Documentation ¶
Index ¶
- func PossibleValuesForBlockedTransformers() []string
- func PossibleValuesForClassificationModels() []string
- func PossibleValuesForClassificationMultilabelPrimaryMetrics() []string
- func PossibleValuesForClassificationPrimaryMetrics() []string
- func PossibleValuesForDistributionType() []string
- func PossibleValuesForEarlyTerminationPolicyType() []string
- func PossibleValuesForFeatureLags() []string
- func PossibleValuesForFeaturizationMode() []string
- func PossibleValuesForForecastHorizonMode() []string
- func PossibleValuesForForecastingModels() []string
- func PossibleValuesForForecastingPrimaryMetrics() []string
- func PossibleValuesForGoal() []string
- func PossibleValuesForIdentityConfigurationType() []string
- func PossibleValuesForInputDeliveryMode() []string
- func PossibleValuesForInstanceSegmentationPrimaryMetrics() []string
- func PossibleValuesForJobInputType() []string
- func PossibleValuesForJobLimitsType() []string
- func PossibleValuesForJobOutputType() []string
- func PossibleValuesForJobStatus() []string
- func PossibleValuesForJobTier() []string
- func PossibleValuesForJobType() []string
- func PossibleValuesForLearningRateScheduler() []string
- func PossibleValuesForListViewType() []string
- func PossibleValuesForLogVerbosity() []string
- func PossibleValuesForModelSize() []string
- func PossibleValuesForNCrossValidationsMode() []string
- func PossibleValuesForNodesValueType() []string
- func PossibleValuesForObjectDetectionPrimaryMetrics() []string
- func PossibleValuesForOutputDeliveryMode() []string
- func PossibleValuesForRandomSamplingAlgorithmRule() []string
- func PossibleValuesForRegressionModels() []string
- func PossibleValuesForRegressionPrimaryMetrics() []string
- func PossibleValuesForSamplingAlgorithmType() []string
- func PossibleValuesForSeasonalityMode() []string
- func PossibleValuesForShortSeriesHandlingConfiguration() []string
- func PossibleValuesForStackMetaLearnerType() []string
- func PossibleValuesForStochasticOptimizer() []string
- func PossibleValuesForTargetAggregationFunction() []string
- func PossibleValuesForTargetLagsMode() []string
- func PossibleValuesForTargetRollingWindowSizeMode() []string
- func PossibleValuesForTaskType() []string
- func PossibleValuesForUseStl() []string
- func PossibleValuesForValidationMetricType() []string
- func ValidateJobID(input interface{}, key string) (warnings []string, errors []error)
- func ValidateWorkspaceID(input interface{}, key string) (warnings []string, errors []error)
- type AllNodes
- type AmlToken
- type AutoForecastHorizon
- type AutoMLJob
- type AutoMLVertical
- type AutoNCrossValidations
- type AutoSeasonality
- type AutoTargetLags
- type AutoTargetRollingWindowSize
- type BanditPolicy
- type BayesianSamplingAlgorithm
- type BlockedTransformers
- type CancelOperationResponse
- type Classification
- type ClassificationModels
- type ClassificationMultilabelPrimaryMetrics
- type ClassificationPrimaryMetrics
- type ClassificationTrainingSettings
- type ColumnTransformer
- type CommandJob
- type CommandJobLimits
- type CreateOrUpdateOperationResponse
- type CustomForecastHorizon
- type CustomModelJobInput
- type CustomModelJobOutput
- type CustomNCrossValidations
- type CustomSeasonality
- type CustomTargetLags
- type CustomTargetRollingWindowSize
- type DeleteOperationResponse
- type DistributionConfiguration
- type DistributionType
- type EarlyTerminationPolicy
- type EarlyTerminationPolicyType
- type FeatureLags
- type FeaturizationMode
- type FeaturizationSettings
- type ForecastHorizon
- type ForecastHorizonMode
- type Forecasting
- type ForecastingModels
- type ForecastingPrimaryMetrics
- type ForecastingSettings
- type ForecastingTrainingSettings
- type GetOperationResponse
- type Goal
- type GridSamplingAlgorithm
- type IdentityConfiguration
- type IdentityConfigurationType
- type ImageClassification
- type ImageClassificationMultilabel
- type ImageInstanceSegmentation
- type ImageLimitSettings
- type ImageModelDistributionSettingsClassification
- type ImageModelDistributionSettingsObjectDetection
- type ImageModelSettingsClassification
- type ImageModelSettingsObjectDetection
- type ImageObjectDetection
- type ImageSweepSettings
- type InputDeliveryMode
- type InstanceSegmentationPrimaryMetrics
- type JobBase
- type JobBaseResource
- type JobBaseResourceOperationPredicate
- type JobClient
- func (c JobClient) Cancel(ctx context.Context, id JobId) (result CancelOperationResponse, err error)
- func (c JobClient) CancelThenPoll(ctx context.Context, id JobId) error
- func (c JobClient) CreateOrUpdate(ctx context.Context, id JobId, input JobBaseResource) (result CreateOrUpdateOperationResponse, err error)
- func (c JobClient) Delete(ctx context.Context, id JobId) (result DeleteOperationResponse, err error)
- func (c JobClient) DeleteThenPoll(ctx context.Context, id JobId) error
- func (c JobClient) Get(ctx context.Context, id JobId) (result GetOperationResponse, err error)
- func (c JobClient) List(ctx context.Context, id WorkspaceId, options ListOperationOptions) (result ListOperationResponse, err error)
- func (c JobClient) ListComplete(ctx context.Context, id WorkspaceId, options ListOperationOptions) (ListCompleteResult, error)
- func (c JobClient) ListCompleteMatchingPredicate(ctx context.Context, id WorkspaceId, options ListOperationOptions, ...) (result ListCompleteResult, err error)
- type JobId
- type JobInput
- type JobInputType
- type JobLimits
- type JobLimitsType
- type JobOutput
- type JobOutputType
- type JobResourceConfiguration
- type JobService
- type JobStatus
- type JobTier
- type JobType
- type LearningRateScheduler
- type ListCompleteResult
- type ListOperationOptions
- type ListOperationResponse
- type ListViewType
- type LiteralJobInput
- type LogVerbosity
- type MLFlowModelJobInput
- type MLFlowModelJobOutput
- type MLTableJobInput
- type MLTableJobOutput
- type ManagedIdentity
- type MedianStoppingPolicy
- type ModelSize
- type Mpi
- type NCrossValidations
- type NCrossValidationsMode
- type NlpVerticalLimitSettings
- type Nodes
- type NodesValueType
- type ObjectDetectionPrimaryMetrics
- type Objective
- type OutputDeliveryMode
- type PipelineJob
- type PyTorch
- type QueueSettings
- type RandomSamplingAlgorithm
- type RandomSamplingAlgorithmRule
- type RawAutoMLVerticalImpl
- type RawDistributionConfigurationImpl
- type RawEarlyTerminationPolicyImpl
- type RawForecastHorizonImpl
- type RawIdentityConfigurationImpl
- type RawJobBaseImpl
- type RawJobInputImpl
- type RawJobLimitsImpl
- type RawJobOutputImpl
- type RawNCrossValidationsImpl
- type RawNodesImpl
- type RawSamplingAlgorithmImpl
- type RawSeasonalityImpl
- type RawTargetLagsImpl
- type RawTargetRollingWindowSizeImpl
- type Regression
- type RegressionModels
- type RegressionPrimaryMetrics
- type RegressionTrainingSettings
- type SamplingAlgorithm
- type SamplingAlgorithmType
- type Seasonality
- type SeasonalityMode
- type ShortSeriesHandlingConfiguration
- type StackEnsembleSettings
- type StackMetaLearnerType
- type StochasticOptimizer
- type SweepJob
- type SweepJobLimits
- type TableVerticalFeaturizationSettings
- type TableVerticalLimitSettings
- type TargetAggregationFunction
- type TargetLags
- type TargetLagsMode
- type TargetRollingWindowSize
- type TargetRollingWindowSizeMode
- type TaskType
- type TensorFlow
- type TextClassification
- type TextClassificationMultilabel
- type TextNer
- type TrialComponent
- type TritonModelJobInput
- type TritonModelJobOutput
- type TruncationSelectionPolicy
- type UriFileJobInput
- type UriFileJobOutput
- type UriFolderJobInput
