automl

package
v0.0.0-...-2a72893 Latest Latest
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This package is not in the latest version of its module.

 Go to latest Published: Jul 26, 2018 License: Apache-2.0 Imports: 11 Imported by: 0

Documentation

Index

Constants

This section is empty.

Variables

View Source 
var ClassificationType_name = map[int32]string{
	0: "CLASSIFICATION_TYPE_UNSPECIFIED",
	1: "MULTICLASS",
	2: "MULTILABEL",
}
View Source 
var ClassificationType_value = map[string]int32{
	"CLASSIFICATION_TYPE_UNSPECIFIED": 0,
	"MULTICLASS":                      1,
	"MULTILABEL":                      2,
}
View Source 
var Model_DeploymentState_name = map[int32]string{
	0: "DEPLOYMENT_STATE_UNSPECIFIED",
	1: "DEPLOYED",
	2: "UNDEPLOYED",
}
View Source 
var Model_DeploymentState_value = map[string]int32{
	"DEPLOYMENT_STATE_UNSPECIFIED": 0,
	"DEPLOYED":                     1,
	"UNDEPLOYED":                   2,
}

Functions

func RegisterAutoMlServer 

func RegisterAutoMlServer(s *grpc.Server, srv AutoMlServer)

func RegisterPredictionServiceServer 

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

Types

type AnnotationPayload 

type AnnotationPayload struct {
	// Output only . Additional information about the annotation
	// specific to the AutoML solution.
	//
	// Types that are valid to be assigned to Detail:
	//	*AnnotationPayload_Translation
	//	*AnnotationPayload_Classification
	Detail isAnnotationPayload_Detail `protobuf_oneof:"detail"`
	// Output only . The resource ID of the annotation spec that
	// this annotation pertains to. The annotation spec comes from either an
	// ancestor dataset, or the dataset that was used to train the model in use.
	AnnotationSpecId string `protobuf:"bytes,1,opt,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"`
	// Output only. The value of [AnnotationSpec.display_name][google.cloud.automl.v1beta1.AnnotationSpec.display_name] when the model
	// was trained. Because this field returns a value at model training time,
	// for different models trained using the same dataset, the returned value
	// could be different as model owner could update the display_name between
	// any two model training.
	DisplayName          string   `protobuf:"bytes,5,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Contains annotation information that is relevant to AutoML.

func (*AnnotationPayload) Descriptor 

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

func (*AnnotationPayload) GetAnnotationSpecId 

func (m *AnnotationPayload) GetAnnotationSpecId() string

func (*AnnotationPayload) GetClassification 

func (m *AnnotationPayload) GetClassification() *ClassificationAnnotation

func (*AnnotationPayload) GetDetail 

func (m *AnnotationPayload) GetDetail() isAnnotationPayload_Detail

func (*AnnotationPayload) GetDisplayName 

func (m *AnnotationPayload) GetDisplayName() string

func (*AnnotationPayload) GetTranslation 

func (m *AnnotationPayload) GetTranslation() *TranslationAnnotation

func (*AnnotationPayload) ProtoMessage 

func (*AnnotationPayload) ProtoMessage()

func (*AnnotationPayload) Reset 

func (m *AnnotationPayload) Reset()

func (*AnnotationPayload) String 

func (m *AnnotationPayload) String() string

func (*AnnotationPayload) XXX_DiscardUnknown 

func (m *AnnotationPayload) XXX_DiscardUnknown()

func (*AnnotationPayload) XXX_Marshal 

func (m *AnnotationPayload) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*AnnotationPayload) XXX_Merge 

func (dst *AnnotationPayload) XXX_Merge(src proto.Message)

func (*AnnotationPayload) XXX_OneofFuncs 

func (*AnnotationPayload) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*AnnotationPayload) XXX_Size 

func (m *AnnotationPayload) XXX_Size() int

func (*AnnotationPayload) XXX_Unmarshal 

func (m *AnnotationPayload) XXX_Unmarshal(b []byte) error

type AnnotationPayload_Classification 

type AnnotationPayload_Classification struct {
	Classification *ClassificationAnnotation `protobuf:"bytes,3,opt,name=classification,proto3,oneof"`
}

type AnnotationPayload_Translation 

type AnnotationPayload_Translation struct {
	Translation *TranslationAnnotation `protobuf:"bytes,2,opt,name=translation,proto3,oneof"`
}

type AutoMlClient 

type AutoMlClient interface {
	// Creates a dataset.
	CreateDataset(ctx context.Context, in *CreateDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Gets a dataset.
	GetDataset(ctx context.Context, in *GetDatasetRequest, opts ...grpc.CallOption) (*Dataset, error)
	// Lists datasets in a project.
	ListDatasets(ctx context.Context, in *ListDatasetsRequest, opts ...grpc.CallOption) (*ListDatasetsResponse, error)
	// Deletes a dataset and all of its contents.
	// Returns empty response in the
	// [response][google.longrunning.Operation.response] field when it completes,
	// and `delete_details` in the
	// [metadata][google.longrunning.Operation.metadata] field.
	DeleteDataset(ctx context.Context, in *DeleteDatasetRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Imports data into a dataset.
	// Returns an empty response in the
	// [response][google.longrunning.Operation.response] field when it completes.
	ImportData(ctx context.Context, in *ImportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Exports dataset's data to a Google Cloud Storage bucket.
	// Returns an empty response in the
	// [response][google.longrunning.Operation.response] field when it completes.
	ExportData(ctx context.Context, in *ExportDataRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Creates a model.
	// Returns a Model in the [response][google.longrunning.Operation.response]
	// field when it completes.
	// When you create a model, several model evaluations are created for it:
	// a global evaluation, and one evaluation for each annotation spec.
	CreateModel(ctx context.Context, in *CreateModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a model.
	GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error)
	// Lists models.
	ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error)
	// Deletes a model.
	// If a model is already deployed, this only deletes the model in AutoML BE,
	// and does not change the status of the deployed model in the production
	// environment.
	// Returns `google.protobuf.Empty` in the
	// [response][google.longrunning.Operation.response] field when it completes,
	// and `delete_details` in the
	// [metadata][google.longrunning.Operation.metadata] field.
	DeleteModel(ctx context.Context, in *DeleteModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Deploys model.
	// Returns a [DeployModelResponse][] in the
	// [response][google.longrunning.Operation.response] field when it completes.
	DeployModel(ctx context.Context, in *DeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Undeploys model.
	// Returns an `UndeployModelResponse` in the
	// [response][google.longrunning.Operation.response] field when it completes.
	UndeployModel(ctx context.Context, in *UndeployModelRequest, opts ...grpc.CallOption) (*longrunning.Operation, error)
	// Gets a model evaluation.
	GetModelEvaluation(ctx context.Context, in *GetModelEvaluationRequest, opts ...grpc.CallOption) (*ModelEvaluation, error)
	// Lists model evaluations.
	ListModelEvaluations(ctx context.Context, in *ListModelEvaluationsRequest, opts ...grpc.CallOption) (*ListModelEvaluationsResponse, error)
}

AutoMlClient is the client API for AutoMl service.

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

func NewAutoMlClient 

func NewAutoMlClient(cc *grpc.ClientConn) AutoMlClient

type AutoMlServer 

type AutoMlServer interface {
	// Creates a dataset.
	CreateDataset(context.Context, *CreateDatasetRequest) (*Dataset, error)
	// Gets a dataset.
	GetDataset(context.Context, *GetDatasetRequest) (*Dataset, error)
	// Lists datasets in a project.
	ListDatasets(context.Context, *ListDatasetsRequest) (*ListDatasetsResponse, error)
	// Deletes a dataset and all of its contents.
	// Returns empty response in the
	// [response][google.longrunning.Operation.response] field when it completes,
	// and `delete_details` in the
	// [metadata][google.longrunning.Operation.metadata] field.
	DeleteDataset(context.Context, *DeleteDatasetRequest) (*longrunning.Operation, error)
	// Imports data into a dataset.
	// Returns an empty response in the
	// [response][google.longrunning.Operation.response] field when it completes.
	ImportData(context.Context, *ImportDataRequest) (*longrunning.Operation, error)
	// Exports dataset's data to a Google Cloud Storage bucket.
	// Returns an empty response in the
	// [response][google.longrunning.Operation.response] field when it completes.
	ExportData(context.Context, *ExportDataRequest) (*longrunning.Operation, error)
	// Creates a model.
	// Returns a Model in the [response][google.longrunning.Operation.response]
	// field when it completes.
	// When you create a model, several model evaluations are created for it:
	// a global evaluation, and one evaluation for each annotation spec.
	CreateModel(context.Context, *CreateModelRequest) (*longrunning.Operation, error)
	// Gets a model.
	GetModel(context.Context, *GetModelRequest) (*Model, error)
	// Lists models.
	ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
	// Deletes a model.
	// If a model is already deployed, this only deletes the model in AutoML BE,
	// and does not change the status of the deployed model in the production
	// environment.
	// Returns `google.protobuf.Empty` in the
	// [response][google.longrunning.Operation.response] field when it completes,
	// and `delete_details` in the
	// [metadata][google.longrunning.Operation.metadata] field.
	DeleteModel(context.Context, *DeleteModelRequest) (*longrunning.Operation, error)
	// Deploys model.
	// Returns a [DeployModelResponse][] in the
	// [response][google.longrunning.Operation.response] field when it completes.
	DeployModel(context.Context, *DeployModelRequest) (*longrunning.Operation, error)
	// Undeploys model.
	// Returns an `UndeployModelResponse` in the
	// [response][google.longrunning.Operation.response] field when it completes.
	UndeployModel(context.Context, *UndeployModelRequest) (*longrunning.Operation, error)
	// Gets a model evaluation.
	GetModelEvaluation(context.Context, *GetModelEvaluationRequest) (*ModelEvaluation, error)
	// Lists model evaluations.
	ListModelEvaluations(context.Context, *ListModelEvaluationsRequest) (*ListModelEvaluationsResponse, error)
}

AutoMlServer is the server API for AutoMl service.

type ClassificationAnnotation 

type ClassificationAnnotation struct {
	// Output only. A confidence estimate between 0.0 and 1.0. A higher value
	// means greater confidence that the annotation is positive. If a user
	// approves an annotation as negative or positive, the score value remains
	// unchanged. If a user creates an annotation, the score is 0 for negative or
	// 1 for positive.
	Score                float32  `protobuf:"fixed32,1,opt,name=score,proto3" json:"score,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Contains annotation details specific to classification.

