=tensorboardExperiment,proto3" json:"tensorboard_experiment,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].

func (*UpdateTensorboardExperimentRequest) Descriptor deprecated 

func (*UpdateTensorboardExperimentRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardExperimentRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardExperimentRequest) GetTensorboardExperiment 

func (x *UpdateTensorboardExperimentRequest) GetTensorboardExperiment() *TensorboardExperiment

func (*UpdateTensorboardExperimentRequest) GetUpdateMask 

func (x *UpdateTensorboardExperimentRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardExperimentRequest) ProtoMessage 

func (*UpdateTensorboardExperimentRequest) ProtoMessage()

func (*UpdateTensorboardExperimentRequest) ProtoReflect 

func (x *UpdateTensorboardExperimentRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardExperimentRequest) Reset 

func (x *UpdateTensorboardExperimentRequest) Reset()

func (*UpdateTensorboardExperimentRequest) String 

func (x *UpdateTensorboardExperimentRequest) String() string

type UpdateTensorboardOperationMetadata 

type UpdateTensorboardOperationMetadata struct {

	// Operation metadata for Tensorboard.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of operations that perform update Tensorboard.

func (*UpdateTensorboardOperationMetadata) Descriptor deprecated 

func (*UpdateTensorboardOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardOperationMetadata.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardOperationMetadata) GetGenericMetadata 

func (x *UpdateTensorboardOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UpdateTensorboardOperationMetadata) ProtoMessage 

func (*UpdateTensorboardOperationMetadata) ProtoMessage()

func (*UpdateTensorboardOperationMetadata) ProtoReflect 

func (x *UpdateTensorboardOperationMetadata) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardOperationMetadata) Reset 

func (x *UpdateTensorboardOperationMetadata) Reset()

func (*UpdateTensorboardOperationMetadata) String 

func (x *UpdateTensorboardOperationMetadata) String() string

type UpdateTensorboardRequest 

type UpdateTensorboardRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// Tensorboard resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then all fields will be overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The Tensorboard's `name` field is used to identify the
	// Tensorboard to be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
	Tensorboard *Tensorboard `protobuf:"bytes,2,opt,name=tensorboard,proto3" json:"tensorboard,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].

func (*UpdateTensorboardRequest) Descriptor deprecated 

func (*UpdateTensorboardRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardRequest) GetTensorboard 

func (x *UpdateTensorboardRequest) GetTensorboard() *Tensorboard

func (*UpdateTensorboardRequest) GetUpdateMask 

func (x *UpdateTensorboardRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardRequest) ProtoMessage 

func (*UpdateTensorboardRequest) ProtoMessage()

func (*UpdateTensorboardRequest) ProtoReflect 

func (x *UpdateTensorboardRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardRequest) Reset 

func (x *UpdateTensorboardRequest) Reset()

func (*UpdateTensorboardRequest) String 

func (x *UpdateTensorboardRequest) String() string

type UpdateTensorboardRunRequest 

type UpdateTensorboardRunRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardRun resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then all fields will be overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
	// be updated. Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	TensorboardRun *TensorboardRun `protobuf:"bytes,2,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].

func (*UpdateTensorboardRunRequest) Descriptor deprecated 

func (*UpdateTensorboardRunRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardRunRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardRunRequest) GetTensorboardRun 

func (x *UpdateTensorboardRunRequest) GetTensorboardRun() *TensorboardRun

func (*UpdateTensorboardRunRequest) GetUpdateMask 

func (x *UpdateTensorboardRunRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardRunRequest) ProtoMessage 

func (*UpdateTensorboardRunRequest) ProtoMessage()

func (*UpdateTensorboardRunRequest) ProtoReflect 

func (x *UpdateTensorboardRunRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardRunRequest) Reset 

func (x *UpdateTensorboardRunRequest) Reset()

func (*UpdateTensorboardRunRequest) String 

func (x *UpdateTensorboardRunRequest) String() string

type UpdateTensorboardTimeSeriesRequest 

type UpdateTensorboardTimeSeriesRequest struct {

	// Required. Field mask is used to specify the fields to be overwritten in the
	// TensorboardTimeSeries resource by the update.
	// The fields specified in the update_mask are relative to the resource, not
	// the full request. A field will be overwritten if it is in the mask. If the
	// user does not provide a mask then all fields will be overwritten if new
	// values are specified.
	UpdateMask *fieldmaskpb.FieldMask `protobuf:"bytes,1,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	// Required. The TensorboardTimeSeries' `name` field is used to identify the
	// TensorboardTimeSeries to be updated.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
	TensorboardTimeSeries *TensorboardTimeSeries `` /* 126-byte string literal not displayed */
	// contains filtered or unexported fields
}

Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].

func (*UpdateTensorboardTimeSeriesRequest) Descriptor deprecated 

func (*UpdateTensorboardTimeSeriesRequest) Descriptor() ([]byte, []int)

Deprecated: Use UpdateTensorboardTimeSeriesRequest.ProtoReflect.Descriptor instead.

func (*UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries 

func (x *UpdateTensorboardTimeSeriesRequest) GetTensorboardTimeSeries() *TensorboardTimeSeries

func (*UpdateTensorboardTimeSeriesRequest) GetUpdateMask 

func (x *UpdateTensorboardTimeSeriesRequest) GetUpdateMask() *fieldmaskpb.FieldMask

func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage 

func (*UpdateTensorboardTimeSeriesRequest) ProtoMessage()

func (*UpdateTensorboardTimeSeriesRequest) ProtoReflect 

func (x *UpdateTensorboardTimeSeriesRequest) ProtoReflect() protoreflect.Message

func (*UpdateTensorboardTimeSeriesRequest) Reset 

func (x *UpdateTensorboardTimeSeriesRequest) Reset()

func (*UpdateTensorboardTimeSeriesRequest) String 

func (x *UpdateTensorboardTimeSeriesRequest) String() string

type UploadModelOperationMetadata 

type UploadModelOperationMetadata struct {

	// The common part of the operation metadata.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	// contains filtered or unexported fields
}

Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.

func (*UploadModelOperationMetadata) Descriptor deprecated 

func (*UploadModelOperationMetadata) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelOperationMetadata.ProtoReflect.Descriptor instead.

func (*UploadModelOperationMetadata) GetGenericMetadata 

func (x *UploadModelOperationMetadata) GetGenericMetadata() *GenericOperationMetadata

func (*UploadModelOperationMetadata) ProtoMessage 

func (*UploadModelOperationMetadata) ProtoMessage()

func (*UploadModelOperationMetadata) ProtoReflect 

func (x *UploadModelOperationMetadata) ProtoReflect() protoreflect.Message

func (*UploadModelOperationMetadata) Reset 

func (x *UploadModelOperationMetadata) Reset()

func (*UploadModelOperationMetadata) String 

func (x *UploadModelOperationMetadata) String() string

type UploadModelRequest 

type UploadModelRequest struct {

	// Required. The resource name of the Location into which to upload the Model.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The Model to create.
	Model *Model `protobuf:"bytes,2,opt,name=model,proto3" json:"model,omitempty"`
	// contains filtered or unexported fields
}

Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].

func (*UploadModelRequest) Descriptor deprecated 

func (*UploadModelRequest) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelRequest.ProtoReflect.Descriptor instead.

func (*UploadModelRequest) GetModel 

func (x *UploadModelRequest) GetModel() *Model

func (*UploadModelRequest) GetParent 

func (x *UploadModelRequest) GetParent() string

func (*UploadModelRequest) ProtoMessage 

func (*UploadModelRequest) ProtoMessage()

func (*UploadModelRequest) ProtoReflect 

func (x *UploadModelRequest) ProtoReflect() protoreflect.Message

func (*UploadModelRequest) Reset 

func (x *UploadModelRequest) Reset()

func (*UploadModelRequest) String 

func (x *UploadModelRequest) String() string

type UploadModelResponse 

type UploadModelResponse struct {

	// The name of the uploaded Model resource.
	// Format: `projects/{project}/locations/{location}/models/{model}`
	Model string `protobuf:"bytes,1,opt,name=model,proto3" json:"model,omitempty"`
	// contains filtered or unexported fields
}

Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.

func (*UploadModelResponse) Descriptor deprecated 

func (*UploadModelResponse) Descriptor() ([]byte, []int)

Deprecated: Use UploadModelResponse.ProtoReflect.Descriptor instead.