- type UriFolderJobOutput
- type UseStl
- type UserIdentity
- type ValidationMetricType
- type WorkspaceId
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func PossibleValuesForBlockedTransformers ¶
func PossibleValuesForBlockedTransformers() []string
func PossibleValuesForClassificationModels ¶
func PossibleValuesForClassificationModels() []string
func PossibleValuesForClassificationMultilabelPrimaryMetrics ¶
func PossibleValuesForClassificationMultilabelPrimaryMetrics() []string
func PossibleValuesForClassificationPrimaryMetrics ¶
func PossibleValuesForClassificationPrimaryMetrics() []string
func PossibleValuesForDistributionType ¶
func PossibleValuesForDistributionType() []string
func PossibleValuesForEarlyTerminationPolicyType ¶
func PossibleValuesForEarlyTerminationPolicyType() []string
func PossibleValuesForFeatureLags ¶
func PossibleValuesForFeatureLags() []string
func PossibleValuesForFeaturizationMode ¶
func PossibleValuesForFeaturizationMode() []string
func PossibleValuesForForecastHorizonMode ¶
func PossibleValuesForForecastHorizonMode() []string
func PossibleValuesForForecastingModels ¶
func PossibleValuesForForecastingModels() []string
func PossibleValuesForForecastingPrimaryMetrics ¶
func PossibleValuesForForecastingPrimaryMetrics() []string
func PossibleValuesForGoal ¶
func PossibleValuesForGoal() []string
func PossibleValuesForIdentityConfigurationType ¶
func PossibleValuesForIdentityConfigurationType() []string
func PossibleValuesForInputDeliveryMode ¶
func PossibleValuesForInputDeliveryMode() []string
func PossibleValuesForInstanceSegmentationPrimaryMetrics ¶
func PossibleValuesForInstanceSegmentationPrimaryMetrics() []string
func PossibleValuesForJobInputType ¶
func PossibleValuesForJobInputType() []string
func PossibleValuesForJobLimitsType ¶
func PossibleValuesForJobLimitsType() []string
func PossibleValuesForJobOutputType ¶
func PossibleValuesForJobOutputType() []string
func PossibleValuesForJobStatus ¶
func PossibleValuesForJobStatus() []string
func PossibleValuesForJobTier ¶
func PossibleValuesForJobTier() []string
func PossibleValuesForJobType ¶
func PossibleValuesForJobType() []string
func PossibleValuesForLearningRateScheduler ¶
func PossibleValuesForLearningRateScheduler() []string
func PossibleValuesForListViewType ¶
func PossibleValuesForListViewType() []string
func PossibleValuesForLogVerbosity ¶
func PossibleValuesForLogVerbosity() []string
func PossibleValuesForModelSize ¶
func PossibleValuesForModelSize() []string
func PossibleValuesForNCrossValidationsMode ¶
func PossibleValuesForNCrossValidationsMode() []string
func PossibleValuesForNodesValueType ¶
func PossibleValuesForNodesValueType() []string
func PossibleValuesForObjectDetectionPrimaryMetrics ¶
func PossibleValuesForObjectDetectionPrimaryMetrics() []string
func PossibleValuesForOutputDeliveryMode ¶
func PossibleValuesForOutputDeliveryMode() []string
func PossibleValuesForRandomSamplingAlgorithmRule ¶
func PossibleValuesForRandomSamplingAlgorithmRule() []string
func PossibleValuesForRegressionModels ¶
func PossibleValuesForRegressionModels() []string
func PossibleValuesForRegressionPrimaryMetrics ¶
func PossibleValuesForRegressionPrimaryMetrics() []string
func PossibleValuesForSamplingAlgorithmType ¶
func PossibleValuesForSamplingAlgorithmType() []string
func PossibleValuesForSeasonalityMode ¶
func PossibleValuesForSeasonalityMode() []string
func PossibleValuesForShortSeriesHandlingConfiguration ¶
func PossibleValuesForShortSeriesHandlingConfiguration() []string
func PossibleValuesForStackMetaLearnerType ¶
func PossibleValuesForStackMetaLearnerType() []string
func PossibleValuesForStochasticOptimizer ¶
func PossibleValuesForStochasticOptimizer() []string
func PossibleValuesForTargetAggregationFunction ¶
func PossibleValuesForTargetAggregationFunction() []string
func PossibleValuesForTargetLagsMode ¶
func PossibleValuesForTargetLagsMode() []string
func PossibleValuesForTargetRollingWindowSizeMode ¶
func PossibleValuesForTargetRollingWindowSizeMode() []string
func PossibleValuesForTaskType ¶
func PossibleValuesForTaskType() []string
func PossibleValuesForUseStl ¶
func PossibleValuesForUseStl() []string
func PossibleValuesForValidationMetricType ¶
func PossibleValuesForValidationMetricType() []string
func ValidateJobID ¶
ValidateJobID checks that 'input' can be parsed as a Job ID
func ValidateWorkspaceID ¶
ValidateWorkspaceID checks that 'input' can be parsed as a Workspace ID
Types ¶
type AutoForecastHorizon ¶
type AutoForecastHorizon struct { }
func (AutoForecastHorizon) MarshalJSON ¶
func (s AutoForecastHorizon) MarshalJSON() ([]byte, error)
type AutoMLJob ¶
type AutoMLJob struct { EnvironmentId *string `json:"environmentId,omitempty"` EnvironmentVariables *map[string]string `json:"environmentVariables,omitempty"` Outputs *map[string]JobOutput `json:"outputs,omitempty"` QueueSettings *QueueSettings `json:"queueSettings,omitempty"` Resources *JobResourceConfiguration `json:"resources,omitempty"` TaskDetails AutoMLVertical `json:"taskDetails"` // Fields inherited from JobBase ComponentId *string `json:"componentId,omitempty"` ComputeId *string `json:"computeId,omitempty"` Description *string `json:"description,omitempty"` DisplayName *string `json:"displayName,omitempty"` ExperimentName *string `json:"experimentName,omitempty"` Identity IdentityConfiguration `json:"identity"` IsArchived *bool `json:"isArchived,omitempty"` Properties *map[string]string `json:"properties,omitempty"` Services *map[string]JobService `json:"services,omitempty"` Status *JobStatus `json:"status,omitempty"` Tags *map[string]string `json:"tags,omitempty"` }
func (AutoMLJob) MarshalJSON ¶
func (*AutoMLJob) UnmarshalJSON ¶
type AutoMLVertical ¶
type AutoMLVertical interface { }
type AutoNCrossValidations ¶
type AutoNCrossValidations struct { }
func (AutoNCrossValidations) MarshalJSON ¶
func (s AutoNCrossValidations) MarshalJSON() ([]byte, error)
type AutoSeasonality ¶
type AutoSeasonality struct { }
func (AutoSeasonality) MarshalJSON ¶
func (s AutoSeasonality) MarshalJSON() ([]byte, error)
type AutoTargetLags ¶
type AutoTargetLags struct { }
func (AutoTargetLags) MarshalJSON ¶
func (s AutoTargetLags) MarshalJSON() ([]byte, error)
type AutoTargetRollingWindowSize ¶
type AutoTargetRollingWindowSize struct { }
func (AutoTargetRollingWindowSize) MarshalJSON ¶
func (s AutoTargetRollingWindowSize) MarshalJSON() ([]byte, error)
type BanditPolicy ¶
type BanditPolicy struct { SlackAmount *float64 `json:"slackAmount,omitempty"` SlackFactor *float64 `json:"slackFactor,omitempty"` // Fields inherited from EarlyTerminationPolicy DelayEvaluation *int64 `json:"delayEvaluation,omitempty"` EvaluationInterval *int64 `json:"evaluationInterval,omitempty"` }
func (BanditPolicy) MarshalJSON ¶
func (s BanditPolicy) MarshalJSON() ([]byte, error)
type BayesianSamplingAlgorithm ¶
type BayesianSamplingAlgorithm struct { }
func (BayesianSamplingAlgorithm) MarshalJSON ¶
func (s BayesianSamplingAlgorithm) MarshalJSON() ([]byte, error)
type BlockedTransformers ¶
type BlockedTransformers string
const ( BlockedTransformersCatTargetEncoder BlockedTransformers = "CatTargetEncoder" BlockedTransformersCountVectorizer BlockedTransformers = "CountVectorizer" BlockedTransformersHashOneHotEncoder BlockedTransformers = "HashOneHotEncoder" BlockedTransformersLabelEncoder BlockedTransformers = "LabelEncoder" BlockedTransformersNaiveBayes BlockedTransformers = "NaiveBayes" BlockedTransformersOneHotEncoder BlockedTransformers = "OneHotEncoder" BlockedTransformersTextTargetEncoder BlockedTransformers = "TextTargetEncoder" BlockedTransformersTfIdf BlockedTransformers = "TfIdf" BlockedTransformersWoETargetEncoder BlockedTransformers = "WoETargetEncoder" BlockedTransformersWordEmbedding BlockedTransformers = "WordEmbedding" )