func (*ClassificationAnnotation) Descriptor 

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

func (*ClassificationAnnotation) GetScore 

func (m *ClassificationAnnotation) GetScore() float32

func (*ClassificationAnnotation) ProtoMessage 

func (*ClassificationAnnotation) ProtoMessage()

func (*ClassificationAnnotation) Reset 

func (m *ClassificationAnnotation) Reset()

func (*ClassificationAnnotation) String 

func (m *ClassificationAnnotation) String() string

func (*ClassificationAnnotation) XXX_DiscardUnknown 

func (m *ClassificationAnnotation) XXX_DiscardUnknown()

func (*ClassificationAnnotation) XXX_Marshal 

func (m *ClassificationAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ClassificationAnnotation) XXX_Merge 

func (dst *ClassificationAnnotation) XXX_Merge(src proto.Message)

func (*ClassificationAnnotation) XXX_Size 

func (m *ClassificationAnnotation) XXX_Size() int

func (*ClassificationAnnotation) XXX_Unmarshal 

func (m *ClassificationAnnotation) XXX_Unmarshal(b []byte) error

type ClassificationEvaluationMetrics 

type ClassificationEvaluationMetrics struct {
	// Output only. The Area under precision recall curve metric.
	AuPrc float32 `protobuf:"fixed32,1,opt,name=au_prc,json=auPrc,proto3" json:"au_prc,omitempty"`
	// Output only. The Area under precision recall curve metric based on priors.
	BaseAuPrc float32 `protobuf:"fixed32,2,opt,name=base_au_prc,json=baseAuPrc,proto3" json:"base_au_prc,omitempty"`
	// Output only. Metrics that have confidence thresholds.
	// Precision-recall curve can be derived from it.
	ConfidenceMetricsEntry []*ClassificationEvaluationMetrics_ConfidenceMetricsEntry `` /* 129-byte string literal not displayed */
	// Output only. Confusion matrix of the evaluation.
	// Only set for MULTICLASS classification problems where number
	// of labels is no more than 10.
	// Only set for model level evaluation, not for evaluation per label.
	ConfusionMatrix *ClassificationEvaluationMetrics_ConfusionMatrix `protobuf:"bytes,4,opt,name=confusion_matrix,json=confusionMatrix,proto3" json:"confusion_matrix,omitempty"`
	// Output only. The annotation spec ids used for this evaluation.
	AnnotationSpecId     []string `protobuf:"bytes,5,rep,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Model evaluation metrics for classification problems. Visible only to v1beta1

func (*ClassificationEvaluationMetrics) Descriptor 

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

func (*ClassificationEvaluationMetrics) GetAnnotationSpecId 

func (m *ClassificationEvaluationMetrics) GetAnnotationSpecId() []string

func (*ClassificationEvaluationMetrics) GetAuPrc 

func (m *ClassificationEvaluationMetrics) GetAuPrc() float32

func (*ClassificationEvaluationMetrics) GetBaseAuPrc 

func (m *ClassificationEvaluationMetrics) GetBaseAuPrc() float32

func (*ClassificationEvaluationMetrics) GetConfidenceMetricsEntry 

func (m *ClassificationEvaluationMetrics) GetConfidenceMetricsEntry() []*ClassificationEvaluationMetrics_ConfidenceMetricsEntry

func (*ClassificationEvaluationMetrics) GetConfusionMatrix 

func (m *ClassificationEvaluationMetrics) GetConfusionMatrix() *ClassificationEvaluationMetrics_ConfusionMatrix

func (*ClassificationEvaluationMetrics) ProtoMessage 

func (*ClassificationEvaluationMetrics) ProtoMessage()

func (*ClassificationEvaluationMetrics) Reset 

func (m *ClassificationEvaluationMetrics) Reset()

func (*ClassificationEvaluationMetrics) String 

func (m *ClassificationEvaluationMetrics) String() string

func (*ClassificationEvaluationMetrics) XXX_DiscardUnknown 

func (m *ClassificationEvaluationMetrics) XXX_DiscardUnknown()

func (*ClassificationEvaluationMetrics) XXX_Marshal 

func (m *ClassificationEvaluationMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ClassificationEvaluationMetrics) XXX_Merge 

func (dst *ClassificationEvaluationMetrics) XXX_Merge(src proto.Message)

func (*ClassificationEvaluationMetrics) XXX_Size 

func (m *ClassificationEvaluationMetrics) XXX_Size() int

func (*ClassificationEvaluationMetrics) XXX_Unmarshal 

func (m *ClassificationEvaluationMetrics) XXX_Unmarshal(b []byte) error

type ClassificationEvaluationMetrics_ConfidenceMetricsEntry 

type ClassificationEvaluationMetrics_ConfidenceMetricsEntry struct {
	// Output only. The confidence threshold value used to compute the metrics.
	ConfidenceThreshold float32 `protobuf:"fixed32,1,opt,name=confidence_threshold,json=confidenceThreshold,proto3" json:"confidence_threshold,omitempty"`
	// Output only. Recall under the given confidence threshold.
	Recall float32 `protobuf:"fixed32,2,opt,name=recall,proto3" json:"recall,omitempty"`
	// Output only. Precision under the given confidence threshold.
	Precision float32 `protobuf:"fixed32,3,opt,name=precision,proto3" json:"precision,omitempty"`
	// Output only. The harmonic mean of recall and precision.
	F1Score float32 `protobuf:"fixed32,4,opt,name=f1_score,json=f1Score,proto3" json:"f1_score,omitempty"`
	// Output only. The recall when only considering the label that has the
	// highest prediction score and not below the confidence threshold for each
	// example.
	RecallAt1 float32 `protobuf:"fixed32,5,opt,name=recall_at1,json=recallAt1,proto3" json:"recall_at1,omitempty"`
	// Output only. The precision when only considering the label that has the
	// highest predictionscore and not below the confidence threshold for each
	// example.
	PrecisionAt1 float32 `protobuf:"fixed32,6,opt,name=precision_at1,json=precisionAt1,proto3" json:"precision_at1,omitempty"`
	// Output only. The harmonic mean of [recall_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry.precision_at1].
	F1ScoreAt1           float32  `protobuf:"fixed32,7,opt,name=f1_score_at1,json=f1ScoreAt1,proto3" json:"f1_score_at1,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Metrics for a single confidence threshold.

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) Descriptor 

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

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetConfidenceThreshold 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetConfidenceThreshold() float32

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetF1Score 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetF1Score() float32

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetF1ScoreAt1 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetF1ScoreAt1() float32

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetPrecision 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetPrecision() float32

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetPrecisionAt1 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetPrecisionAt1() float32

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetRecall 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetRecall() float32

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetRecallAt1 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) GetRecallAt1() float32

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) ProtoMessage 

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) ProtoMessage()

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) Reset 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) Reset()

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) String 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) String() string

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_DiscardUnknown 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_DiscardUnknown()

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Marshal 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Merge 

func (dst *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Merge(src proto.Message)

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Size 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Size() int

func (*ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Unmarshal 

func (m *ClassificationEvaluationMetrics_ConfidenceMetricsEntry) XXX_Unmarshal(b []byte) error

type ClassificationEvaluationMetrics_ConfusionMatrix 

type ClassificationEvaluationMetrics_ConfusionMatrix struct {
	// Output only. IDs of the annotation specs used in the confusion matrix.
	AnnotationSpecId []string `protobuf:"bytes,1,rep,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"`
	// Output only. Rows in the confusion matrix. The number of rows is equal to
	// the size of `annotation_spec_id`.
	// `row[i].value[j]` is the number of examples that have ground truth of the
	// `annotation_spec_id[i]` and are predicted as `annotation_spec_id[j]` by
	// the model being evaluated.
	Row                  []*ClassificationEvaluationMetrics_ConfusionMatrix_Row `protobuf:"bytes,2,rep,name=row,proto3" json:"row,omitempty"`
	XXX_NoUnkeyedLiteral struct{}                                               `json:"-"`
	XXX_unrecognized     []byte                                                 `json:"-"`
	XXX_sizecache        int32                                                  `json:"-"`
}

Confusion matrix of the model running the classification.

func (*ClassificationEvaluationMetrics_ConfusionMatrix) Descriptor 

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

func (*ClassificationEvaluationMetrics_ConfusionMatrix) GetAnnotationSpecId 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) GetAnnotationSpecId() []string

func (*ClassificationEvaluationMetrics_ConfusionMatrix) GetRow 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) GetRow() []*ClassificationEvaluationMetrics_ConfusionMatrix_Row

func (*ClassificationEvaluationMetrics_ConfusionMatrix) ProtoMessage 

func (*ClassificationEvaluationMetrics_ConfusionMatrix) ProtoMessage()

func (*ClassificationEvaluationMetrics_ConfusionMatrix) Reset 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) Reset()

func (*ClassificationEvaluationMetrics_ConfusionMatrix) String 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) String() string

func (*ClassificationEvaluationMetrics_ConfusionMatrix) XXX_DiscardUnknown 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) XXX_DiscardUnknown()

func (*ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Marshal 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Merge 

func (dst *ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Merge(src proto.Message)

func (*ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Size 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Size() int

func (*ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Unmarshal 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix) XXX_Unmarshal(b []byte) error

type ClassificationEvaluationMetrics_ConfusionMatrix_Row 

type ClassificationEvaluationMetrics_ConfusionMatrix_Row struct {
	// Output only. Value of the specific cell in the confusion matrix.
	// The number of values each row is equal to the size of
	// annotatin_spec_id.
	ExampleCount         []int32  `protobuf:"varint,1,rep,packed,name=example_count,json=exampleCount,proto3" json:"example_count,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Output only. A row in the confusion matrix.

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) Descriptor 

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

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) GetExampleCount 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix_Row) GetExampleCount() []int32

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) ProtoMessage 

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) ProtoMessage()

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) Reset 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix_Row) Reset()

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) String 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix_Row) String() string

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_DiscardUnknown 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_DiscardUnknown()

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Marshal 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Merge 

func (dst *ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Merge(src proto.Message)

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Size 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Size() int

func (*ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Unmarshal 

func (m *ClassificationEvaluationMetrics_ConfusionMatrix_Row) XXX_Unmarshal(b []byte) error

type ClassificationType 

type ClassificationType int32

Type of the classification problem. 

const (
	// Should not be used, an un-set enum has this value by default.
	ClassificationType_CLASSIFICATION_TYPE_UNSPECIFIED ClassificationType = 0
	// At most one label is allowed per example.
	ClassificationType_MULTICLASS ClassificationType = 1
	// Multiple labels are allowed for one example.
	ClassificationType_MULTILABEL ClassificationType = 2
)

func (ClassificationType) EnumDescriptor 

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

func (ClassificationType) String 

func (x ClassificationType) String() string

type CreateDatasetRequest 

type CreateDatasetRequest struct {
	// The resource name of the project to create the dataset for.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The dataset to create.
	Dataset              *Dataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].

func (*CreateDatasetRequest) Descriptor 

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

func (*CreateDatasetRequest) GetDataset 

func (m *CreateDatasetRequest) GetDataset() *Dataset

func (*CreateDatasetRequest) GetParent 

func (m *CreateDatasetRequest) GetParent() string

func (*CreateDatasetRequest) ProtoMessage 

func (*CreateDatasetRequest) ProtoMessage()

func (*CreateDatasetRequest) Reset 

func (m *CreateDatasetRequest) Reset()

func (*CreateDatasetRequest) String 

func (m *CreateDatasetRequest) String() string

func (*CreateDatasetRequest) XXX_DiscardUnknown 

func (m *CreateDatasetRequest) XXX_DiscardUnknown()

func (*CreateDatasetRequest) XXX_Marshal 

func (m *CreateDatasetRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*CreateDatasetRequest) XXX_Merge 

func (dst *CreateDatasetRequest) XXX_Merge(src proto.Message)

func (*CreateDatasetRequest) XXX_Size 

func (m *CreateDatasetRequest) XXX_Size() int

func (*CreateDatasetRequest) XXX_Unmarshal 

func (m *CreateDatasetRequest) XXX_Unmarshal(b []byte) error

type CreateModelOperationMetadata 

type CreateModelOperationMetadata struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Details of CreateModel operation.

func (*CreateModelOperationMetadata) Descriptor 

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

func (*CreateModelOperationMetadata) ProtoMessage 

func (*CreateModelOperationMetadata) ProtoMessage()

func (*CreateModelOperationMetadata) Reset 

func (m *CreateModelOperationMetadata) Reset()

func (*CreateModelOperationMetadata) String 

func (m *CreateModelOperationMetadata) String() string

func (*CreateModelOperationMetadata) XXX_DiscardUnknown 

func (m *CreateModelOperationMetadata) XXX_DiscardUnknown()

func (*CreateModelOperationMetadata) XXX_Marshal 

func (m *CreateModelOperationMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*CreateModelOperationMetadata) XXX_Merge 

func (dst *CreateModelOperationMetadata) XXX_Merge(src proto.Message)

func (*CreateModelOperationMetadata) XXX_Size 

func (m *CreateModelOperationMetadata) XXX_Size() int

func (*CreateModelOperationMetadata) XXX_Unmarshal 

func (m *CreateModelOperationMetadata) XXX_Unmarshal(b []byte) error

type CreateModelRequest 

type CreateModelRequest struct {
	// Resource name of the parent project where the model is being created.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The model to create.
	Model                *Model   `protobuf:"bytes,4,opt,name=model,proto3" json:"model,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].