func (*UploadModelResponse) GetModel 

func (x *UploadModelResponse) GetModel() string

func (*UploadModelResponse) ProtoMessage 

func (*UploadModelResponse) ProtoMessage()

func (*UploadModelResponse) ProtoReflect 

func (x *UploadModelResponse) ProtoReflect() protoreflect.Message

func (*UploadModelResponse) Reset 

func (x *UploadModelResponse) Reset()

func (*UploadModelResponse) String 

func (x *UploadModelResponse) String() string

type UserActionReference 

type UserActionReference struct {

	// Types that are assignable to Reference:
	//	*UserActionReference_Operation
	//	*UserActionReference_DataLabelingJob
	Reference isUserActionReference_Reference `protobuf_oneof:"reference"`
	// The method name of the API RPC call. For example,
	// "/google.cloud.aiplatform.{apiVersion}.DatasetService.CreateDataset"
	Method string `protobuf:"bytes,3,opt,name=method,proto3" json:"method,omitempty"`
	// contains filtered or unexported fields
}

References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.

func (*UserActionReference) Descriptor deprecated 

func (*UserActionReference) Descriptor() ([]byte, []int)

Deprecated: Use UserActionReference.ProtoReflect.Descriptor instead.

func (*UserActionReference) GetDataLabelingJob 

func (x *UserActionReference) GetDataLabelingJob() string

func (*UserActionReference) GetMethod 

func (x *UserActionReference) GetMethod() string

func (*UserActionReference) GetOperation 

func (x *UserActionReference) GetOperation() string

func (*UserActionReference) GetReference 

func (m *UserActionReference) GetReference() isUserActionReference_Reference

func (*UserActionReference) ProtoMessage 

func (*UserActionReference) ProtoMessage()

func (*UserActionReference) ProtoReflect 

func (x *UserActionReference) ProtoReflect() protoreflect.Message

func (*UserActionReference) Reset 

func (x *UserActionReference) Reset()

func (*UserActionReference) String 

func (x *UserActionReference) String() string

type UserActionReference_DataLabelingJob 

type UserActionReference_DataLabelingJob struct {
	// For API calls that start a LabelingJob.
	// Resource name of the LabelingJob.
	// Format:
	// 'projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}'
	DataLabelingJob string `protobuf:"bytes,2,opt,name=data_labeling_job,json=dataLabelingJob,proto3,oneof"`
}

type UserActionReference_Operation 

type UserActionReference_Operation struct {
	// For API calls that return a long running operation.
	// Resource name of the long running operation.
	// Format:
	// 'projects/{project}/locations/{location}/operations/{operation}'
	Operation string `protobuf:"bytes,1,opt,name=operation,proto3,oneof"`
}

type Value 

type Value struct {

	// Types that are assignable to Value:
	//	*Value_IntValue
	//	*Value_DoubleValue
	//	*Value_StringValue
	Value isValue_Value `protobuf_oneof:"value"`
	// contains filtered or unexported fields
}

Value is the value of the field.

func (*Value) Descriptor deprecated 

func (*Value) Descriptor() ([]byte, []int)

Deprecated: Use Value.ProtoReflect.Descriptor instead.

func (*Value) GetDoubleValue 

func (x *Value) GetDoubleValue() float64

func (*Value) GetIntValue 

func (x *Value) GetIntValue() int64

func (*Value) GetStringValue 

func (x *Value) GetStringValue() string

func (*Value) GetValue 

func (m *Value) GetValue() isValue_Value

func (*Value) ProtoMessage 

func (*Value) ProtoMessage()

func (*Value) ProtoReflect 

func (x *Value) ProtoReflect() protoreflect.Message

func (*Value) Reset 

func (x *Value) Reset()

func (*Value) String 

func (x *Value) String() string

type Value_DoubleValue 

type Value_DoubleValue struct {
	// A double value.
	DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}

type Value_IntValue 

type Value_IntValue struct {
	// An integer value.
	IntValue int64 `protobuf:"varint,1,opt,name=int_value,json=intValue,proto3,oneof"`
}

type Value_StringValue 

type Value_StringValue struct {
	// A string value.
	StringValue string `protobuf:"bytes,3,opt,name=string_value,json=stringValue,proto3,oneof"`
}