func (*BlockedTransformers) UnmarshalJSON ¶
func (s *BlockedTransformers) UnmarshalJSON(bytes []byte) error
type CancelOperationResponse ¶
type Classification ¶
type Classification struct { CvSplitColumnNames *[]string `json:"cvSplitColumnNames,omitempty"` FeaturizationSettings *TableVerticalFeaturizationSettings `json:"featurizationSettings,omitempty"` LimitSettings *TableVerticalLimitSettings `json:"limitSettings,omitempty"` NCrossValidations NCrossValidations `json:"nCrossValidations"` PositiveLabel *string `json:"positiveLabel,omitempty"` PrimaryMetric *ClassificationPrimaryMetrics `json:"primaryMetric,omitempty"` TestData *MLTableJobInput `json:"testData,omitempty"` TestDataSize *float64 `json:"testDataSize,omitempty"` TrainingSettings *ClassificationTrainingSettings `json:"trainingSettings,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` ValidationDataSize *float64 `json:"validationDataSize,omitempty"` WeightColumnName *string `json:"weightColumnName,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (Classification) MarshalJSON ¶
func (s Classification) MarshalJSON() ([]byte, error)
func (*Classification) UnmarshalJSON ¶
func (s *Classification) UnmarshalJSON(bytes []byte) error
type ClassificationModels ¶
type ClassificationModels string
const ( ClassificationModelsBernoulliNaiveBayes ClassificationModels = "BernoulliNaiveBayes" ClassificationModelsDecisionTree ClassificationModels = "DecisionTree" ClassificationModelsExtremeRandomTrees ClassificationModels = "ExtremeRandomTrees" ClassificationModelsGradientBoosting ClassificationModels = "GradientBoosting" ClassificationModelsKNN ClassificationModels = "KNN" ClassificationModelsLightGBM ClassificationModels = "LightGBM" ClassificationModelsLinearSVM ClassificationModels = "LinearSVM" ClassificationModelsLogisticRegression ClassificationModels = "LogisticRegression" ClassificationModelsMultinomialNaiveBayes ClassificationModels = "MultinomialNaiveBayes" ClassificationModelsRandomForest ClassificationModels = "RandomForest" ClassificationModelsSGD ClassificationModels = "SGD" ClassificationModelsSVM ClassificationModels = "SVM" ClassificationModelsXGBoostClassifier ClassificationModels = "XGBoostClassifier" )
func (*ClassificationModels) UnmarshalJSON ¶
func (s *ClassificationModels) UnmarshalJSON(bytes []byte) error
type ClassificationMultilabelPrimaryMetrics ¶
type ClassificationMultilabelPrimaryMetrics string
const ( ClassificationMultilabelPrimaryMetricsAUCWeighted ClassificationMultilabelPrimaryMetrics = "AUCWeighted" ClassificationMultilabelPrimaryMetricsAccuracy ClassificationMultilabelPrimaryMetrics = "Accuracy" ClassificationMultilabelPrimaryMetricsAveragePrecisionScoreWeighted ClassificationMultilabelPrimaryMetrics = "AveragePrecisionScoreWeighted" ClassificationMultilabelPrimaryMetricsIOU ClassificationMultilabelPrimaryMetrics = "IOU" ClassificationMultilabelPrimaryMetricsNormMacroRecall ClassificationMultilabelPrimaryMetrics = "NormMacroRecall" ClassificationMultilabelPrimaryMetricsPrecisionScoreWeighted ClassificationMultilabelPrimaryMetrics = "PrecisionScoreWeighted" )
func (*ClassificationMultilabelPrimaryMetrics) UnmarshalJSON ¶
func (s *ClassificationMultilabelPrimaryMetrics) UnmarshalJSON(bytes []byte) error
type ClassificationPrimaryMetrics ¶
type ClassificationPrimaryMetrics string
const ( ClassificationPrimaryMetricsAUCWeighted ClassificationPrimaryMetrics = "AUCWeighted" ClassificationPrimaryMetricsAccuracy ClassificationPrimaryMetrics = "Accuracy" ClassificationPrimaryMetricsAveragePrecisionScoreWeighted ClassificationPrimaryMetrics = "AveragePrecisionScoreWeighted" ClassificationPrimaryMetricsNormMacroRecall ClassificationPrimaryMetrics = "NormMacroRecall" ClassificationPrimaryMetricsPrecisionScoreWeighted ClassificationPrimaryMetrics = "PrecisionScoreWeighted" )
func (*ClassificationPrimaryMetrics) UnmarshalJSON ¶
func (s *ClassificationPrimaryMetrics) UnmarshalJSON(bytes []byte) error
type ClassificationTrainingSettings ¶
type ClassificationTrainingSettings struct { AllowedTrainingAlgorithms *[]ClassificationModels `json:"allowedTrainingAlgorithms,omitempty"` BlockedTrainingAlgorithms *[]ClassificationModels `json:"blockedTrainingAlgorithms,omitempty"` EnableDnnTraining *bool `json:"enableDnnTraining,omitempty"` EnableModelExplainability *bool `json:"enableModelExplainability,omitempty"` EnableOnnxCompatibleModels *bool `json:"enableOnnxCompatibleModels,omitempty"` EnableStackEnsemble *bool `json:"enableStackEnsemble,omitempty"` EnableVoteEnsemble *bool `json:"enableVoteEnsemble,omitempty"` EnsembleModelDownloadTimeout *string `json:"ensembleModelDownloadTimeout,omitempty"` StackEnsembleSettings *StackEnsembleSettings `json:"stackEnsembleSettings,omitempty"` }
type ColumnTransformer ¶
type ColumnTransformer struct { Fields *[]string `json:"fields,omitempty"` Parameters *interface{} `json:"parameters,omitempty"` }
type CommandJob ¶
type CommandJob struct { CodeId *string `json:"codeId,omitempty"` Command string `json:"command"` Distribution DistributionConfiguration `json:"distribution"` EnvironmentId string `json:"environmentId"` EnvironmentVariables *map[string]string `json:"environmentVariables,omitempty"` Inputs *map[string]JobInput `json:"inputs,omitempty"` Limits JobLimits `json:"limits"` Outputs *map[string]JobOutput `json:"outputs,omitempty"` Parameters *interface{} `json:"parameters,omitempty"` QueueSettings *QueueSettings `json:"queueSettings,omitempty"` Resources *JobResourceConfiguration `json:"resources,omitempty"` // Fields inherited from JobBase ComponentId *string `json:"componentId,omitempty"` ComputeId *string `json:"computeId,omitempty"` Description *string `json:"description,omitempty"` DisplayName *string `json:"displayName,omitempty"` ExperimentName *string `json:"experimentName,omitempty"` Identity IdentityConfiguration `json:"identity"` IsArchived *bool `json:"isArchived,omitempty"` Properties *map[string]string `json:"properties,omitempty"` Services *map[string]JobService `json:"services,omitempty"` Status *JobStatus `json:"status,omitempty"` Tags *map[string]string `json:"tags,omitempty"` }
func (CommandJob) MarshalJSON ¶
func (s CommandJob) MarshalJSON() ([]byte, error)
func (*CommandJob) UnmarshalJSON ¶
func (s *CommandJob) UnmarshalJSON(bytes []byte) error
type CommandJobLimits ¶
type CommandJobLimits struct { // Fields inherited from JobLimits Timeout *string `json:"timeout,omitempty"` }
func (CommandJobLimits) MarshalJSON ¶
func (s CommandJobLimits) MarshalJSON() ([]byte, error)
type CreateOrUpdateOperationResponse ¶
type CreateOrUpdateOperationResponse struct { HttpResponse *http.Response OData *odata.OData Model *JobBaseResource }
type CustomForecastHorizon ¶
type CustomForecastHorizon struct {
Value int64 `json:"value"`
}
func (CustomForecastHorizon) MarshalJSON ¶
func (s CustomForecastHorizon) MarshalJSON() ([]byte, error)
type CustomModelJobInput ¶
type CustomModelJobInput struct { Mode *InputDeliveryMode `json:"mode,omitempty"` Uri string `json:"uri"` // Fields inherited from JobInput Description *string `json:"description,omitempty"` }
func (CustomModelJobInput) MarshalJSON ¶
func (s CustomModelJobInput) MarshalJSON() ([]byte, error)
type CustomModelJobOutput ¶
type CustomModelJobOutput struct { Mode *OutputDeliveryMode `json:"mode,omitempty"` Uri *string `json:"uri,omitempty"` // Fields inherited from JobOutput Description *string `json:"description,omitempty"` }
func (CustomModelJobOutput) MarshalJSON ¶
func (s CustomModelJobOutput) MarshalJSON() ([]byte, error)