func (*CreateModelRequest) Descriptor 

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

func (*CreateModelRequest) GetModel 

func (m *CreateModelRequest) GetModel() *Model

func (*CreateModelRequest) GetParent 

func (m *CreateModelRequest) GetParent() string

func (*CreateModelRequest) ProtoMessage 

func (*CreateModelRequest) ProtoMessage()

func (*CreateModelRequest) Reset 

func (m *CreateModelRequest) Reset()

func (*CreateModelRequest) String 

func (m *CreateModelRequest) String() string

func (*CreateModelRequest) XXX_DiscardUnknown 

func (m *CreateModelRequest) XXX_DiscardUnknown()

func (*CreateModelRequest) XXX_Marshal 

func (m *CreateModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*CreateModelRequest) XXX_Merge 

func (dst *CreateModelRequest) XXX_Merge(src proto.Message)

func (*CreateModelRequest) XXX_Size 

func (m *CreateModelRequest) XXX_Size() int

func (*CreateModelRequest) XXX_Unmarshal 

func (m *CreateModelRequest) XXX_Unmarshal(b []byte) error

type Dataset 

type Dataset struct {
	// Required.
	// The dataset metadata that is specific to the problem type.
	//
	// Types that are valid to be assigned to DatasetMetadata:
	//	*Dataset_TranslationDatasetMetadata
	//	*Dataset_ImageClassificationDatasetMetadata
	//	*Dataset_TextClassificationDatasetMetadata
	DatasetMetadata isDataset_DatasetMetadata `protobuf_oneof:"dataset_metadata"`
	// Output only. The resource name of the dataset.
	// Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The name of the dataset to show in the interface. The name can be
	// up to 32 characters
	// long and can consist only of ASCII Latin letters A-Z and a-z, underscores
	// (_), and ASCII digits 0-9.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. The number of examples in the dataset.
	ExampleCount int32 `protobuf:"varint,21,opt,name=example_count,json=exampleCount,proto3" json:"example_count,omitempty"`
	// Output only. Timestamp when this dataset was created.
	CreateTime           *timestamp.Timestamp `protobuf:"bytes,14,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	XXX_NoUnkeyedLiteral struct{}             `json:"-"`
	XXX_unrecognized     []byte               `json:"-"`
	XXX_sizecache        int32                `json:"-"`
}

A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.

func (*Dataset) Descriptor 

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

func (*Dataset) GetCreateTime 

func (m *Dataset) GetCreateTime() *timestamp.Timestamp

func (*Dataset) GetDatasetMetadata 

func (m *Dataset) GetDatasetMetadata() isDataset_DatasetMetadata

func (*Dataset) GetDisplayName 

func (m *Dataset) GetDisplayName() string

func (*Dataset) GetExampleCount 

func (m *Dataset) GetExampleCount() int32

func (*Dataset) GetImageClassificationDatasetMetadata 

func (m *Dataset) GetImageClassificationDatasetMetadata() *ImageClassificationDatasetMetadata

func (*Dataset) GetName 

func (m *Dataset) GetName() string

func (*Dataset) GetTextClassificationDatasetMetadata 

func (m *Dataset) GetTextClassificationDatasetMetadata() *TextClassificationDatasetMetadata

func (*Dataset) GetTranslationDatasetMetadata 

func (m *Dataset) GetTranslationDatasetMetadata() *TranslationDatasetMetadata

func (*Dataset) ProtoMessage 

func (*Dataset) ProtoMessage()

func (*Dataset) Reset 

func (m *Dataset) Reset()

func (*Dataset) String 

func (m *Dataset) String() string

func (*Dataset) XXX_DiscardUnknown 

func (m *Dataset) XXX_DiscardUnknown()

func (*Dataset) XXX_Marshal 

func (m *Dataset) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Dataset) XXX_Merge 

func (dst *Dataset) XXX_Merge(src proto.Message)

func (*Dataset) XXX_OneofFuncs 

func (*Dataset) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*Dataset) XXX_Size 

func (m *Dataset) XXX_Size() int

func (*Dataset) XXX_Unmarshal 

func (m *Dataset) XXX_Unmarshal(b []byte) error

type Dataset_ImageClassificationDatasetMetadata 

type Dataset_ImageClassificationDatasetMetadata struct {
	ImageClassificationDatasetMetadata *ImageClassificationDatasetMetadata `protobuf:"bytes,24,opt,name=image_classification_dataset_metadata,json=imageClassificationDatasetMetadata,proto3,oneof"`
}

type Dataset_TextClassificationDatasetMetadata 

type Dataset_TextClassificationDatasetMetadata struct {
	TextClassificationDatasetMetadata *TextClassificationDatasetMetadata `protobuf:"bytes,25,opt,name=text_classification_dataset_metadata,json=textClassificationDatasetMetadata,proto3,oneof"`
}

type Dataset_TranslationDatasetMetadata 

type Dataset_TranslationDatasetMetadata struct {
	TranslationDatasetMetadata *TranslationDatasetMetadata `protobuf:"bytes,23,opt,name=translation_dataset_metadata,json=translationDatasetMetadata,proto3,oneof"`
}

type DeleteDatasetRequest 

type DeleteDatasetRequest struct {
	// The resource name of the dataset to delete.
	Name                 string   `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].

func (*DeleteDatasetRequest) Descriptor 

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

func (*DeleteDatasetRequest) GetName 

func (m *DeleteDatasetRequest) GetName() string

func (*DeleteDatasetRequest) ProtoMessage 

func (*DeleteDatasetRequest) ProtoMessage()

func (*DeleteDatasetRequest) Reset 

func (m *DeleteDatasetRequest) Reset()

func (*DeleteDatasetRequest) String 

func (m *DeleteDatasetRequest) String() string

func (*DeleteDatasetRequest) XXX_DiscardUnknown 

func (m *DeleteDatasetRequest) XXX_DiscardUnknown()

func (*DeleteDatasetRequest) XXX_Marshal 

func (m *DeleteDatasetRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DeleteDatasetRequest) XXX_Merge 

func (dst *DeleteDatasetRequest) XXX_Merge(src proto.Message)

func (*DeleteDatasetRequest) XXX_Size 

func (m *DeleteDatasetRequest) XXX_Size() int

func (*DeleteDatasetRequest) XXX_Unmarshal 

func (m *DeleteDatasetRequest) XXX_Unmarshal(b []byte) error

type DeleteModelRequest 

type DeleteModelRequest struct {
	// Resource name of the model being deleted.
	Name                 string   `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].

func (*DeleteModelRequest) Descriptor 

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

func (*DeleteModelRequest) GetName 

func (m *DeleteModelRequest) GetName() string

func (*DeleteModelRequest) ProtoMessage 

func (*DeleteModelRequest) ProtoMessage()

func (*DeleteModelRequest) Reset 

func (m *DeleteModelRequest) Reset()

func (*DeleteModelRequest) String 

func (m *DeleteModelRequest) String() string

func (*DeleteModelRequest) XXX_DiscardUnknown 

func (m *DeleteModelRequest) XXX_DiscardUnknown()

func (*DeleteModelRequest) XXX_Marshal 

func (m *DeleteModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DeleteModelRequest) XXX_Merge 

func (dst *DeleteModelRequest) XXX_Merge(src proto.Message)

func (*DeleteModelRequest) XXX_Size 

func (m *DeleteModelRequest) XXX_Size() int

func (*DeleteModelRequest) XXX_Unmarshal 

func (m *DeleteModelRequest) XXX_Unmarshal(b []byte) error

type DeployModelRequest 

type DeployModelRequest struct {
	// Resource name of the model to deploy.
	Name                 string   `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].

func (*DeployModelRequest) Descriptor 

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

func (*DeployModelRequest) GetName 

func (m *DeployModelRequest) GetName() string

func (*DeployModelRequest) ProtoMessage 

func (*DeployModelRequest) ProtoMessage()

func (*DeployModelRequest) Reset 

func (m *DeployModelRequest) Reset()

func (*DeployModelRequest) String 

func (m *DeployModelRequest) String() string

func (*DeployModelRequest) XXX_DiscardUnknown 

func (m *DeployModelRequest) XXX_DiscardUnknown()

func (*DeployModelRequest) XXX_Marshal 

func (m *DeployModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DeployModelRequest) XXX_Merge 

func (dst *DeployModelRequest) XXX_Merge(src proto.Message)

func (*DeployModelRequest) XXX_Size 

func (m *DeployModelRequest) XXX_Size() int

func (*DeployModelRequest) XXX_Unmarshal 

func (m *DeployModelRequest) XXX_Unmarshal(b []byte) error

type ExamplePayload 

type ExamplePayload struct {
	// Required. Input only. The example data.
	//
	// Types that are valid to be assigned to Payload:
	//	*ExamplePayload_Image
	//	*ExamplePayload_TextSnippet
	Payload              isExamplePayload_Payload `protobuf_oneof:"payload"`
	XXX_NoUnkeyedLiteral struct{}                 `json:"-"`
	XXX_unrecognized     []byte                   `json:"-"`
	XXX_sizecache        int32                    `json:"-"`
}

Example data used for training or prediction.

func (*ExamplePayload) Descriptor 

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

func (*ExamplePayload) GetImage 

func (m *ExamplePayload) GetImage() *Image

func (*ExamplePayload) GetPayload 

func (m *ExamplePayload) GetPayload() isExamplePayload_Payload

func (*ExamplePayload) GetTextSnippet 

func (m *ExamplePayload) GetTextSnippet() *TextSnippet

func (*ExamplePayload) ProtoMessage 

func (*ExamplePayload) ProtoMessage()

func (*ExamplePayload) Reset 

func (m *ExamplePayload) Reset()

func (*ExamplePayload) String 

func (m *ExamplePayload) String() string

func (*ExamplePayload) XXX_DiscardUnknown 

func (m *ExamplePayload) XXX_DiscardUnknown()

func (*ExamplePayload) XXX_Marshal 

func (m *ExamplePayload) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ExamplePayload) XXX_Merge 

func (dst *ExamplePayload) XXX_Merge(src proto.Message)

func (*ExamplePayload) XXX_OneofFuncs 

func (*ExamplePayload) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*ExamplePayload) XXX_Size 

func (m *ExamplePayload) XXX_Size() int

func (*ExamplePayload) XXX_Unmarshal 

func (m *ExamplePayload) XXX_Unmarshal(b []byte) error

type ExamplePayload_Image 

type ExamplePayload_Image struct {
	Image *Image `protobuf:"bytes,1,opt,name=image,proto3,oneof"`
}

type ExamplePayload_TextSnippet 

type ExamplePayload_TextSnippet struct {
	TextSnippet *TextSnippet `protobuf:"bytes,2,opt,name=text_snippet,json=textSnippet,proto3,oneof"`
}

type ExportDataRequest 

type ExportDataRequest struct {
	// Required. The resource name of the dataset.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired output location.
	OutputConfig         *OutputConfig `protobuf:"bytes,3,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
	XXX_NoUnkeyedLiteral struct{}      `json:"-"`
	XXX_unrecognized     []byte        `json:"-"`
	XXX_sizecache        int32         `json:"-"`
}

Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].