type VizierServiceClient 

type VizierServiceClient interface {
	// Creates a Study. A resource name will be generated after creation of the
	// Study.
	CreateStudy(ctx context.Context, in *CreateStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Gets a Study by name.
	GetStudy(ctx context.Context, in *GetStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Lists all the studies in a region for an associated project.
	ListStudies(ctx context.Context, in *ListStudiesRequest, opts ...grpc.CallOption) (*ListStudiesResponse, error)
	// Deletes a Study.
	DeleteStudy(ctx context.Context, in *DeleteStudyRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Looks a study up using the user-defined display_name field instead of the
	// fully qualified resource name.
	LookupStudy(ctx context.Context, in *LookupStudyRequest, opts ...grpc.CallOption) (*Study, error)
	// Adds one or more Trials to a Study, with parameter values
	// suggested by Vertex Vizier. Returns a long-running
	// operation associated with the generation of Trial suggestions.
	// When this long-running operation succeeds, it will contain
	// a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
	SuggestTrials(ctx context.Context, in *SuggestTrialsRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Adds a user provided Trial to a Study.
	CreateTrial(ctx context.Context, in *CreateTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Gets a Trial.
	GetTrial(ctx context.Context, in *GetTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Lists the Trials associated with a Study.
	ListTrials(ctx context.Context, in *ListTrialsRequest, opts ...grpc.CallOption) (*ListTrialsResponse, error)
	// Adds a measurement of the objective metrics to a Trial. This measurement
	// is assumed to have been taken before the Trial is complete.
	AddTrialMeasurement(ctx context.Context, in *AddTrialMeasurementRequest, opts ...grpc.CallOption) (*Trial, error)
	// Marks a Trial as complete.
	CompleteTrial(ctx context.Context, in *CompleteTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Deletes a Trial.
	DeleteTrial(ctx context.Context, in *DeleteTrialRequest, opts ...grpc.CallOption) (*emptypb.Empty, error)
	// Checks  whether a Trial should stop or not. Returns a
	// long-running operation. When the operation is successful,
	// it will contain a
	// [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
	CheckTrialEarlyStoppingState(ctx context.Context, in *CheckTrialEarlyStoppingStateRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Stops a Trial.
	StopTrial(ctx context.Context, in *StopTrialRequest, opts ...grpc.CallOption) (*Trial, error)
	// Lists the pareto-optimal Trials for multi-objective Study or the
	// optimal Trials for single-objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	ListOptimalTrials(ctx context.Context, in *ListOptimalTrialsRequest, opts ...grpc.CallOption) (*ListOptimalTrialsResponse, error)
}

VizierServiceClient is the client API for VizierService service.

For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.

func NewVizierServiceClient 

func NewVizierServiceClient(cc grpc.ClientConnInterface) VizierServiceClient

type VizierServiceServer 

type VizierServiceServer interface {
	// Creates a Study. A resource name will be generated after creation of the
	// Study.
	CreateStudy(context.Context, *CreateStudyRequest) (*Study, error)
	// Gets a Study by name.
	GetStudy(context.Context, *GetStudyRequest) (*Study, error)
	// Lists all the studies in a region for an associated project.
	ListStudies(context.Context, *ListStudiesRequest) (*ListStudiesResponse, error)
	// Deletes a Study.
	DeleteStudy(context.Context, *DeleteStudyRequest) (*emptypb.Empty, error)
	// Looks a study up using the user-defined display_name field instead of the
	// fully qualified resource name.
	LookupStudy(context.Context, *LookupStudyRequest) (*Study, error)
	// Adds one or more Trials to a Study, with parameter values
	// suggested by Vertex Vizier. Returns a long-running
	// operation associated with the generation of Trial suggestions.
	// When this long-running operation succeeds, it will contain
	// a [SuggestTrialsResponse][google.cloud.ml.v1.SuggestTrialsResponse].
	SuggestTrials(context.Context, *SuggestTrialsRequest) (*longrunning.Operation, error)
	// Adds a user provided Trial to a Study.
	CreateTrial(context.Context, *CreateTrialRequest) (*Trial, error)
	// Gets a Trial.
	GetTrial(context.Context, *GetTrialRequest) (*Trial, error)
	// Lists the Trials associated with a Study.
	ListTrials(context.Context, *ListTrialsRequest) (*ListTrialsResponse, error)
	// Adds a measurement of the objective metrics to a Trial. This measurement
	// is assumed to have been taken before the Trial is complete.
	AddTrialMeasurement(context.Context, *AddTrialMeasurementRequest) (*Trial, error)
	// Marks a Trial as complete.
	CompleteTrial(context.Context, *CompleteTrialRequest) (*Trial, error)
	// Deletes a Trial.
	DeleteTrial(context.Context, *DeleteTrialRequest) (*emptypb.Empty, error)
	// Checks  whether a Trial should stop or not. Returns a
	// long-running operation. When the operation is successful,
	// it will contain a
	// [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
	CheckTrialEarlyStoppingState(context.Context, *CheckTrialEarlyStoppingStateRequest) (*longrunning.Operation, error)
	// Stops a Trial.
	StopTrial(context.Context, *StopTrialRequest) (*Trial, error)
	// Lists the pareto-optimal Trials for multi-objective Study or the
	// optimal Trials for single-objective Study. The definition of
	// pareto-optimal can be checked in wiki page.
	// https://en.wikipedia.org/wiki/Pareto_efficiency
	ListOptimalTrials(context.Context, *ListOptimalTrialsRequest) (*ListOptimalTrialsResponse, error)
}