type CustomNCrossValidations ¶
type CustomNCrossValidations struct {
Value int64 `json:"value"`
}
func (CustomNCrossValidations) MarshalJSON ¶
func (s CustomNCrossValidations) MarshalJSON() ([]byte, error)
type CustomSeasonality ¶
type CustomSeasonality struct {
Value int64 `json:"value"`
}
func (CustomSeasonality) MarshalJSON ¶
func (s CustomSeasonality) MarshalJSON() ([]byte, error)
type CustomTargetLags ¶
type CustomTargetLags struct {
Values []int64 `json:"values"`
}
func (CustomTargetLags) MarshalJSON ¶
func (s CustomTargetLags) MarshalJSON() ([]byte, error)
type CustomTargetRollingWindowSize ¶
type CustomTargetRollingWindowSize struct {
Value int64 `json:"value"`
}
func (CustomTargetRollingWindowSize) MarshalJSON ¶
func (s CustomTargetRollingWindowSize) MarshalJSON() ([]byte, error)
type DeleteOperationResponse ¶
type DistributionConfiguration ¶
type DistributionConfiguration interface { }
type DistributionType ¶
type DistributionType string
const ( DistributionTypeMpi DistributionType = "Mpi" DistributionTypePyTorch DistributionType = "PyTorch" DistributionTypeTensorFlow DistributionType = "TensorFlow" )
func (*DistributionType) UnmarshalJSON ¶
func (s *DistributionType) UnmarshalJSON(bytes []byte) error
type EarlyTerminationPolicy ¶
type EarlyTerminationPolicy interface { }
type EarlyTerminationPolicyType ¶
type EarlyTerminationPolicyType string
const ( EarlyTerminationPolicyTypeBandit EarlyTerminationPolicyType = "Bandit" EarlyTerminationPolicyTypeMedianStopping EarlyTerminationPolicyType = "MedianStopping" EarlyTerminationPolicyTypeTruncationSelection EarlyTerminationPolicyType = "TruncationSelection" )
func (*EarlyTerminationPolicyType) UnmarshalJSON ¶
func (s *EarlyTerminationPolicyType) UnmarshalJSON(bytes []byte) error
type FeatureLags ¶
type FeatureLags string
const ( FeatureLagsAuto FeatureLags = "Auto" FeatureLagsNone FeatureLags = "None" )
func (*FeatureLags) UnmarshalJSON ¶
func (s *FeatureLags) UnmarshalJSON(bytes []byte) error
type FeaturizationMode ¶
type FeaturizationMode string
const ( FeaturizationModeAuto FeaturizationMode = "Auto" FeaturizationModeCustom FeaturizationMode = "Custom" FeaturizationModeOff FeaturizationMode = "Off" )
func (*FeaturizationMode) UnmarshalJSON ¶
func (s *FeaturizationMode) UnmarshalJSON(bytes []byte) error
type FeaturizationSettings ¶
type FeaturizationSettings struct {
DatasetLanguage *string `json:"datasetLanguage,omitempty"`
}
type ForecastHorizon ¶
type ForecastHorizon interface { }
type ForecastHorizonMode ¶
type ForecastHorizonMode string
const ( ForecastHorizonModeAuto ForecastHorizonMode = "Auto" ForecastHorizonModeCustom ForecastHorizonMode = "Custom" )
func (*ForecastHorizonMode) UnmarshalJSON ¶
func (s *ForecastHorizonMode) UnmarshalJSON(bytes []byte) error
type Forecasting ¶
type Forecasting struct { CvSplitColumnNames *[]string `json:"cvSplitColumnNames,omitempty"` FeaturizationSettings *TableVerticalFeaturizationSettings `json:"featurizationSettings,omitempty"` ForecastingSettings *ForecastingSettings `json:"forecastingSettings,omitempty"` LimitSettings *TableVerticalLimitSettings `json:"limitSettings,omitempty"` NCrossValidations NCrossValidations `json:"nCrossValidations"` PrimaryMetric *ForecastingPrimaryMetrics `json:"primaryMetric,omitempty"` TestData *MLTableJobInput `json:"testData,omitempty"` TestDataSize *float64 `json:"testDataSize,omitempty"` TrainingSettings *ForecastingTrainingSettings `json:"trainingSettings,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` ValidationDataSize *float64 `json:"validationDataSize,omitempty"` WeightColumnName *string `json:"weightColumnName,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (Forecasting) MarshalJSON ¶
func (s Forecasting) MarshalJSON() ([]byte, error)
func (*Forecasting) UnmarshalJSON ¶
func (s *Forecasting) UnmarshalJSON(bytes []byte) error
type ForecastingModels ¶
type ForecastingModels string
const ( ForecastingModelsArimax ForecastingModels = "Arimax" ForecastingModelsAutoArima ForecastingModels = "AutoArima" ForecastingModelsAverage ForecastingModels = "Average" ForecastingModelsDecisionTree ForecastingModels = "DecisionTree" ForecastingModelsElasticNet ForecastingModels = "ElasticNet" ForecastingModelsExponentialSmoothing ForecastingModels = "ExponentialSmoothing" ForecastingModelsExtremeRandomTrees ForecastingModels = "ExtremeRandomTrees" ForecastingModelsGradientBoosting ForecastingModels = "GradientBoosting" ForecastingModelsKNN ForecastingModels = "KNN" ForecastingModelsLassoLars ForecastingModels = "LassoLars" ForecastingModelsLightGBM ForecastingModels = "LightGBM" ForecastingModelsNaive ForecastingModels = "Naive" ForecastingModelsProphet ForecastingModels = "Prophet" ForecastingModelsRandomForest ForecastingModels = "RandomForest" ForecastingModelsSGD ForecastingModels = "SGD" ForecastingModelsSeasonalAverage ForecastingModels = "SeasonalAverage" ForecastingModelsSeasonalNaive ForecastingModels = "SeasonalNaive" ForecastingModelsTCNForecaster ForecastingModels = "TCNForecaster" ForecastingModelsXGBoostRegressor ForecastingModels = "XGBoostRegressor" )
func (*ForecastingModels) UnmarshalJSON ¶
func (s *ForecastingModels) UnmarshalJSON(bytes []byte) error
type ForecastingPrimaryMetrics ¶
type ForecastingPrimaryMetrics string
const ( ForecastingPrimaryMetricsNormalizedMeanAbsoluteError ForecastingPrimaryMetrics = "NormalizedMeanAbsoluteError" ForecastingPrimaryMetricsNormalizedRootMeanSquaredError ForecastingPrimaryMetrics = "NormalizedRootMeanSquaredError" ForecastingPrimaryMetricsRTwoScore ForecastingPrimaryMetrics = "R2Score" ForecastingPrimaryMetricsSpearmanCorrelation ForecastingPrimaryMetrics = "SpearmanCorrelation" )
func (*ForecastingPrimaryMetrics) UnmarshalJSON ¶
func (s *ForecastingPrimaryMetrics) UnmarshalJSON(bytes []byte) error
type ForecastingSettings ¶
type ForecastingSettings struct { CountryOrRegionForHolidays *string `json:"countryOrRegionForHolidays,omitempty"` CvStepSize *int64 `json:"cvStepSize,omitempty"` FeatureLags *FeatureLags `json:"featureLags,omitempty"` ForecastHorizon ForecastHorizon `json:"forecastHorizon"` Frequency *string `json:"frequency,omitempty"` Seasonality Seasonality `json:"seasonality"` ShortSeriesHandlingConfig *ShortSeriesHandlingConfiguration `json:"shortSeriesHandlingConfig,omitempty"` TargetAggregateFunction *TargetAggregationFunction `json:"targetAggregateFunction,omitempty"` TargetLags TargetLags `json:"targetLags"` TargetRollingWindowSize TargetRollingWindowSize `json:"targetRollingWindowSize"` TimeColumnName *string `json:"timeColumnName,omitempty"` TimeSeriesIdColumnNames *[]string `json:"timeSeriesIdColumnNames,omitempty"` UseStl *UseStl `json:"useStl,omitempty"` }
func (*ForecastingSettings) UnmarshalJSON ¶
func (s *ForecastingSettings) UnmarshalJSON(bytes []byte) error
type ForecastingTrainingSettings ¶
type ForecastingTrainingSettings struct { AllowedTrainingAlgorithms *[]ForecastingModels `json:"allowedTrainingAlgorithms,omitempty"` BlockedTrainingAlgorithms *[]ForecastingModels `json:"blockedTrainingAlgorithms,omitempty"` EnableDnnTraining *bool `json:"enableDnnTraining,omitempty"` EnableModelExplainability *bool `json:"enableModelExplainability,omitempty"` EnableOnnxCompatibleModels *bool `json:"enableOnnxCompatibleModels,omitempty"` EnableStackEnsemble *bool `json:"enableStackEnsemble,omitempty"` EnableVoteEnsemble *bool `json:"enableVoteEnsemble,omitempty"` EnsembleModelDownloadTimeout *string `json:"ensembleModelDownloadTimeout,omitempty"` StackEnsembleSettings *StackEnsembleSettings `json:"stackEnsembleSettings,omitempty"` }
type GetOperationResponse ¶