func (*ExportDataRequest) Descriptor 

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

func (*ExportDataRequest) GetName 

func (m *ExportDataRequest) GetName() string

func (*ExportDataRequest) GetOutputConfig 

func (m *ExportDataRequest) GetOutputConfig() *OutputConfig

func (*ExportDataRequest) ProtoMessage 

func (*ExportDataRequest) ProtoMessage()

func (*ExportDataRequest) Reset 

func (m *ExportDataRequest) Reset()

func (*ExportDataRequest) String 

func (m *ExportDataRequest) String() string

func (*ExportDataRequest) XXX_DiscardUnknown 

func (m *ExportDataRequest) XXX_DiscardUnknown()

func (*ExportDataRequest) XXX_Marshal 

func (m *ExportDataRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ExportDataRequest) XXX_Merge 

func (dst *ExportDataRequest) XXX_Merge(src proto.Message)

func (*ExportDataRequest) XXX_Size 

func (m *ExportDataRequest) XXX_Size() int

func (*ExportDataRequest) XXX_Unmarshal 

func (m *ExportDataRequest) XXX_Unmarshal(b []byte) error

type GcsDestination 

type GcsDestination struct {
	// Required. Google Cloud Storage URI to output directory, up to 2000
	// characters long.
	// Accepted forms:
	// * Prefix path: gs://bucket/directory
	// The requesting user must have write permission to the bucket.
	// 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"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

The GCS location where the output must be written to

func (*GcsDestination) Descriptor 

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

func (*GcsDestination) GetOutputUriPrefix 

func (m *GcsDestination) GetOutputUriPrefix() string

func (*GcsDestination) ProtoMessage 

func (*GcsDestination) ProtoMessage()

func (*GcsDestination) Reset 

func (m *GcsDestination) Reset()

func (*GcsDestination) String 

func (m *GcsDestination) String() string

func (*GcsDestination) XXX_DiscardUnknown 

func (m *GcsDestination) XXX_DiscardUnknown()

func (*GcsDestination) XXX_Marshal 

func (m *GcsDestination) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GcsDestination) XXX_Merge 

func (dst *GcsDestination) XXX_Merge(src proto.Message)

func (*GcsDestination) XXX_Size 

func (m *GcsDestination) XXX_Size() int

func (*GcsDestination) XXX_Unmarshal 

func (m *GcsDestination) XXX_Unmarshal(b []byte) error

type GcsSource 

type GcsSource struct {
	// Required. Google Cloud Storage URIs to input files, up to 2000 characters
	// long. Accepted forms:
	// * Full object path: gs://bucket/directory/object.csv
	InputUris            []string `protobuf:"bytes,1,rep,name=input_uris,json=inputUris,proto3" json:"input_uris,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

The GCS location for the input content.

func (*GcsSource) Descriptor 

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

func (*GcsSource) GetInputUris 

func (m *GcsSource) GetInputUris() []string

func (*GcsSource) ProtoMessage 

func (*GcsSource) ProtoMessage()

func (*GcsSource) Reset 

func (m *GcsSource) Reset()

func (*GcsSource) String 

func (m *GcsSource) String() string

func (*GcsSource) XXX_DiscardUnknown 

func (m *GcsSource) XXX_DiscardUnknown()

func (*GcsSource) XXX_Marshal 

func (m *GcsSource) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GcsSource) XXX_Merge 

func (dst *GcsSource) XXX_Merge(src proto.Message)

func (*GcsSource) XXX_Size 

func (m *GcsSource) XXX_Size() int

func (*GcsSource) XXX_Unmarshal 

func (m *GcsSource) XXX_Unmarshal(b []byte) error

type GetDatasetRequest 

type GetDatasetRequest struct {
	// The resource name of the dataset to retrieve.
	Name                 string   `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].

func (*GetDatasetRequest) Descriptor 

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

func (*GetDatasetRequest) GetName 

func (m *GetDatasetRequest) GetName() string

func (*GetDatasetRequest) ProtoMessage 

func (*GetDatasetRequest) ProtoMessage()

func (*GetDatasetRequest) Reset 

func (m *GetDatasetRequest) Reset()

func (*GetDatasetRequest) String 

func (m *GetDatasetRequest) String() string

func (*GetDatasetRequest) XXX_DiscardUnknown 

func (m *GetDatasetRequest) XXX_DiscardUnknown()

func (*GetDatasetRequest) XXX_Marshal 

func (m *GetDatasetRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GetDatasetRequest) XXX_Merge 

func (dst *GetDatasetRequest) XXX_Merge(src proto.Message)

func (*GetDatasetRequest) XXX_Size 

func (m *GetDatasetRequest) XXX_Size() int

func (*GetDatasetRequest) XXX_Unmarshal 

func (m *GetDatasetRequest) XXX_Unmarshal(b []byte) error

type GetModelEvaluationRequest 

type GetModelEvaluationRequest struct {
	// Resource name for the model evaluation.
	Name                 string   `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].

func (*GetModelEvaluationRequest) Descriptor 

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

func (*GetModelEvaluationRequest) GetName 

func (m *GetModelEvaluationRequest) GetName() string

func (*GetModelEvaluationRequest) ProtoMessage 

func (*GetModelEvaluationRequest) ProtoMessage()

func (*GetModelEvaluationRequest) Reset 

func (m *GetModelEvaluationRequest) Reset()

func (*GetModelEvaluationRequest) String 

func (m *GetModelEvaluationRequest) String() string

func (*GetModelEvaluationRequest) XXX_DiscardUnknown 

func (m *GetModelEvaluationRequest) XXX_DiscardUnknown()

func (*GetModelEvaluationRequest) XXX_Marshal 

func (m *GetModelEvaluationRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GetModelEvaluationRequest) XXX_Merge 

func (dst *GetModelEvaluationRequest) XXX_Merge(src proto.Message)

func (*GetModelEvaluationRequest) XXX_Size 

func (m *GetModelEvaluationRequest) XXX_Size() int

func (*GetModelEvaluationRequest) XXX_Unmarshal 

func (m *GetModelEvaluationRequest) XXX_Unmarshal(b []byte) error

type GetModelRequest 

type GetModelRequest struct {
	// Resource name of the model.
	Name                 string   `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].

func (*GetModelRequest) Descriptor 

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

func (*GetModelRequest) GetName 

func (m *GetModelRequest) GetName() string

func (*GetModelRequest) ProtoMessage 

func (*GetModelRequest) ProtoMessage()

func (*GetModelRequest) Reset 

func (m *GetModelRequest) Reset()

func (*GetModelRequest) String 

func (m *GetModelRequest) String() string

func (*GetModelRequest) XXX_DiscardUnknown 

func (m *GetModelRequest) XXX_DiscardUnknown()

func (*GetModelRequest) XXX_Marshal 

func (m *GetModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GetModelRequest) XXX_Merge 

func (dst *GetModelRequest) XXX_Merge(src proto.Message)

func (*GetModelRequest) XXX_Size 

func (m *GetModelRequest) XXX_Size() int

func (*GetModelRequest) XXX_Unmarshal 

func (m *GetModelRequest) XXX_Unmarshal(b []byte) error

type Image 

type Image struct {
	// Input only. The data representing the image.
	// For Predict calls [image_bytes][] must be set, as other options are not
	// currently supported by prediction API. You can read the contents of an
	// uploaded image by using the [content_uri][] field.
	//
	// Types that are valid to be assigned to Data:
	//	*Image_ImageBytes
	//	*Image_InputConfig
	Data isImage_Data `protobuf_oneof:"data"`
	// Output only. HTTP URI to the thumbnail image.
	ThumbnailUri         string   `protobuf:"bytes,4,opt,name=thumbnail_uri,json=thumbnailUri,proto3" json:"thumbnail_uri,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

A representation of an image.

func (*Image) Descriptor 

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

func (*Image) GetData 

func (m *Image) GetData() isImage_Data

func (*Image) GetImageBytes 

func (m *Image) GetImageBytes() []byte

func (*Image) GetInputConfig 

func (m *Image) GetInputConfig() *InputConfig

func (*Image) GetThumbnailUri 

func (m *Image) GetThumbnailUri() string

func (*Image) ProtoMessage 

func (*Image) ProtoMessage()

func (*Image) Reset 

func (m *Image) Reset()

func (*Image) String 

func (m *Image) String() string

func (*Image) XXX_DiscardUnknown 

func (m *Image) XXX_DiscardUnknown()

func (*Image) XXX_Marshal 

func (m *Image) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Image) XXX_Merge 

func (dst *Image) XXX_Merge(src proto.Message)

func (*Image) XXX_OneofFuncs 

func (*Image) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*Image) XXX_Size 

func (m *Image) XXX_Size() int

func (*Image) XXX_Unmarshal 

func (m *Image) XXX_Unmarshal(b []byte) error

type ImageClassificationDatasetMetadata 

type ImageClassificationDatasetMetadata struct {
	// Required.
	// Type of the classification problem.
	ClassificationType   ClassificationType `` /* 168-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}           `json:"-"`
	XXX_unrecognized     []byte             `json:"-"`
	XXX_sizecache        int32              `json:"-"`
}

Dataset metadata that is specific to image classification.

func (*ImageClassificationDatasetMetadata) Descriptor 

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

func (*ImageClassificationDatasetMetadata) GetClassificationType 

func (m *ImageClassificationDatasetMetadata) GetClassificationType() ClassificationType

func (*ImageClassificationDatasetMetadata) ProtoMessage 

func (*ImageClassificationDatasetMetadata) ProtoMessage()

func (*ImageClassificationDatasetMetadata) Reset 

func (m *ImageClassificationDatasetMetadata) Reset()

func (*ImageClassificationDatasetMetadata) String 

func (m *ImageClassificationDatasetMetadata) String() string

func (*ImageClassificationDatasetMetadata) XXX_DiscardUnknown 

func (m *ImageClassificationDatasetMetadata) XXX_DiscardUnknown()

func (*ImageClassificationDatasetMetadata) XXX_Marshal 

func (m *ImageClassificationDatasetMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ImageClassificationDatasetMetadata) XXX_Merge 

func (dst *ImageClassificationDatasetMetadata) XXX_Merge(src proto.Message)

func (*ImageClassificationDatasetMetadata) XXX_Size 

func (m *ImageClassificationDatasetMetadata) XXX_Size() int

func (*ImageClassificationDatasetMetadata) XXX_Unmarshal 

func (m *ImageClassificationDatasetMetadata) XXX_Unmarshal(b []byte) error

type ImageClassificationModelMetadata 

type ImageClassificationModelMetadata struct {
	// Optional. The ID of the `base` model. If it is specified, the new model
	// will be created based on the `base` model. Otherwise, the new model will be
	// created from scratch. The `base` model is expected to be in the same
	// `project` and `location` as the new model to create.
	BaseModelId string `protobuf:"bytes,1,opt,name=base_model_id,json=baseModelId,proto3" json:"base_model_id,omitempty"`
	// Required. The train budget of creating this model. The actual
	// `train_cost` will be equal or less than this value.
	TrainBudget int64 `protobuf:"varint,2,opt,name=train_budget,json=trainBudget,proto3" json:"train_budget,omitempty"`
	// Output only. The actual train cost of creating this model. If this
	// model is created from a `base` model, the train cost used to create the
	// `base` model are not included.
	TrainCost int64 `protobuf:"varint,3,opt,name=train_cost,json=trainCost,proto3" json:"train_cost,omitempty"`
	// Output only. The reason that this create model operation stopped,
	// e.g. BUDGET_REACHED, CONVERGED.
	StopReason           string   `protobuf:"bytes,5,opt,name=stop_reason,json=stopReason,proto3" json:"stop_reason,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Model metadata for image classification.