VizierServiceServer is the server API for VizierService service.

type WorkerPoolSpec 

type WorkerPoolSpec struct {

	// The custom task to be executed in this worker pool.
	//
	// Types that are assignable to Task:
	//	*WorkerPoolSpec_ContainerSpec
	//	*WorkerPoolSpec_PythonPackageSpec
	Task isWorkerPoolSpec_Task `protobuf_oneof:"task"`
	// Optional. Immutable. The specification of a single machine.
	MachineSpec *MachineSpec `protobuf:"bytes,1,opt,name=machine_spec,json=machineSpec,proto3" json:"machine_spec,omitempty"`
	// Optional. The number of worker replicas to use for this worker pool.
	ReplicaCount int64 `protobuf:"varint,2,opt,name=replica_count,json=replicaCount,proto3" json:"replica_count,omitempty"`
	// Disk spec.
	DiskSpec *DiskSpec `protobuf:"bytes,5,opt,name=disk_spec,json=diskSpec,proto3" json:"disk_spec,omitempty"`
	// contains filtered or unexported fields
}

Represents the spec of a worker pool in a job.

func (*WorkerPoolSpec) Descriptor deprecated 

func (*WorkerPoolSpec) Descriptor() ([]byte, []int)

Deprecated: Use WorkerPoolSpec.ProtoReflect.Descriptor instead.

func (*WorkerPoolSpec) GetContainerSpec 

func (x *WorkerPoolSpec) GetContainerSpec() *ContainerSpec

func (*WorkerPoolSpec) GetDiskSpec 

func (x *WorkerPoolSpec) GetDiskSpec() *DiskSpec

func (*WorkerPoolSpec) GetMachineSpec 

func (x *WorkerPoolSpec) GetMachineSpec() *MachineSpec

func (*WorkerPoolSpec) GetPythonPackageSpec 

func (x *WorkerPoolSpec) GetPythonPackageSpec() *PythonPackageSpec

func (*WorkerPoolSpec) GetReplicaCount 

func (x *WorkerPoolSpec) GetReplicaCount() int64

func (*WorkerPoolSpec) GetTask 

func (m *WorkerPoolSpec) GetTask() isWorkerPoolSpec_Task

func (*WorkerPoolSpec) ProtoMessage 

func (*WorkerPoolSpec) ProtoMessage()

func (*WorkerPoolSpec) ProtoReflect 

func (x *WorkerPoolSpec) ProtoReflect() protoreflect.Message

func (*WorkerPoolSpec) Reset 

func (x *WorkerPoolSpec) Reset()

func (*WorkerPoolSpec) String 

func (x *WorkerPoolSpec) String() string

type WorkerPoolSpec_ContainerSpec 

type WorkerPoolSpec_ContainerSpec struct {
	// The custom container task.
	ContainerSpec *ContainerSpec `protobuf:"bytes,6,opt,name=container_spec,json=containerSpec,proto3,oneof"`
}

type WorkerPoolSpec_PythonPackageSpec 

type WorkerPoolSpec_PythonPackageSpec struct {
	// The Python packaged task.
	PythonPackageSpec *PythonPackageSpec `protobuf:"bytes,7,opt,name=python_package_spec,json=pythonPackageSpec,proto3,oneof"`
}

type WriteTensorboardRunDataRequest 

type WriteTensorboardRunDataRequest struct {

	// Required. The resource name of the TensorboardRun to write data to.
	// Format:
	// `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
	TensorboardRun string `protobuf:"bytes,1,opt,name=tensorboard_run,json=tensorboardRun,proto3" json:"tensorboard_run,omitempty"`
	// Required. The TensorboardTimeSeries data to write.
	// Values with in a time series are indexed by their step value.
	// Repeated writes to the same step will overwrite the existing value for that
	// step.
	// The upper limit of data points per write request is 5000.
	TimeSeriesData []*TimeSeriesData `protobuf:"bytes,2,rep,name=time_series_data,json=timeSeriesData,proto3" json:"time_series_data,omitempty"`
	// contains filtered or unexported fields
}

Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].

func (*WriteTensorboardRunDataRequest) Descriptor deprecated 

func (*WriteTensorboardRunDataRequest) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardRunDataRequest.ProtoReflect.Descriptor instead.

func (*WriteTensorboardRunDataRequest) GetTensorboardRun 

func (x *WriteTensorboardRunDataRequest) GetTensorboardRun() string

func (*WriteTensorboardRunDataRequest) GetTimeSeriesData 

func (x *WriteTensorboardRunDataRequest) GetTimeSeriesData() []*TimeSeriesData

func (*WriteTensorboardRunDataRequest) ProtoMessage 

func (*WriteTensorboardRunDataRequest) ProtoMessage()

func (*WriteTensorboardRunDataRequest) ProtoReflect 

func (x *WriteTensorboardRunDataRequest) ProtoReflect() protoreflect.Message

func (*WriteTensorboardRunDataRequest) Reset 

func (x *WriteTensorboardRunDataRequest) Reset()

func (*WriteTensorboardRunDataRequest) String 

func (x *WriteTensorboardRunDataRequest) String() string

type WriteTensorboardRunDataResponse 

type WriteTensorboardRunDataResponse struct {
	// contains filtered or unexported fields
}

Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].

func (*WriteTensorboardRunDataResponse) Descriptor deprecated 

func (*WriteTensorboardRunDataResponse) Descriptor() ([]byte, []int)

Deprecated: Use WriteTensorboardRunDataResponse.ProtoReflect.Descriptor instead.

func (*WriteTensorboardRunDataResponse) ProtoMessage 

func (*WriteTensorboardRunDataResponse) ProtoMessage()

func (*WriteTensorboardRunDataResponse) ProtoReflect 

func (x *WriteTensorboardRunDataResponse) ProtoReflect() protoreflect.Message

func (*WriteTensorboardRunDataResponse) Reset 

func (x *WriteTensorboardRunDataResponse) Reset()

func (*WriteTensorboardRunDataResponse) String 

func (x *WriteTensorboardRunDataResponse) String() string

type XraiAttribution 

type XraiAttribution struct {

	// Required. The number of steps for approximating the path integral.
	// A good value to start is 50 and gradually increase until the
	// sum to diff property is met within the desired error range.
	//
	// Valid range of its value is [1, 100], inclusively.
	StepCount int32 `protobuf:"varint,1,opt,name=step_count,json=stepCount,proto3" json:"step_count,omitempty"`
	// Config for SmoothGrad approximation of gradients.
	//
	// When enabled, the gradients are approximated by averaging the gradients
	// from noisy samples in the vicinity of the inputs. Adding
	// noise can help improve the computed gradients. Refer to this paper for more
	// details: https://arxiv.org/pdf/1706.03825.pdf
	SmoothGradConfig *SmoothGradConfig `protobuf:"bytes,2,opt,name=smooth_grad_config,json=smoothGradConfig,proto3" json:"smooth_grad_config,omitempty"`
	// contains filtered or unexported fields
}

An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825

Supported only by image Models.

func (*XraiAttribution) Descriptor deprecated 

func (*XraiAttribution) Descriptor() ([]byte, []int)

Deprecated: Use XraiAttribution.ProtoReflect.Descriptor instead.

func (*XraiAttribution) GetSmoothGradConfig 

func (x *XraiAttribution) GetSmoothGradConfig() *SmoothGradConfig

func (*XraiAttribution) GetStepCount 

func (x *XraiAttribution) GetStepCount() int32

func (*XraiAttribution) ProtoMessage 

func (*XraiAttribution) ProtoMessage()

func (*XraiAttribution) ProtoReflect 

func (x *XraiAttribution) ProtoReflect() protoreflect.Message

func (*XraiAttribution) Reset 

func (x *XraiAttribution) Reset()

func (*XraiAttribution) String 

func (x *XraiAttribution) String() string

Source Files

View all Source files

Directories

Path Synopsis
predict/instance
predict/params
predict/prediction
trainingjob/definition

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