type GetOperationResponse struct { HttpResponse *http.Response OData *odata.OData Model *JobBaseResource }
type GridSamplingAlgorithm ¶
type GridSamplingAlgorithm struct { }
func (GridSamplingAlgorithm) MarshalJSON ¶
func (s GridSamplingAlgorithm) MarshalJSON() ([]byte, error)
type IdentityConfiguration ¶
type IdentityConfiguration interface { }
type IdentityConfigurationType ¶
type IdentityConfigurationType string
const ( IdentityConfigurationTypeAMLToken IdentityConfigurationType = "AMLToken" IdentityConfigurationTypeManaged IdentityConfigurationType = "Managed" IdentityConfigurationTypeUserIdentity IdentityConfigurationType = "UserIdentity" )
func (*IdentityConfigurationType) UnmarshalJSON ¶
func (s *IdentityConfigurationType) UnmarshalJSON(bytes []byte) error
type ImageClassification ¶
type ImageClassification struct { LimitSettings *ImageLimitSettings `json:"limitSettings,omitempty"` ModelSettings *ImageModelSettingsClassification `json:"modelSettings,omitempty"` PrimaryMetric *ClassificationPrimaryMetrics `json:"primaryMetric,omitempty"` SearchSpace *[]ImageModelDistributionSettingsClassification `json:"searchSpace,omitempty"` SweepSettings *ImageSweepSettings `json:"sweepSettings,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` ValidationDataSize *float64 `json:"validationDataSize,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (ImageClassification) MarshalJSON ¶
func (s ImageClassification) MarshalJSON() ([]byte, error)
type ImageClassificationMultilabel ¶
type ImageClassificationMultilabel struct { LimitSettings *ImageLimitSettings `json:"limitSettings,omitempty"` ModelSettings *ImageModelSettingsClassification `json:"modelSettings,omitempty"` PrimaryMetric *ClassificationMultilabelPrimaryMetrics `json:"primaryMetric,omitempty"` SearchSpace *[]ImageModelDistributionSettingsClassification `json:"searchSpace,omitempty"` SweepSettings *ImageSweepSettings `json:"sweepSettings,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` ValidationDataSize *float64 `json:"validationDataSize,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (ImageClassificationMultilabel) MarshalJSON ¶
func (s ImageClassificationMultilabel) MarshalJSON() ([]byte, error)
type ImageInstanceSegmentation ¶
type ImageInstanceSegmentation struct { LimitSettings *ImageLimitSettings `json:"limitSettings,omitempty"` ModelSettings *ImageModelSettingsObjectDetection `json:"modelSettings,omitempty"` PrimaryMetric *InstanceSegmentationPrimaryMetrics `json:"primaryMetric,omitempty"` SearchSpace *[]ImageModelDistributionSettingsObjectDetection `json:"searchSpace,omitempty"` SweepSettings *ImageSweepSettings `json:"sweepSettings,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` ValidationDataSize *float64 `json:"validationDataSize,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (ImageInstanceSegmentation) MarshalJSON ¶
func (s ImageInstanceSegmentation) MarshalJSON() ([]byte, error)
type ImageLimitSettings ¶
type ImageModelDistributionSettingsClassification ¶
type ImageModelDistributionSettingsClassification struct { AmsGradient *string `json:"amsGradient,omitempty"` Augmentations *string `json:"augmentations,omitempty"` Beta1 *string `json:"beta1,omitempty"` Beta2 *string `json:"beta2,omitempty"` Distributed *string `json:"distributed,omitempty"` EarlyStopping *string `json:"earlyStopping,omitempty"` EarlyStoppingDelay *string `json:"earlyStoppingDelay,omitempty"` EarlyStoppingPatience *string `json:"earlyStoppingPatience,omitempty"` EnableOnnxNormalization *string `json:"enableOnnxNormalization,omitempty"` EvaluationFrequency *string `json:"evaluationFrequency,omitempty"` GradientAccumulationStep *string `json:"gradientAccumulationStep,omitempty"` LayersToFreeze *string `json:"layersToFreeze,omitempty"` LearningRate *string `json:"learningRate,omitempty"` LearningRateScheduler *string `json:"learningRateScheduler,omitempty"` ModelName *string `json:"modelName,omitempty"` Momentum *string `json:"momentum,omitempty"` Nesterov *string `json:"nesterov,omitempty"` NumberOfEpochs *string `json:"numberOfEpochs,omitempty"` NumberOfWorkers *string `json:"numberOfWorkers,omitempty"` Optimizer *string `json:"optimizer,omitempty"` RandomSeed *string `json:"randomSeed,omitempty"` StepLRGamma *string `json:"stepLRGamma,omitempty"` StepLRStepSize *string `json:"stepLRStepSize,omitempty"` TrainingBatchSize *string `json:"trainingBatchSize,omitempty"` TrainingCropSize *string `json:"trainingCropSize,omitempty"` ValidationBatchSize *string `json:"validationBatchSize,omitempty"` ValidationCropSize *string `json:"validationCropSize,omitempty"` ValidationResizeSize *string `json:"validationResizeSize,omitempty"` WarmupCosineLRCycles *string `json:"warmupCosineLRCycles,omitempty"` WarmupCosineLRWarmupEpochs *string `json:"warmupCosineLRWarmupEpochs,omitempty"` WeightDecay *string `json:"weightDecay,omitempty"` WeightedLoss *string `json:"weightedLoss,omitempty"` }
type ImageModelDistributionSettingsObjectDetection ¶
type ImageModelDistributionSettingsObjectDetection struct { AmsGradient *string `json:"amsGradient,omitempty"` Augmentations *string `json:"augmentations,omitempty"` Beta1 *string `json:"beta1,omitempty"` Beta2 *string `json:"beta2,omitempty"` BoxDetectionsPerImage *string `json:"boxDetectionsPerImage,omitempty"` BoxScoreThreshold *string `json:"boxScoreThreshold,omitempty"` Distributed *string `json:"distributed,omitempty"` EarlyStopping *string `json:"earlyStopping,omitempty"` EarlyStoppingDelay *string `json:"earlyStoppingDelay,omitempty"` EarlyStoppingPatience *string `json:"earlyStoppingPatience,omitempty"` EnableOnnxNormalization *string `json:"enableOnnxNormalization,omitempty"` EvaluationFrequency *string `json:"evaluationFrequency,omitempty"` GradientAccumulationStep *string `json:"gradientAccumulationStep,omitempty"` ImageSize *string `json:"imageSize,omitempty"` LayersToFreeze *string `json:"layersToFreeze,omitempty"` LearningRate *string `json:"learningRate,omitempty"` LearningRateScheduler *string `json:"learningRateScheduler,omitempty"` MaxSize *string `json:"maxSize,omitempty"` MinSize *string `json:"minSize,omitempty"` ModelName *string `json:"modelName,omitempty"` ModelSize *string `json:"modelSize,omitempty"` Momentum *string `json:"momentum,omitempty"` MultiScale *string `json:"multiScale,omitempty"` Nesterov *string `json:"nesterov,omitempty"` NmsIouThreshold *string `json:"nmsIouThreshold,omitempty"` NumberOfEpochs *string `json:"numberOfEpochs,omitempty"` NumberOfWorkers *string `json:"numberOfWorkers,omitempty"` Optimizer *string `json:"optimizer,omitempty"` RandomSeed *string `json:"randomSeed,omitempty"` StepLRGamma *string `json:"stepLRGamma,omitempty"` StepLRStepSize *string `json:"stepLRStepSize,omitempty"` TileGridSize *string `json:"tileGridSize,omitempty"` TileOverlapRatio *string `json:"tileOverlapRatio,omitempty"` TilePredictionsNmsThreshold *string `json:"tilePredictionsNmsThreshold,omitempty"` TrainingBatchSize *string `json:"trainingBatchSize,omitempty"` ValidationBatchSize *string `json:"validationBatchSize,omitempty"` ValidationIouThreshold *string `json:"validationIouThreshold,omitempty"` ValidationMetricType *string `json:"validationMetricType,omitempty"` WarmupCosineLRCycles *string `json:"warmupCosineLRCycles,omitempty"` WarmupCosineLRWarmupEpochs *string `json:"warmupCosineLRWarmupEpochs,omitempty"` WeightDecay *string `json:"weightDecay,omitempty"` }
type ImageModelSettingsClassification ¶