func (*ImageClassificationModelMetadata) Descriptor 

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

func (*ImageClassificationModelMetadata) GetBaseModelId 

func (m *ImageClassificationModelMetadata) GetBaseModelId() string

func (*ImageClassificationModelMetadata) GetStopReason 

func (m *ImageClassificationModelMetadata) GetStopReason() string

func (*ImageClassificationModelMetadata) GetTrainBudget 

func (m *ImageClassificationModelMetadata) GetTrainBudget() int64

func (*ImageClassificationModelMetadata) GetTrainCost 

func (m *ImageClassificationModelMetadata) GetTrainCost() int64

func (*ImageClassificationModelMetadata) ProtoMessage 

func (*ImageClassificationModelMetadata) ProtoMessage()

func (*ImageClassificationModelMetadata) Reset 

func (m *ImageClassificationModelMetadata) Reset()

func (*ImageClassificationModelMetadata) String 

func (m *ImageClassificationModelMetadata) String() string

func (*ImageClassificationModelMetadata) XXX_DiscardUnknown 

func (m *ImageClassificationModelMetadata) XXX_DiscardUnknown()

func (*ImageClassificationModelMetadata) XXX_Marshal 

func (m *ImageClassificationModelMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ImageClassificationModelMetadata) XXX_Merge 

func (dst *ImageClassificationModelMetadata) XXX_Merge(src proto.Message)

func (*ImageClassificationModelMetadata) XXX_Size 

func (m *ImageClassificationModelMetadata) XXX_Size() int

func (*ImageClassificationModelMetadata) XXX_Unmarshal 

func (m *ImageClassificationModelMetadata) XXX_Unmarshal(b []byte) error

type Image_ImageBytes 

type Image_ImageBytes struct {
	ImageBytes []byte `protobuf:"bytes,1,opt,name=image_bytes,json=imageBytes,proto3,oneof"`
}

type Image_InputConfig 

type Image_InputConfig struct {
	InputConfig *InputConfig `protobuf:"bytes,6,opt,name=input_config,json=inputConfig,proto3,oneof"`
}

type ImportDataRequest 

type ImportDataRequest struct {
	// Required. Dataset name. Dataset must already exist. All imported
	// annotations and examples will be added.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The desired input location.
	InputConfig          *InputConfig `protobuf:"bytes,3,opt,name=input_config,json=inputConfig,proto3" json:"input_config,omitempty"`
	XXX_NoUnkeyedLiteral struct{}     `json:"-"`
	XXX_unrecognized     []byte       `json:"-"`
	XXX_sizecache        int32        `json:"-"`
}

Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].

func (*ImportDataRequest) Descriptor 

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

func (*ImportDataRequest) GetInputConfig 

func (m *ImportDataRequest) GetInputConfig() *InputConfig

func (*ImportDataRequest) GetName 

func (m *ImportDataRequest) GetName() string

func (*ImportDataRequest) ProtoMessage 

func (*ImportDataRequest) ProtoMessage()

func (*ImportDataRequest) Reset 

func (m *ImportDataRequest) Reset()

func (*ImportDataRequest) String 

func (m *ImportDataRequest) String() string

func (*ImportDataRequest) XXX_DiscardUnknown 

func (m *ImportDataRequest) XXX_DiscardUnknown()

func (*ImportDataRequest) XXX_Marshal 

func (m *ImportDataRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ImportDataRequest) XXX_Merge 

func (dst *ImportDataRequest) XXX_Merge(src proto.Message)

func (*ImportDataRequest) XXX_Size 

func (m *ImportDataRequest) XXX_Size() int

func (*ImportDataRequest) XXX_Unmarshal 

func (m *ImportDataRequest) XXX_Unmarshal(b []byte) error

type InputConfig 

type InputConfig struct {
	// Required. The source of the input.
	//
	// Types that are valid to be assigned to Source:
	//	*InputConfig_GcsSource
	Source               isInputConfig_Source `protobuf_oneof:"source"`
	XXX_NoUnkeyedLiteral struct{}             `json:"-"`
	XXX_unrecognized     []byte               `json:"-"`
	XXX_sizecache        int32                `json:"-"`
}

Input configuration.

func (*InputConfig) Descriptor 

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

func (*InputConfig) GetGcsSource 

func (m *InputConfig) GetGcsSource() *GcsSource

func (*InputConfig) GetSource 

func (m *InputConfig) GetSource() isInputConfig_Source

func (*InputConfig) ProtoMessage 

func (*InputConfig) ProtoMessage()

func (*InputConfig) Reset 

func (m *InputConfig) Reset()

func (*InputConfig) String 

func (m *InputConfig) String() string

func (*InputConfig) XXX_DiscardUnknown 

func (m *InputConfig) XXX_DiscardUnknown()

func (*InputConfig) XXX_Marshal 

func (m *InputConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*InputConfig) XXX_Merge 

func (dst *InputConfig) XXX_Merge(src proto.Message)

func (*InputConfig) XXX_OneofFuncs 

func (*InputConfig) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*InputConfig) XXX_Size 

func (m *InputConfig) XXX_Size() int

func (*InputConfig) XXX_Unmarshal 

func (m *InputConfig) XXX_Unmarshal(b []byte) error

type InputConfig_GcsSource 

type InputConfig_GcsSource struct {
	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
}

type ListDatasetsRequest 

type ListDatasetsRequest struct {
	// The resource name of the project from which to list datasets.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request.
	//
	//   * `dataset_metadata` - for existence of the case.
	//
	// An example of using the filter is:
	//
	//   * `translation_dataset_metadata:*` --> The dataset has
	//                                          translation_dataset_metadata.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// Requested page size. Server may return fewer results than requested.
	// If unspecified, server will pick a default size.
	PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A token identifying a page of results for the server to return
	// Typically obtained via
	// [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
	// [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
	PageToken            string   `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].

func (*ListDatasetsRequest) Descriptor 

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

func (*ListDatasetsRequest) GetFilter 

func (m *ListDatasetsRequest) GetFilter() string

func (*ListDatasetsRequest) GetPageSize 

func (m *ListDatasetsRequest) GetPageSize() int32

func (*ListDatasetsRequest) GetPageToken 

func (m *ListDatasetsRequest) GetPageToken() string

func (*ListDatasetsRequest) GetParent 

func (m *ListDatasetsRequest) GetParent() string

func (*ListDatasetsRequest) ProtoMessage 

func (*ListDatasetsRequest) ProtoMessage()

func (*ListDatasetsRequest) Reset 

func (m *ListDatasetsRequest) Reset()

func (*ListDatasetsRequest) String 

func (m *ListDatasetsRequest) String() string

func (*ListDatasetsRequest) XXX_DiscardUnknown 

func (m *ListDatasetsRequest) XXX_DiscardUnknown()

func (*ListDatasetsRequest) XXX_Marshal 

func (m *ListDatasetsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ListDatasetsRequest) XXX_Merge 

func (dst *ListDatasetsRequest) XXX_Merge(src proto.Message)

func (*ListDatasetsRequest) XXX_Size 

func (m *ListDatasetsRequest) XXX_Size() int

func (*ListDatasetsRequest) XXX_Unmarshal 

func (m *ListDatasetsRequest) XXX_Unmarshal(b []byte) error

type ListDatasetsResponse 

type ListDatasetsResponse struct {
	// The datasets read.
	Datasets []*Dataset `protobuf:"bytes,1,rep,name=datasets,proto3" json:"datasets,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
	NextPageToken        string   `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].

func (*ListDatasetsResponse) Descriptor 

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

func (*ListDatasetsResponse) GetDatasets 

func (m *ListDatasetsResponse) GetDatasets() []*Dataset

func (*ListDatasetsResponse) GetNextPageToken 

func (m *ListDatasetsResponse) GetNextPageToken() string

func (*ListDatasetsResponse) ProtoMessage 

func (*ListDatasetsResponse) ProtoMessage()

func (*ListDatasetsResponse) Reset 

func (m *ListDatasetsResponse) Reset()

func (*ListDatasetsResponse) String 

func (m *ListDatasetsResponse) String() string

func (*ListDatasetsResponse) XXX_DiscardUnknown 

func (m *ListDatasetsResponse) XXX_DiscardUnknown()

func (*ListDatasetsResponse) XXX_Marshal 

func (m *ListDatasetsResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ListDatasetsResponse) XXX_Merge 

func (dst *ListDatasetsResponse) XXX_Merge(src proto.Message)

func (*ListDatasetsResponse) XXX_Size 

func (m *ListDatasetsResponse) XXX_Size() int

func (*ListDatasetsResponse) XXX_Unmarshal 

func (m *ListDatasetsResponse) XXX_Unmarshal(b []byte) error

type ListModelEvaluationsRequest 

type ListModelEvaluationsRequest struct {
	// Resource name of the model to list the model evaluations for.
	// If modelId is set as "-", this will list model evaluations from across all
	// models of the parent location.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request.
	//
	//   * `annotation_spec_id` - for =, !=  or existence. See example below for
	//                          the last.
	//
	// Some examples of using the filter are:
	//
	//   * `annotation_spec_id!=4` --> The model evaluation was done for
	//                             annotation spec with ID different than 4.
	//   * `NOT annotation_spec_id:*` --> The model evaluation was done for
	//                                aggregate of all annotation specs.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// Requested page size.
	PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A token identifying a page of results for the server to return.
	// Typically obtained via
	// `ListModelEvaluationsResponse.next_page_token` of the previous
	// [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
	PageToken            string   `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].

func (*ListModelEvaluationsRequest) Descriptor 

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

func (*ListModelEvaluationsRequest) GetFilter 

func (m *ListModelEvaluationsRequest) GetFilter() string

func (*ListModelEvaluationsRequest) GetPageSize 

func (m *ListModelEvaluationsRequest) GetPageSize() int32

func (*ListModelEvaluationsRequest) GetPageToken 

func (m *ListModelEvaluationsRequest) GetPageToken() string

func (*ListModelEvaluationsRequest) GetParent 

func (m *ListModelEvaluationsRequest) GetParent() string

func (*ListModelEvaluationsRequest) ProtoMessage 

func (*ListModelEvaluationsRequest) ProtoMessage()

func (*ListModelEvaluationsRequest) Reset 

func (m *ListModelEvaluationsRequest) Reset()

func (*ListModelEvaluationsRequest) String 

func (m *ListModelEvaluationsRequest) String() string

func (*ListModelEvaluationsRequest) XXX_DiscardUnknown 

func (m *ListModelEvaluationsRequest) XXX_DiscardUnknown()

func (*ListModelEvaluationsRequest) XXX_Marshal 

func (m *ListModelEvaluationsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ListModelEvaluationsRequest) XXX_Merge 

func (dst *ListModelEvaluationsRequest) XXX_Merge(src proto.Message)

func (*ListModelEvaluationsRequest) XXX_Size 

func (m *ListModelEvaluationsRequest) XXX_Size() int

func (*ListModelEvaluationsRequest) XXX_Unmarshal 

func (m *ListModelEvaluationsRequest) XXX_Unmarshal(b []byte) error

type ListModelEvaluationsResponse 

type ListModelEvaluationsResponse struct {
	// List of model evaluations in the requested page.
	ModelEvaluation []*ModelEvaluation `protobuf:"bytes,1,rep,name=model_evaluation,json=modelEvaluation,proto3" json:"model_evaluation,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListModelEvaluations.page_token][] to obtain that page.
	NextPageToken        string   `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].