type ImageModelSettingsClassification struct { AdvancedSettings *string `json:"advancedSettings,omitempty"` AmsGradient *bool `json:"amsGradient,omitempty"` Augmentations *string `json:"augmentations,omitempty"` Beta1 *float64 `json:"beta1,omitempty"` Beta2 *float64 `json:"beta2,omitempty"` CheckpointFrequency *int64 `json:"checkpointFrequency,omitempty"` CheckpointModel *MLFlowModelJobInput `json:"checkpointModel,omitempty"` CheckpointRunId *string `json:"checkpointRunId,omitempty"` Distributed *bool `json:"distributed,omitempty"` EarlyStopping *bool `json:"earlyStopping,omitempty"` EarlyStoppingDelay *int64 `json:"earlyStoppingDelay,omitempty"` EarlyStoppingPatience *int64 `json:"earlyStoppingPatience,omitempty"` EnableOnnxNormalization *bool `json:"enableOnnxNormalization,omitempty"` EvaluationFrequency *int64 `json:"evaluationFrequency,omitempty"` GradientAccumulationStep *int64 `json:"gradientAccumulationStep,omitempty"` LayersToFreeze *int64 `json:"layersToFreeze,omitempty"` LearningRate *float64 `json:"learningRate,omitempty"` LearningRateScheduler *LearningRateScheduler `json:"learningRateScheduler,omitempty"` ModelName *string `json:"modelName,omitempty"` Momentum *float64 `json:"momentum,omitempty"` Nesterov *bool `json:"nesterov,omitempty"` NumberOfEpochs *int64 `json:"numberOfEpochs,omitempty"` NumberOfWorkers *int64 `json:"numberOfWorkers,omitempty"` Optimizer *StochasticOptimizer `json:"optimizer,omitempty"` RandomSeed *int64 `json:"randomSeed,omitempty"` StepLRGamma *float64 `json:"stepLRGamma,omitempty"` StepLRStepSize *int64 `json:"stepLRStepSize,omitempty"` TrainingBatchSize *int64 `json:"trainingBatchSize,omitempty"` TrainingCropSize *int64 `json:"trainingCropSize,omitempty"` ValidationBatchSize *int64 `json:"validationBatchSize,omitempty"` ValidationCropSize *int64 `json:"validationCropSize,omitempty"` ValidationResizeSize *int64 `json:"validationResizeSize,omitempty"` WarmupCosineLRCycles *float64 `json:"warmupCosineLRCycles,omitempty"` WarmupCosineLRWarmupEpochs *int64 `json:"warmupCosineLRWarmupEpochs,omitempty"` WeightDecay *float64 `json:"weightDecay,omitempty"` WeightedLoss *int64 `json:"weightedLoss,omitempty"` }
type ImageModelSettingsObjectDetection ¶
type ImageModelSettingsObjectDetection struct { AdvancedSettings *string `json:"advancedSettings,omitempty"` AmsGradient *bool `json:"amsGradient,omitempty"` Augmentations *string `json:"augmentations,omitempty"` Beta1 *float64 `json:"beta1,omitempty"` Beta2 *float64 `json:"beta2,omitempty"` BoxDetectionsPerImage *int64 `json:"boxDetectionsPerImage,omitempty"` BoxScoreThreshold *float64 `json:"boxScoreThreshold,omitempty"` CheckpointFrequency *int64 `json:"checkpointFrequency,omitempty"` CheckpointModel *MLFlowModelJobInput `json:"checkpointModel,omitempty"` CheckpointRunId *string `json:"checkpointRunId,omitempty"` Distributed *bool `json:"distributed,omitempty"` EarlyStopping *bool `json:"earlyStopping,omitempty"` EarlyStoppingDelay *int64 `json:"earlyStoppingDelay,omitempty"` EarlyStoppingPatience *int64 `json:"earlyStoppingPatience,omitempty"` EnableOnnxNormalization *bool `json:"enableOnnxNormalization,omitempty"` EvaluationFrequency *int64 `json:"evaluationFrequency,omitempty"` GradientAccumulationStep *int64 `json:"gradientAccumulationStep,omitempty"` ImageSize *int64 `json:"imageSize,omitempty"` LayersToFreeze *int64 `json:"layersToFreeze,omitempty"` LearningRate *float64 `json:"learningRate,omitempty"` LearningRateScheduler *LearningRateScheduler `json:"learningRateScheduler,omitempty"` MaxSize *int64 `json:"maxSize,omitempty"` MinSize *int64 `json:"minSize,omitempty"` ModelName *string `json:"modelName,omitempty"` ModelSize *ModelSize `json:"modelSize,omitempty"` Momentum *float64 `json:"momentum,omitempty"` MultiScale *bool `json:"multiScale,omitempty"` Nesterov *bool `json:"nesterov,omitempty"` NmsIouThreshold *float64 `json:"nmsIouThreshold,omitempty"` NumberOfEpochs *int64 `json:"numberOfEpochs,omitempty"` NumberOfWorkers *int64 `json:"numberOfWorkers,omitempty"` Optimizer *StochasticOptimizer `json:"optimizer,omitempty"` RandomSeed *int64 `json:"randomSeed,omitempty"` StepLRGamma *float64 `json:"stepLRGamma,omitempty"` StepLRStepSize *int64 `json:"stepLRStepSize,omitempty"` TileGridSize *string `json:"tileGridSize,omitempty"` TileOverlapRatio *float64 `json:"tileOverlapRatio,omitempty"` TilePredictionsNmsThreshold *float64 `json:"tilePredictionsNmsThreshold,omitempty"` TrainingBatchSize *int64 `json:"trainingBatchSize,omitempty"` ValidationBatchSize *int64 `json:"validationBatchSize,omitempty"` ValidationIouThreshold *float64 `json:"validationIouThreshold,omitempty"` ValidationMetricType *ValidationMetricType `json:"validationMetricType,omitempty"` WarmupCosineLRCycles *float64 `json:"warmupCosineLRCycles,omitempty"` WarmupCosineLRWarmupEpochs *int64 `json:"warmupCosineLRWarmupEpochs,omitempty"` WeightDecay *float64 `json:"weightDecay,omitempty"` }
type ImageObjectDetection ¶
type ImageObjectDetection struct { LimitSettings *ImageLimitSettings `json:"limitSettings,omitempty"` ModelSettings *ImageModelSettingsObjectDetection `json:"modelSettings,omitempty"` PrimaryMetric *ObjectDetectionPrimaryMetrics `json:"primaryMetric,omitempty"` SearchSpace *[]ImageModelDistributionSettingsObjectDetection `json:"searchSpace,omitempty"` SweepSettings *ImageSweepSettings `json:"sweepSettings,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` ValidationDataSize *float64 `json:"validationDataSize,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (ImageObjectDetection) MarshalJSON ¶
func (s ImageObjectDetection) MarshalJSON() ([]byte, error)
type ImageSweepSettings ¶
type ImageSweepSettings struct { EarlyTermination EarlyTerminationPolicy `json:"earlyTermination"` SamplingAlgorithm SamplingAlgorithmType `json:"samplingAlgorithm"` }
func (*ImageSweepSettings) UnmarshalJSON ¶
func (s *ImageSweepSettings) UnmarshalJSON(bytes []byte) error
type InputDeliveryMode ¶
type InputDeliveryMode string
const ( InputDeliveryModeDirect InputDeliveryMode = "Direct" InputDeliveryModeDownload InputDeliveryMode = "Download" InputDeliveryModeEvalDownload InputDeliveryMode = "EvalDownload" InputDeliveryModeEvalMount InputDeliveryMode = "EvalMount" InputDeliveryModeReadOnlyMount InputDeliveryMode = "ReadOnlyMount" InputDeliveryModeReadWriteMount InputDeliveryMode = "ReadWriteMount" )
func (*InputDeliveryMode) UnmarshalJSON ¶
func (s *InputDeliveryMode) UnmarshalJSON(bytes []byte) error
type InstanceSegmentationPrimaryMetrics ¶
type InstanceSegmentationPrimaryMetrics string
const (
InstanceSegmentationPrimaryMetricsMeanAveragePrecision InstanceSegmentationPrimaryMetrics = "MeanAveragePrecision"
)
func (*InstanceSegmentationPrimaryMetrics) UnmarshalJSON ¶
func (s *InstanceSegmentationPrimaryMetrics) UnmarshalJSON(bytes []byte) error
type JobBaseResource ¶
type JobBaseResource struct { Id *string `json:"id,omitempty"` Name *string `json:"name,omitempty"` Properties JobBase `json:"properties"` SystemData *systemdata.SystemData `json:"systemData,omitempty"` Type *string `json:"type,omitempty"` }
func (*JobBaseResource) UnmarshalJSON ¶
func (s *JobBaseResource) UnmarshalJSON(bytes []byte) error
type JobBaseResourceOperationPredicate ¶
func (JobBaseResourceOperationPredicate) Matches ¶
func (p JobBaseResourceOperationPredicate) Matches(input JobBaseResource) bool
type JobClient ¶
type JobClient struct {
Client *resourcemanager.Client
}
func (JobClient) Cancel ¶
func (c JobClient) Cancel(ctx context.Context, id JobId) (result CancelOperationResponse, err error)
Cancel ...
func (JobClient) CancelThenPoll ¶
CancelThenPoll performs Cancel then polls until it's completed
func (JobClient) CreateOrUpdate ¶
func (c JobClient) CreateOrUpdate(ctx context.Context, id JobId, input JobBaseResource) (result CreateOrUpdateOperationResponse, err error)
CreateOrUpdate ...
func (JobClient) Delete ¶
func (c JobClient) Delete(ctx context.Context, id JobId) (result DeleteOperationResponse, err error)
Delete ...
func (JobClient) DeleteThenPoll ¶
DeleteThenPoll performs Delete then polls until it's completed
func (JobClient) List ¶
func (c JobClient) List(ctx context.Context, id WorkspaceId, options ListOperationOptions) (result ListOperationResponse, err error)
List ...
func (JobClient) ListComplete ¶
func (c JobClient) ListComplete(ctx context.Context, id WorkspaceId, options ListOperationOptions) (ListCompleteResult, error)
ListComplete retrieves all the results into a single object
func (JobClient) ListCompleteMatchingPredicate ¶
func (c JobClient) ListCompleteMatchingPredicate(ctx context.Context, id WorkspaceId, options ListOperationOptions, predicate JobBaseResourceOperationPredicate) (result ListCompleteResult, err error)
ListCompleteMatchingPredicate retrieves all the results and then applies the predicate
type JobId ¶
type JobId struct { SubscriptionId string ResourceGroupName string WorkspaceName string JobName string }
JobId is a struct representing the Resource ID for a Job
func NewJobID ¶
func NewJobID(subscriptionId string, resourceGroupName string, workspaceName string, jobName string) JobId
NewJobID returns a new JobId struct
func ParseJobID ¶
ParseJobID parses 'input' into a JobId
func ParseJobIDInsensitively ¶
ParseJobIDInsensitively parses 'input' case-insensitively into a JobId note: this method should only be used for API response data and not user input
func (*JobId) FromParseResult ¶ added in v0.20231127.1171502
func (id *JobId) FromParseResult(input resourceids.ParseResult) error
func (JobId) Segments ¶
func (id JobId) Segments() []resourceids.Segment
Segments returns a slice of Resource ID Segments which comprise this Job ID
type JobInputType ¶
type JobInputType string
const ( JobInputTypeCustomModel JobInputType = "custom_model" JobInputTypeLiteral JobInputType = "literal" JobInputTypeMlflowModel JobInputType = "mlflow_model" JobInputTypeMltable JobInputType = "mltable" JobInputTypeTritonModel JobInputType = "triton_model" JobInputTypeUriFile JobInputType = "uri_file" JobInputTypeUriFolder JobInputType = "uri_folder" )
func (*JobInputType) UnmarshalJSON ¶
func (s *JobInputType) UnmarshalJSON(bytes []byte) error
type JobLimitsType ¶
type JobLimitsType string
const ( JobLimitsTypeCommand JobLimitsType = "Command" JobLimitsTypeSweep JobLimitsType = "Sweep" )
func (*JobLimitsType) UnmarshalJSON ¶
func (s *JobLimitsType) UnmarshalJSON(bytes []byte) error
type JobOutputType ¶
type JobOutputType string
const ( JobOutputTypeCustomModel JobOutputType = "custom_model" JobOutputTypeMlflowModel JobOutputType = "mlflow_model" JobOutputTypeMltable JobOutputType = "mltable" JobOutputTypeTritonModel JobOutputType = "triton_model" JobOutputTypeUriFile JobOutputType = "uri_file" JobOutputTypeUriFolder JobOutputType = "uri_folder" )
func (*JobOutputType) UnmarshalJSON ¶
func (s *JobOutputType) UnmarshalJSON(bytes []byte) error
type JobResourceConfiguration ¶
type JobResourceConfiguration struct { DockerArgs *string `json:"dockerArgs,omitempty"` InstanceCount *int64 `json:"instanceCount,omitempty"` InstanceType *string `json:"instanceType,omitempty"` Properties *map[string]interface{} `json:"properties,omitempty"` ShmSize *string `json:"shmSize,omitempty"` }
type JobService ¶
type JobService struct { Endpoint *string `json:"endpoint,omitempty"` ErrorMessage *string `json:"errorMessage,omitempty"` JobServiceType *string `json:"jobServiceType,omitempty"` Nodes Nodes `json:"nodes"` Port *int64 `json:"port,omitempty"` Properties *map[string]string `json:"properties,omitempty"` Status *string `json:"status,omitempty"` }
func (*JobService) UnmarshalJSON ¶
func (s *JobService) UnmarshalJSON(bytes []byte) error
type JobStatus ¶
type JobStatus string
const ( JobStatusCancelRequested JobStatus = "CancelRequested" JobStatusCanceled JobStatus = "Canceled" JobStatusCompleted JobStatus = "Completed" JobStatusFailed JobStatus = "Failed" JobStatusFinalizing JobStatus = "Finalizing" JobStatusNotResponding JobStatus = "NotResponding" JobStatusNotStarted JobStatus = "NotStarted" JobStatusPaused JobStatus = "Paused" JobStatusPreparing JobStatus = "Preparing" JobStatusProvisioning JobStatus = "Provisioning" JobStatusQueued JobStatus = "Queued" JobStatusRunning JobStatus = "Running" JobStatusStarting JobStatus = "Starting" JobStatusUnknown JobStatus = "Unknown" )
func (*JobStatus) UnmarshalJSON ¶
type LearningRateScheduler ¶
type LearningRateScheduler string
const ( LearningRateSchedulerNone LearningRateScheduler = "None" LearningRateSchedulerStep LearningRateScheduler = "Step" LearningRateSchedulerWarmupCosine LearningRateScheduler = "WarmupCosine" )
func (*LearningRateScheduler) UnmarshalJSON ¶
func (s *LearningRateScheduler) UnmarshalJSON(bytes []byte) error
type ListCompleteResult ¶
type ListCompleteResult struct {
Items []JobBaseResource
}
type ListOperationOptions ¶
type ListOperationOptions struct { JobType *string ListViewType *ListViewType Properties *string Skip *string Tag *string }
func DefaultListOperationOptions ¶
func DefaultListOperationOptions() ListOperationOptions
func (ListOperationOptions) ToHeaders ¶
func (o ListOperationOptions) ToHeaders() *client.Headers
func (ListOperationOptions) ToOData ¶
func (o ListOperationOptions) ToOData() *odata.Query
func (ListOperationOptions) ToQuery ¶
func (o ListOperationOptions) ToQuery() *client.QueryParams
type ListOperationResponse ¶
type ListOperationResponse struct { HttpResponse *http.Response OData *odata.OData Model *[]JobBaseResource }
type ListViewType ¶
type ListViewType string
const ( ListViewTypeActiveOnly ListViewType = "ActiveOnly" ListViewTypeAll ListViewType = "All" ListViewTypeArchivedOnly ListViewType = "ArchivedOnly" )
func (*ListViewType) UnmarshalJSON ¶
func (s *ListViewType) UnmarshalJSON(bytes []byte) error
type LiteralJobInput ¶
type LiteralJobInput struct { Value string `json:"value"` // Fields inherited from JobInput Description *string `json:"description,omitempty"` }
func (LiteralJobInput) MarshalJSON ¶
func (s LiteralJobInput) MarshalJSON() ([]byte, error)
type LogVerbosity ¶
type LogVerbosity string
const ( LogVerbosityCritical LogVerbosity = "Critical" LogVerbosityDebug LogVerbosity = "Debug" LogVerbosityError LogVerbosity = "Error" LogVerbosityInfo LogVerbosity = "Info" LogVerbosityNotSet LogVerbosity = "NotSet" LogVerbosityWarning LogVerbosity = "Warning" )
func (*LogVerbosity) UnmarshalJSON ¶
func (s *LogVerbosity) UnmarshalJSON(bytes []byte) error
type MLFlowModelJobInput ¶
type MLFlowModelJobInput struct { Mode *InputDeliveryMode `json:"mode,omitempty"` Uri string `json:"uri"` // Fields inherited from JobInput Description *string `json:"description,omitempty"` }
func (MLFlowModelJobInput) MarshalJSON ¶
func (s MLFlowModelJobInput) MarshalJSON() ([]byte, error)
type MLFlowModelJobOutput ¶
type MLFlowModelJobOutput struct { Mode *OutputDeliveryMode `json:"mode,omitempty"` Uri *string `json:"uri,omitempty"` // Fields inherited from JobOutput Description *string `json:"description,omitempty"` }
func (MLFlowModelJobOutput) MarshalJSON ¶
func (s MLFlowModelJobOutput) MarshalJSON() ([]byte, error)
type MLTableJobInput ¶
type MLTableJobInput struct { Mode *InputDeliveryMode `json:"mode,omitempty"` Uri string `json:"uri"` // Fields inherited from JobInput Description *string `json:"description,omitempty"` }
func (MLTableJobInput) MarshalJSON ¶
func (s MLTableJobInput) MarshalJSON() ([]byte, error)
type MLTableJobOutput ¶
type MLTableJobOutput struct { Mode *OutputDeliveryMode `json:"mode,omitempty"` Uri *string `json:"uri,omitempty"` // Fields inherited from JobOutput Description *string `json:"description,omitempty"` }