func (*ListModelEvaluationsResponse) Descriptor 

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

func (*ListModelEvaluationsResponse) GetModelEvaluation 

func (m *ListModelEvaluationsResponse) GetModelEvaluation() []*ModelEvaluation

func (*ListModelEvaluationsResponse) GetNextPageToken 

func (m *ListModelEvaluationsResponse) GetNextPageToken() string

func (*ListModelEvaluationsResponse) ProtoMessage 

func (*ListModelEvaluationsResponse) ProtoMessage()

func (*ListModelEvaluationsResponse) Reset 

func (m *ListModelEvaluationsResponse) Reset()

func (*ListModelEvaluationsResponse) String 

func (m *ListModelEvaluationsResponse) String() string

func (*ListModelEvaluationsResponse) XXX_DiscardUnknown 

func (m *ListModelEvaluationsResponse) XXX_DiscardUnknown()

func (*ListModelEvaluationsResponse) XXX_Marshal 

func (m *ListModelEvaluationsResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ListModelEvaluationsResponse) XXX_Merge 

func (dst *ListModelEvaluationsResponse) XXX_Merge(src proto.Message)

func (*ListModelEvaluationsResponse) XXX_Size 

func (m *ListModelEvaluationsResponse) XXX_Size() int

func (*ListModelEvaluationsResponse) XXX_Unmarshal 

func (m *ListModelEvaluationsResponse) XXX_Unmarshal(b []byte) error

type ListModelsRequest 

type ListModelsRequest struct {
	// Resource name of the project, from which to list the models.
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// An expression for filtering the results of the request.
	//
	//   * `model_metadata` - for existence of the case.
	//   * `dataset_id` - for = or !=.
	//
	// Some examples of using the filter are:
	//
	//   * `image_classification_model_metadata:*` --> The model has
	//                                        image_classification_model_metadata.
	//   * `dataset_id=5` --> The model was created from a sibling dataset with
	//                    ID 5.
	Filter string `protobuf:"bytes,3,opt,name=filter,proto3" json:"filter,omitempty"`
	// Requested page size.
	PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A token identifying a page of results for the server to return
	// Typically obtained via
	// [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
	// [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
	PageToken            string   `protobuf:"bytes,6,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].

func (*ListModelsRequest) Descriptor 

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

func (*ListModelsRequest) GetFilter 

func (m *ListModelsRequest) GetFilter() string

func (*ListModelsRequest) GetPageSize 

func (m *ListModelsRequest) GetPageSize() int32

func (*ListModelsRequest) GetPageToken 

func (m *ListModelsRequest) GetPageToken() string

func (*ListModelsRequest) GetParent 

func (m *ListModelsRequest) GetParent() string

func (*ListModelsRequest) ProtoMessage 

func (*ListModelsRequest) ProtoMessage()

func (*ListModelsRequest) Reset 

func (m *ListModelsRequest) Reset()

func (*ListModelsRequest) String 

func (m *ListModelsRequest) String() string

func (*ListModelsRequest) XXX_DiscardUnknown 

func (m *ListModelsRequest) XXX_DiscardUnknown()

func (*ListModelsRequest) XXX_Marshal 

func (m *ListModelsRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ListModelsRequest) XXX_Merge 

func (dst *ListModelsRequest) XXX_Merge(src proto.Message)

func (*ListModelsRequest) XXX_Size 

func (m *ListModelsRequest) XXX_Size() int

func (*ListModelsRequest) XXX_Unmarshal 

func (m *ListModelsRequest) XXX_Unmarshal(b []byte) error

type ListModelsResponse 

type ListModelsResponse struct {
	// List of models in the requested page.
	Model []*Model `protobuf:"bytes,1,rep,name=model,proto3" json:"model,omitempty"`
	// A token to retrieve next page of results.
	// Pass to [ListModels.page_token][] to obtain that page.
	NextPageToken        string   `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].

func (*ListModelsResponse) Descriptor 

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

func (*ListModelsResponse) GetModel 

func (m *ListModelsResponse) GetModel() []*Model

func (*ListModelsResponse) GetNextPageToken 

func (m *ListModelsResponse) GetNextPageToken() string

func (*ListModelsResponse) ProtoMessage 

func (*ListModelsResponse) ProtoMessage()

func (*ListModelsResponse) Reset 

func (m *ListModelsResponse) Reset()

func (*ListModelsResponse) String 

func (m *ListModelsResponse) String() string

func (*ListModelsResponse) XXX_DiscardUnknown 

func (m *ListModelsResponse) XXX_DiscardUnknown()

func (*ListModelsResponse) XXX_Marshal 

func (m *ListModelsResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ListModelsResponse) XXX_Merge 

func (dst *ListModelsResponse) XXX_Merge(src proto.Message)

func (*ListModelsResponse) XXX_Size 

func (m *ListModelsResponse) XXX_Size() int

func (*ListModelsResponse) XXX_Unmarshal 

func (m *ListModelsResponse) XXX_Unmarshal(b []byte) error

type Model 

type Model struct {
	// Required.
	// The model metadata that is specific to the problem type.
	// Must match the metadata type of the dataset used to train the model.
	//
	// Types that are valid to be assigned to ModelMetadata:
	//	*Model_ImageClassificationModelMetadata
	//	*Model_TextClassificationModelMetadata
	//	*Model_TranslationModelMetadata
	ModelMetadata isModel_ModelMetadata `protobuf_oneof:"model_metadata"`
	// Output only.
	// Resource name of the model.
	// Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The name of the model to show in the interface. The name can be
	// up to 32 characters
	// long and can consist only of ASCII Latin letters A-Z and a-z, underscores
	// (_), and ASCII digits 0-9.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required.
	// The resource ID of the dataset used to create the model. The dataset must
	// come from the
	// same ancestor project and location.
	DatasetId string `protobuf:"bytes,3,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`
	// Output only.
	// Timestamp when this model was created.
	CreateTime *timestamp.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only.
	// Timestamp when this model was last updated.
	UpdateTime *timestamp.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Deployment state of the model.
	DeploymentState      Model_DeploymentState `` /* 162-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}              `json:"-"`
	XXX_unrecognized     []byte                `json:"-"`
	XXX_sizecache        int32                 `json:"-"`
}

API proto representing a trained machine learning model.

func (*Model) Descriptor 

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

func (*Model) GetCreateTime 

func (m *Model) GetCreateTime() *timestamp.Timestamp

func (*Model) GetDatasetId 

func (m *Model) GetDatasetId() string

func (*Model) GetDeploymentState 

func (m *Model) GetDeploymentState() Model_DeploymentState

func (*Model) GetDisplayName 

func (m *Model) GetDisplayName() string

func (*Model) GetImageClassificationModelMetadata 

func (m *Model) GetImageClassificationModelMetadata() *ImageClassificationModelMetadata

func (*Model) GetModelMetadata 

func (m *Model) GetModelMetadata() isModel_ModelMetadata

func (*Model) GetName 

func (m *Model) GetName() string

func (*Model) GetTextClassificationModelMetadata 

func (m *Model) GetTextClassificationModelMetadata() *TextClassificationModelMetadata

func (*Model) GetTranslationModelMetadata 

func (m *Model) GetTranslationModelMetadata() *TranslationModelMetadata

func (*Model) GetUpdateTime 

func (m *Model) GetUpdateTime() *timestamp.Timestamp

func (*Model) ProtoMessage 

func (*Model) ProtoMessage()

func (*Model) Reset 

func (m *Model) Reset()

func (*Model) String 

func (m *Model) String() string

func (*Model) XXX_DiscardUnknown 

func (m *Model) XXX_DiscardUnknown()

func (*Model) XXX_Marshal 

func (m *Model) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Model) XXX_Merge 

func (dst *Model) XXX_Merge(src proto.Message)

func (*Model) XXX_OneofFuncs 

func (*Model) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*Model) XXX_Size 

func (m *Model) XXX_Size() int

func (*Model) XXX_Unmarshal 

func (m *Model) XXX_Unmarshal(b []byte) error

type ModelEvaluation 

type ModelEvaluation struct {
	// Output only. Problem type specific evaluation metrics.
	//
	// Types that are valid to be assigned to Metrics:
	//	*ModelEvaluation_ClassificationEvaluationMetrics
	//	*ModelEvaluation_TranslationEvaluationMetrics
	Metrics isModelEvaluation_Metrics `protobuf_oneof:"metrics"`
	// Output only.
	// Resource name of the model evaluation.
	// Format:
	//
	// `projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only.
	// The ID of the annotation spec that the model evaluation applies to. The
	// ID is empty for overall model evaluation.
	// NOTE: Currently there is no way to obtain the display_name of the
	// annotation spec from its ID. To see the display_names, review the model
	// evaluations in the UI.
	AnnotationSpecId string `protobuf:"bytes,2,opt,name=annotation_spec_id,json=annotationSpecId,proto3" json:"annotation_spec_id,omitempty"`
	// Output only.
	// Timestamp when this model evaluation was created.
	CreateTime *timestamp.Timestamp `protobuf:"bytes,5,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. The number of examples used for model evaluation.
	EvaluatedExampleCount int32    `` /* 127-byte string literal not displayed */
	XXX_NoUnkeyedLiteral  struct{} `json:"-"`
	XXX_unrecognized      []byte   `json:"-"`
	XXX_sizecache         int32    `json:"-"`
}

Evaluation results of a model.

func (*ModelEvaluation) Descriptor 

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

func (*ModelEvaluation) GetAnnotationSpecId 

func (m *ModelEvaluation) GetAnnotationSpecId() string

func (*ModelEvaluation) GetClassificationEvaluationMetrics 

func (m *ModelEvaluation) GetClassificationEvaluationMetrics() *ClassificationEvaluationMetrics

func (*ModelEvaluation) GetCreateTime 

func (m *ModelEvaluation) GetCreateTime() *timestamp.Timestamp

func (*ModelEvaluation) GetEvaluatedExampleCount 

func (m *ModelEvaluation) GetEvaluatedExampleCount() int32

func (*ModelEvaluation) GetMetrics 

func (m *ModelEvaluation) GetMetrics() isModelEvaluation_Metrics

func (*ModelEvaluation) GetName 

func (m *ModelEvaluation) GetName() string

func (*ModelEvaluation) GetTranslationEvaluationMetrics 

func (m *ModelEvaluation) GetTranslationEvaluationMetrics() *TranslationEvaluationMetrics

func (*ModelEvaluation) ProtoMessage 

func (*ModelEvaluation) ProtoMessage()

func (*ModelEvaluation) Reset 

func (m *ModelEvaluation) Reset()

func (*ModelEvaluation) String 

func (m *ModelEvaluation) String() string

func (*ModelEvaluation) XXX_DiscardUnknown 

func (m *ModelEvaluation) XXX_DiscardUnknown()

func (*ModelEvaluation) XXX_Marshal 

func (m *ModelEvaluation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelEvaluation) XXX_Merge 

func (dst *ModelEvaluation) XXX_Merge(src proto.Message)

func (*ModelEvaluation) XXX_OneofFuncs 

func (*ModelEvaluation) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*ModelEvaluation) XXX_Size 

func (m *ModelEvaluation) XXX_Size() int

func (*ModelEvaluation) XXX_Unmarshal 

func (m *ModelEvaluation) XXX_Unmarshal(b []byte) error

type ModelEvaluation_ClassificationEvaluationMetrics 

type ModelEvaluation_ClassificationEvaluationMetrics struct {
	ClassificationEvaluationMetrics *ClassificationEvaluationMetrics `protobuf:"bytes,8,opt,name=classification_evaluation_metrics,json=classificationEvaluationMetrics,proto3,oneof"`
}

type ModelEvaluation_TranslationEvaluationMetrics 

type ModelEvaluation_TranslationEvaluationMetrics struct {
	TranslationEvaluationMetrics *TranslationEvaluationMetrics `protobuf:"bytes,9,opt,name=translation_evaluation_metrics,json=translationEvaluationMetrics,proto3,oneof"`
}

type Model_DeploymentState 

type Model_DeploymentState int32

Deployment state of the model. 

const (
	// Should not be used, an un-set enum has this value by default.
	Model_DEPLOYMENT_STATE_UNSPECIFIED Model_DeploymentState = 0
	// Model is deployed.
	Model_DEPLOYED Model_DeploymentState = 1
	// Model is not deployed.
	Model_UNDEPLOYED Model_DeploymentState = 2
)

func (Model_DeploymentState) EnumDescriptor 

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

func (Model_DeploymentState) String 

func (x Model_DeploymentState) String() string

type Model_ImageClassificationModelMetadata 

type Model_ImageClassificationModelMetadata struct {
	ImageClassificationModelMetadata *ImageClassificationModelMetadata `protobuf:"bytes,13,opt,name=image_classification_model_metadata,json=imageClassificationModelMetadata,proto3,oneof"`
}

type Model_TextClassificationModelMetadata 

type Model_TextClassificationModelMetadata struct {
	TextClassificationModelMetadata *TextClassificationModelMetadata `protobuf:"bytes,14,opt,name=text_classification_model_metadata,json=textClassificationModelMetadata,proto3,oneof"`
}

type Model_TranslationModelMetadata 

type Model_TranslationModelMetadata struct {
	TranslationModelMetadata *TranslationModelMetadata `protobuf:"bytes,15,opt,name=translation_model_metadata,json=translationModelMetadata,proto3,oneof"`
}

type OperationMetadata 

type OperationMetadata struct {
	// Ouptut only. Details of specific operation. Even if this field is empty,
	// the presence allows to distinguish different types of operations.
	//
	// Types that are valid to be assigned to Details:
	//	*OperationMetadata_CreateModelDetails
	Details isOperationMetadata_Details `protobuf_oneof:"details"`
	// Output only. Progress of operation. Range: [0, 100].
	ProgressPercent int32 `protobuf:"varint,13,opt,name=progress_percent,json=progressPercent,proto3" json:"progress_percent,omitempty"`
	// 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,2,rep,name=partial_failures,json=partialFailures,proto3" json:"partial_failures,omitempty"`
	// Output only. Time when the operation was created.
	CreateTime *timestamp.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Time when the operation was updated for the last time.
	UpdateTime           *timestamp.Timestamp `protobuf:"bytes,4,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	XXX_NoUnkeyedLiteral struct{}             `json:"-"`
	XXX_unrecognized     []byte               `json:"-"`
	XXX_sizecache        int32                `json:"-"`
}

Metadata used across all long running operations returned by AutoML API.

func (*OperationMetadata) Descriptor 

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

func (*OperationMetadata) GetCreateModelDetails 

func (m *OperationMetadata) GetCreateModelDetails() *CreateModelOperationMetadata

func (*OperationMetadata) GetCreateTime 

func (m *OperationMetadata) GetCreateTime() *timestamp.Timestamp

func (*OperationMetadata) GetDetails 

func (m *OperationMetadata) GetDetails() isOperationMetadata_Details

func (*OperationMetadata) GetPartialFailures 

func (m *OperationMetadata) GetPartialFailures() []*status.Status

func (*OperationMetadata) GetProgressPercent 

func (m *OperationMetadata) GetProgressPercent() int32

func (*OperationMetadata) GetUpdateTime 

func (m *OperationMetadata) GetUpdateTime() *timestamp.Timestamp

func (*OperationMetadata) ProtoMessage 

func (*OperationMetadata) ProtoMessage()

func (*OperationMetadata) Reset 

func (m *OperationMetadata) Reset()

func (*OperationMetadata) String 

func (m *OperationMetadata) String() string

func (*OperationMetadata) XXX_DiscardUnknown 

func (m *OperationMetadata) XXX_DiscardUnknown()

func (*OperationMetadata) XXX_Marshal 

func (m *OperationMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*OperationMetadata) XXX_Merge 

func (dst *OperationMetadata) XXX_Merge(src proto.Message)

func (*OperationMetadata) XXX_OneofFuncs 

func (*OperationMetadata) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*OperationMetadata) XXX_Size 

func (m *OperationMetadata) XXX_Size() int

func (*OperationMetadata) XXX_Unmarshal 

func (m *OperationMetadata) XXX_Unmarshal(b []byte) error

type OperationMetadata_CreateModelDetails 

type OperationMetadata_CreateModelDetails struct {
	CreateModelDetails *CreateModelOperationMetadata `protobuf:"bytes,10,opt,name=create_model_details,json=createModelDetails,proto3,oneof"`
}

type OutputConfig 

type OutputConfig struct {
	// Required. The destination of the output.
	//
	// Types that are valid to be assigned to Destination:
	//	*OutputConfig_GcsDestination
	Destination          isOutputConfig_Destination `protobuf_oneof:"destination"`
	XXX_NoUnkeyedLiteral struct{}                   `json:"-"`
	XXX_unrecognized     []byte                     `json:"-"`
	XXX_sizecache        int32                      `json:"-"`
}

Output configuration.

func (*OutputConfig) Descriptor 

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

func (*OutputConfig) GetDestination 

func (m *OutputConfig) GetDestination() isOutputConfig_Destination

func (*OutputConfig) GetGcsDestination 

func (m *OutputConfig) GetGcsDestination() *GcsDestination

func (*OutputConfig) ProtoMessage 

func (*OutputConfig) ProtoMessage()

func (*OutputConfig) Reset 

func (m *OutputConfig) Reset()

func (*OutputConfig) String 

func (m *OutputConfig) String() string

func (*OutputConfig) XXX_DiscardUnknown 

func (m *OutputConfig) XXX_DiscardUnknown()

func (*OutputConfig) XXX_Marshal 

func (m *OutputConfig) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*OutputConfig) XXX_Merge 

func (dst *OutputConfig) XXX_Merge(src proto.Message)

func (*OutputConfig) XXX_OneofFuncs 

func (*OutputConfig) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{})

XXX_OneofFuncs is for the internal use of the proto package.

func (*OutputConfig) XXX_Size 

func (m *OutputConfig) XXX_Size() int

func (*OutputConfig) XXX_Unmarshal 

func (m *OutputConfig) XXX_Unmarshal(b []byte) error

type OutputConfig_GcsDestination 

type OutputConfig_GcsDestination struct {
	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
}

type PredictRequest 

type PredictRequest struct {
	// Name of the model requested to serve the prediction.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required.
	// Payload to perform a prediction on. The payload must match the
	// problem type that the model was trained to solve.
	Payload *ExamplePayload `protobuf:"bytes,2,opt,name=payload,proto3" json:"payload,omitempty"`
	// Additional domain-specific parameters, any string must be up to 25000
	// characters long.
	//
	// *  For Image Classification:
	//
	//    `score_threshold` - (float) A value from 0.0 to 1.0. When the model
	//     makes predictions for an
	//     image, it will only produce results that have at least this confidence
	//     score threshold. The default is 0.5.
	Params               map[string]string `` /* 153-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}          `json:"-"`
	XXX_unrecognized     []byte            `json:"-"`
	XXX_sizecache        int32             `json:"-"`
}

Request message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].

func (*PredictRequest) Descriptor 

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

func (*PredictRequest) GetName 

func (m *PredictRequest) GetName() string

func (*PredictRequest) GetParams 

func (m *PredictRequest) GetParams() map[string]string

func (*PredictRequest) GetPayload 

func (m *PredictRequest) GetPayload() *ExamplePayload

func (*PredictRequest) ProtoMessage 

func (*PredictRequest) ProtoMessage()

func (*PredictRequest) Reset 

func (m *PredictRequest) Reset()

func (*PredictRequest) String 

func (m *PredictRequest) String() string

func (*PredictRequest) XXX_DiscardUnknown 

func (m *PredictRequest) XXX_DiscardUnknown()

func (*PredictRequest) XXX_Marshal 

func (m *PredictRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*PredictRequest) XXX_Merge 

func (dst *PredictRequest) XXX_Merge(src proto.Message)

func (*PredictRequest) XXX_Size 

func (m *PredictRequest) XXX_Size() int

func (*PredictRequest) XXX_Unmarshal 

func (m *PredictRequest) XXX_Unmarshal(b []byte) error

type PredictResponse 

type PredictResponse struct {
	// Prediction result.
	Payload []*AnnotationPayload `protobuf:"bytes,1,rep,name=payload,proto3" json:"payload,omitempty"`
	// Additional domain-specific prediction response metadata.
	Metadata             map[string]string `` /* 157-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}          `json:"-"`
	XXX_unrecognized     []byte            `json:"-"`
	XXX_sizecache        int32             `json:"-"`
}

Response message for [PredictionService.Predict][google.cloud.automl.v1beta1.PredictionService.Predict].

Currently, this is only used to return an image recognition prediction result. More prediction output metadata might be introduced in the future.

func (*PredictResponse) Descriptor 

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

func (*PredictResponse) GetMetadata 

func (m *PredictResponse) GetMetadata() map[string]string

func (*PredictResponse) GetPayload 

func (m *PredictResponse) GetPayload() []*AnnotationPayload

func (*PredictResponse) ProtoMessage 

func (*PredictResponse) ProtoMessage()

func (*PredictResponse) Reset 

func (m *PredictResponse) Reset()

func (*PredictResponse) String 

func (m *PredictResponse) String() string

func (*PredictResponse) XXX_DiscardUnknown 

func (m *PredictResponse) XXX_DiscardUnknown()

func (*PredictResponse) XXX_Marshal 

func (m *PredictResponse) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*PredictResponse) XXX_Merge 

func (dst *PredictResponse) XXX_Merge(src proto.Message)

func (*PredictResponse) XXX_Size 

func (m *PredictResponse) XXX_Size() int

func (*PredictResponse) XXX_Unmarshal 

func (m *PredictResponse) XXX_Unmarshal(b []byte) error

type PredictionServiceClient 

type PredictionServiceClient interface {
	// Perform a prediction.
	Predict(ctx context.Context, in *PredictRequest, opts ...grpc.CallOption) (*PredictResponse, 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.ClientConn) PredictionServiceClient

type PredictionServiceServer 

type PredictionServiceServer interface {
	// Perform a prediction.
	Predict(context.Context, *PredictRequest) (*PredictResponse, error)
}

PredictionServiceServer is the server API for PredictionService service.

type TextClassificationDatasetMetadata 

type TextClassificationDatasetMetadata struct {
	// Required.
	// Type of the classification problem.
	ClassificationType   ClassificationType `` /* 168-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}           `json:"-"`
	XXX_unrecognized     []byte             `json:"-"`
	XXX_sizecache        int32              `json:"-"`
}

Dataset metadata for classification.

func (*TextClassificationDatasetMetadata) Descriptor 

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

func (*TextClassificationDatasetMetadata) GetClassificationType 

func (m *TextClassificationDatasetMetadata) GetClassificationType() ClassificationType

func (*TextClassificationDatasetMetadata) ProtoMessage 

func (*TextClassificationDatasetMetadata) ProtoMessage()

func (*TextClassificationDatasetMetadata) Reset 

func (m *TextClassificationDatasetMetadata) Reset()

func (*TextClassificationDatasetMetadata) String 

func (m *TextClassificationDatasetMetadata) String() string

func (*TextClassificationDatasetMetadata) XXX_DiscardUnknown 

func (m *TextClassificationDatasetMetadata) XXX_DiscardUnknown()

func (*TextClassificationDatasetMetadata) XXX_Marshal 

func (m *TextClassificationDatasetMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TextClassificationDatasetMetadata) XXX_Merge 

func (dst *TextClassificationDatasetMetadata) XXX_Merge(src proto.Message)

func (*TextClassificationDatasetMetadata) XXX_Size 

func (m *TextClassificationDatasetMetadata) XXX_Size() int

func (*TextClassificationDatasetMetadata) XXX_Unmarshal 

func (m *TextClassificationDatasetMetadata) XXX_Unmarshal(b []byte) error

type TextClassificationModelMetadata 

type TextClassificationModelMetadata struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Model metadata that is specific to text classification.

func (*TextClassificationModelMetadata) Descriptor 

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

func (*TextClassificationModelMetadata) ProtoMessage 

func (*TextClassificationModelMetadata) ProtoMessage()

func (*TextClassificationModelMetadata) Reset 

func (m *TextClassificationModelMetadata) Reset()

func (*TextClassificationModelMetadata) String 

func (m *TextClassificationModelMetadata) String() string

func (*TextClassificationModelMetadata) XXX_DiscardUnknown 

func (m *TextClassificationModelMetadata) XXX_DiscardUnknown()

func (*TextClassificationModelMetadata) XXX_Marshal 

func (m *TextClassificationModelMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TextClassificationModelMetadata) XXX_Merge 

func (dst *TextClassificationModelMetadata) XXX_Merge(src proto.Message)

func (*TextClassificationModelMetadata) XXX_Size 

func (m *TextClassificationModelMetadata) XXX_Size() int

func (*TextClassificationModelMetadata) XXX_Unmarshal 

func (m *TextClassificationModelMetadata) XXX_Unmarshal(b []byte) error

type TextSnippet 

type TextSnippet struct {
	// Required. The content of the text snippet as a string. Up to 250000
	// characters long.
	Content string `protobuf:"bytes,1,opt,name=content,proto3" json:"content,omitempty"`
	// The format of the source text. For example, "text/html" or
	// "text/plain". If left blank the format is automatically determined from
	// the type of the uploaded content. The default is "text/html". Up to 25000
	// characters long.
	MimeType string `protobuf:"bytes,2,opt,name=mime_type,json=mimeType,proto3" json:"mime_type,omitempty"`
	// Output only. HTTP URI where you can download the content.
	ContentUri           string   `protobuf:"bytes,4,opt,name=content_uri,json=contentUri,proto3" json:"content_uri,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

A representation of a text snippet.

func (*TextSnippet) Descriptor 

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

func (*TextSnippet) GetContent 

func (m *TextSnippet) GetContent() string

func (*TextSnippet) GetContentUri 

func (m *TextSnippet) GetContentUri() string

func (*TextSnippet) GetMimeType 

func (m *TextSnippet) GetMimeType() string

func (*TextSnippet) ProtoMessage 

func (*TextSnippet) ProtoMessage()

func (*TextSnippet) Reset 

func (m *TextSnippet) Reset()

func (*TextSnippet) String 

func (m *TextSnippet) String() string

func (*TextSnippet) XXX_DiscardUnknown 

func (m *TextSnippet) XXX_DiscardUnknown()

func (*TextSnippet) XXX_Marshal 

func (m *TextSnippet) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TextSnippet) XXX_Merge 

func (dst *TextSnippet) XXX_Merge(src proto.Message)

func (*TextSnippet) XXX_Size 

func (m *TextSnippet) XXX_Size() int

func (*TextSnippet) XXX_Unmarshal 

func (m *TextSnippet) XXX_Unmarshal(b []byte) error

type TranslationAnnotation 

type TranslationAnnotation struct {
	// Output only . The translated content.
	TranslatedContent    *TextSnippet `protobuf:"bytes,1,opt,name=translated_content,json=translatedContent,proto3" json:"translated_content,omitempty"`
	XXX_NoUnkeyedLiteral struct{}     `json:"-"`
	XXX_unrecognized     []byte       `json:"-"`
	XXX_sizecache        int32        `json:"-"`
}

Annotation details specific to translation.

func (*TranslationAnnotation) Descriptor 

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

func (*TranslationAnnotation) GetTranslatedContent 

func (m *TranslationAnnotation) GetTranslatedContent() *TextSnippet

func (*TranslationAnnotation) ProtoMessage 

func (*TranslationAnnotation) ProtoMessage()

func (*TranslationAnnotation) Reset 

func (m *TranslationAnnotation) Reset()

func (*TranslationAnnotation) String 

func (m *TranslationAnnotation) String() string

func (*TranslationAnnotation) XXX_DiscardUnknown 

func (m *TranslationAnnotation) XXX_DiscardUnknown()

func (*TranslationAnnotation) XXX_Marshal 

func (m *TranslationAnnotation) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TranslationAnnotation) XXX_Merge 

func (dst *TranslationAnnotation) XXX_Merge(src proto.Message)

func (*TranslationAnnotation) XXX_Size 

func (m *TranslationAnnotation) XXX_Size() int

func (*TranslationAnnotation) XXX_Unmarshal 

func (m *TranslationAnnotation) XXX_Unmarshal(b []byte) error

type TranslationDatasetMetadata 

type TranslationDatasetMetadata struct {
	// Required. The BCP-47 language code of the source language.
	SourceLanguageCode string `protobuf:"bytes,1,opt,name=source_language_code,json=sourceLanguageCode,proto3" json:"source_language_code,omitempty"`
	// Required. The BCP-47 language code of the target language.
	TargetLanguageCode   string   `protobuf:"bytes,2,opt,name=target_language_code,json=targetLanguageCode,proto3" json:"target_language_code,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Dataset metadata that is specific to translation.

func (*TranslationDatasetMetadata) Descriptor 

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

func (*TranslationDatasetMetadata) GetSourceLanguageCode 

func (m *TranslationDatasetMetadata) GetSourceLanguageCode() string

func (*TranslationDatasetMetadata) GetTargetLanguageCode 

func (m *TranslationDatasetMetadata) GetTargetLanguageCode() string

func (*TranslationDatasetMetadata) ProtoMessage 

func (*TranslationDatasetMetadata) ProtoMessage()

func (*TranslationDatasetMetadata) Reset 

func (m *TranslationDatasetMetadata) Reset()

func (*TranslationDatasetMetadata) String 

func (m *TranslationDatasetMetadata) String() string

func (*TranslationDatasetMetadata) XXX_DiscardUnknown 

func (m *TranslationDatasetMetadata) XXX_DiscardUnknown()

func (*TranslationDatasetMetadata) XXX_Marshal 

func (m *TranslationDatasetMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TranslationDatasetMetadata) XXX_Merge 

func (dst *TranslationDatasetMetadata) XXX_Merge(src proto.Message)

func (*TranslationDatasetMetadata) XXX_Size 

func (m *TranslationDatasetMetadata) XXX_Size() int

func (*TranslationDatasetMetadata) XXX_Unmarshal 

func (m *TranslationDatasetMetadata) XXX_Unmarshal(b []byte) error

type TranslationEvaluationMetrics 

type TranslationEvaluationMetrics struct {
	// Output only. BLEU score.
	BleuScore float64 `protobuf:"fixed64,1,opt,name=bleu_score,json=bleuScore,proto3" json:"bleu_score,omitempty"`
	// Output only. BLEU score for base model.
	BaseBleuScore        float64  `protobuf:"fixed64,2,opt,name=base_bleu_score,json=baseBleuScore,proto3" json:"base_bleu_score,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Evaluation metrics for the dataset.

func (*TranslationEvaluationMetrics) Descriptor 

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

func (*TranslationEvaluationMetrics) GetBaseBleuScore 

func (m *TranslationEvaluationMetrics) GetBaseBleuScore() float64

func (*TranslationEvaluationMetrics) GetBleuScore 

func (m *TranslationEvaluationMetrics) GetBleuScore() float64

func (*TranslationEvaluationMetrics) ProtoMessage 

func (*TranslationEvaluationMetrics) ProtoMessage()

func (*TranslationEvaluationMetrics) Reset 

func (m *TranslationEvaluationMetrics) Reset()

func (*TranslationEvaluationMetrics) String 

func (m *TranslationEvaluationMetrics) String() string

func (*TranslationEvaluationMetrics) XXX_DiscardUnknown 

func (m *TranslationEvaluationMetrics) XXX_DiscardUnknown()

func (*TranslationEvaluationMetrics) XXX_Marshal 

func (m *TranslationEvaluationMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TranslationEvaluationMetrics) XXX_Merge 

func (dst *TranslationEvaluationMetrics) XXX_Merge(src proto.Message)

func (*TranslationEvaluationMetrics) XXX_Size 

func (m *TranslationEvaluationMetrics) XXX_Size() int

func (*TranslationEvaluationMetrics) XXX_Unmarshal 

func (m *TranslationEvaluationMetrics) XXX_Unmarshal(b []byte) error

type TranslationModelMetadata 

type TranslationModelMetadata struct {
	// The resource name of the model to use as a baseline to train the custom
	// model. If unset, we use the default base model provided by Google
	// Translate. Format:
	// `projects/{project_id}/locations/{location_id}/models/{model_id}`
	BaseModel string `protobuf:"bytes,1,opt,name=base_model,json=baseModel,proto3" json:"base_model,omitempty"`
	// Output only. Inferred from the dataset.
	// The source languge (The BCP-47 language code) that is used for training.
	SourceLanguageCode string `protobuf:"bytes,2,opt,name=source_language_code,json=sourceLanguageCode,proto3" json:"source_language_code,omitempty"`
	// Output only. The target languge (The BCP-47 language code) that is used for
	// training.
	TargetLanguageCode   string   `protobuf:"bytes,3,opt,name=target_language_code,json=targetLanguageCode,proto3" json:"target_language_code,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Model metadata that is specific to translation.

func (*TranslationModelMetadata) Descriptor 

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

func (*TranslationModelMetadata) GetBaseModel 

func (m *TranslationModelMetadata) GetBaseModel() string

func (*TranslationModelMetadata) GetSourceLanguageCode 

func (m *TranslationModelMetadata) GetSourceLanguageCode() string

func (*TranslationModelMetadata) GetTargetLanguageCode 

func (m *TranslationModelMetadata) GetTargetLanguageCode() string

func (*TranslationModelMetadata) ProtoMessage 

func (*TranslationModelMetadata) ProtoMessage()

func (*TranslationModelMetadata) Reset 

func (m *TranslationModelMetadata) Reset()

func (*TranslationModelMetadata) String 

func (m *TranslationModelMetadata) String() string

func (*TranslationModelMetadata) XXX_DiscardUnknown 

func (m *TranslationModelMetadata) XXX_DiscardUnknown()

func (*TranslationModelMetadata) XXX_Marshal 

func (m *TranslationModelMetadata) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TranslationModelMetadata) XXX_Merge 

func (dst *TranslationModelMetadata) XXX_Merge(src proto.Message)

func (*TranslationModelMetadata) XXX_Size 

func (m *TranslationModelMetadata) XXX_Size() int

func (*TranslationModelMetadata) XXX_Unmarshal 

func (m *TranslationModelMetadata) XXX_Unmarshal(b []byte) error

type UndeployModelRequest 

type UndeployModelRequest struct {
	// Resource name of the model to undeploy.
	Name                 string   `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].

func (*UndeployModelRequest) Descriptor 

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

func (*UndeployModelRequest) GetName 

func (m *UndeployModelRequest) GetName() string

func (*UndeployModelRequest) ProtoMessage 

func (*UndeployModelRequest) ProtoMessage()

func (*UndeployModelRequest) Reset 

func (m *UndeployModelRequest) Reset()

func (*UndeployModelRequest) String 

func (m *UndeployModelRequest) String() string

func (*UndeployModelRequest) XXX_DiscardUnknown 

func (m *UndeployModelRequest) XXX_DiscardUnknown()

func (*UndeployModelRequest) XXX_Marshal 

func (m *UndeployModelRequest) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*UndeployModelRequest) XXX_Merge 

func (dst *UndeployModelRequest) XXX_Merge(src proto.Message)

func (*UndeployModelRequest) XXX_Size 

func (m *UndeployModelRequest) XXX_Size() int

func (*UndeployModelRequest) XXX_Unmarshal 

func (m *UndeployModelRequest) XXX_Unmarshal(b []byte) error

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