func (MLTableJobOutput) MarshalJSON ¶
func (s MLTableJobOutput) MarshalJSON() ([]byte, error)
type ManagedIdentity ¶
type ManagedIdentity struct { ClientId *string `json:"clientId,omitempty"` ObjectId *string `json:"objectId,omitempty"` ResourceId *string `json:"resourceId,omitempty"` }
func (ManagedIdentity) MarshalJSON ¶
func (s ManagedIdentity) MarshalJSON() ([]byte, error)
type MedianStoppingPolicy ¶
type MedianStoppingPolicy struct { // Fields inherited from EarlyTerminationPolicy DelayEvaluation *int64 `json:"delayEvaluation,omitempty"` EvaluationInterval *int64 `json:"evaluationInterval,omitempty"` }
func (MedianStoppingPolicy) MarshalJSON ¶
func (s MedianStoppingPolicy) MarshalJSON() ([]byte, error)
type Mpi ¶
type Mpi struct {
ProcessCountPerInstance *int64 `json:"processCountPerInstance,omitempty"`
}
func (Mpi) MarshalJSON ¶
type NCrossValidations ¶
type NCrossValidations interface { }
type NCrossValidationsMode ¶
type NCrossValidationsMode string
const ( NCrossValidationsModeAuto NCrossValidationsMode = "Auto" NCrossValidationsModeCustom NCrossValidationsMode = "Custom" )
func (*NCrossValidationsMode) UnmarshalJSON ¶
func (s *NCrossValidationsMode) UnmarshalJSON(bytes []byte) error
type NodesValueType ¶
type NodesValueType string
const (
NodesValueTypeAll NodesValueType = "All"
)
func (*NodesValueType) UnmarshalJSON ¶
func (s *NodesValueType) UnmarshalJSON(bytes []byte) error
type ObjectDetectionPrimaryMetrics ¶
type ObjectDetectionPrimaryMetrics string
const (
ObjectDetectionPrimaryMetricsMeanAveragePrecision ObjectDetectionPrimaryMetrics = "MeanAveragePrecision"
)
func (*ObjectDetectionPrimaryMetrics) UnmarshalJSON ¶
func (s *ObjectDetectionPrimaryMetrics) UnmarshalJSON(bytes []byte) error
type OutputDeliveryMode ¶
type OutputDeliveryMode string
const ( OutputDeliveryModeReadWriteMount OutputDeliveryMode = "ReadWriteMount" OutputDeliveryModeUpload OutputDeliveryMode = "Upload" )
func (*OutputDeliveryMode) UnmarshalJSON ¶
func (s *OutputDeliveryMode) UnmarshalJSON(bytes []byte) error
type PipelineJob ¶
type PipelineJob struct { Inputs *map[string]JobInput `json:"inputs,omitempty"` Jobs *map[string]interface{} `json:"jobs,omitempty"` Outputs *map[string]JobOutput `json:"outputs,omitempty"` Settings *interface{} `json:"settings,omitempty"` SourceJobId *string `json:"sourceJobId,omitempty"` // Fields inherited from JobBase ComponentId *string `json:"componentId,omitempty"` ComputeId *string `json:"computeId,omitempty"` Description *string `json:"description,omitempty"` DisplayName *string `json:"displayName,omitempty"` ExperimentName *string `json:"experimentName,omitempty"` Identity IdentityConfiguration `json:"identity"` IsArchived *bool `json:"isArchived,omitempty"` Properties *map[string]string `json:"properties,omitempty"` Services *map[string]JobService `json:"services,omitempty"` Status *JobStatus `json:"status,omitempty"` Tags *map[string]string `json:"tags,omitempty"` }
func (PipelineJob) MarshalJSON ¶
func (s PipelineJob) MarshalJSON() ([]byte, error)
func (*PipelineJob) UnmarshalJSON ¶
func (s *PipelineJob) UnmarshalJSON(bytes []byte) error
type PyTorch ¶
type PyTorch struct {
ProcessCountPerInstance *int64 `json:"processCountPerInstance,omitempty"`
}
func (PyTorch) MarshalJSON ¶
type QueueSettings ¶
type QueueSettings struct {
JobTier *JobTier `json:"jobTier,omitempty"`
}
type RandomSamplingAlgorithm ¶
type RandomSamplingAlgorithm struct { Rule *RandomSamplingAlgorithmRule `json:"rule,omitempty"` Seed *int64 `json:"seed,omitempty"` }
func (RandomSamplingAlgorithm) MarshalJSON ¶
func (s RandomSamplingAlgorithm) MarshalJSON() ([]byte, error)
type RandomSamplingAlgorithmRule ¶
type RandomSamplingAlgorithmRule string
const ( RandomSamplingAlgorithmRuleRandom RandomSamplingAlgorithmRule = "Random" RandomSamplingAlgorithmRuleSobol RandomSamplingAlgorithmRule = "Sobol" )
func (*RandomSamplingAlgorithmRule) UnmarshalJSON ¶
func (s *RandomSamplingAlgorithmRule) UnmarshalJSON(bytes []byte) error
type RawAutoMLVerticalImpl ¶
RawAutoMLVerticalImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawDistributionConfigurationImpl ¶
RawDistributionConfigurationImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawEarlyTerminationPolicyImpl ¶
RawEarlyTerminationPolicyImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawForecastHorizonImpl ¶
RawForecastHorizonImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawIdentityConfigurationImpl ¶
RawIdentityConfigurationImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawJobBaseImpl ¶
RawJobBaseImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawJobInputImpl ¶
RawJobInputImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawJobLimitsImpl ¶
RawJobLimitsImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawJobOutputImpl ¶
RawJobOutputImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawNCrossValidationsImpl ¶
RawNCrossValidationsImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawNodesImpl ¶
RawNodesImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawSamplingAlgorithmImpl ¶
RawSamplingAlgorithmImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawSeasonalityImpl ¶
RawSeasonalityImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawTargetLagsImpl ¶
RawTargetLagsImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawTargetRollingWindowSizeImpl ¶
RawTargetRollingWindowSizeImpl is returned when the Discriminated Value doesn't match any of the defined types NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround) and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type Regression ¶
type Regression struct { CvSplitColumnNames *[]string `json:"cvSplitColumnNames,omitempty"` FeaturizationSettings *TableVerticalFeaturizationSettings `json:"featurizationSettings,omitempty"` LimitSettings *TableVerticalLimitSettings `json:"limitSettings,omitempty"` NCrossValidations NCrossValidations `json:"nCrossValidations"` PrimaryMetric *RegressionPrimaryMetrics `json:"primaryMetric,omitempty"` TestData *MLTableJobInput `json:"testData,omitempty"` TestDataSize *float64 `json:"testDataSize,omitempty"` TrainingSettings *RegressionTrainingSettings `json:"trainingSettings,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` ValidationDataSize *float64 `json:"validationDataSize,omitempty"` WeightColumnName *string `json:"weightColumnName,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (Regression) MarshalJSON ¶
func (s Regression) MarshalJSON() ([]byte, error)
func (*Regression) UnmarshalJSON ¶
func (s *Regression) UnmarshalJSON(bytes []byte) error
type RegressionModels ¶
type RegressionModels string
const ( RegressionModelsDecisionTree RegressionModels = "DecisionTree" RegressionModelsElasticNet RegressionModels = "ElasticNet" RegressionModelsExtremeRandomTrees RegressionModels = "ExtremeRandomTrees" RegressionModelsGradientBoosting RegressionModels = "GradientBoosting" RegressionModelsKNN RegressionModels = "KNN" RegressionModelsLassoLars RegressionModels = "LassoLars" RegressionModelsLightGBM RegressionModels = "LightGBM" RegressionModelsRandomForest RegressionModels = "RandomForest" RegressionModelsSGD RegressionModels = "SGD" RegressionModelsXGBoostRegressor RegressionModels = "XGBoostRegressor" )
func (*RegressionModels) UnmarshalJSON ¶
func (s *RegressionModels) UnmarshalJSON(bytes []byte) error
type RegressionPrimaryMetrics ¶
type RegressionPrimaryMetrics string
const ( RegressionPrimaryMetricsNormalizedMeanAbsoluteError RegressionPrimaryMetrics = "NormalizedMeanAbsoluteError" RegressionPrimaryMetricsNormalizedRootMeanSquaredError RegressionPrimaryMetrics = "NormalizedRootMeanSquaredError" RegressionPrimaryMetricsRTwoScore RegressionPrimaryMetrics = "R2Score" RegressionPrimaryMetricsSpearmanCorrelation RegressionPrimaryMetrics = "SpearmanCorrelation" )
func (*RegressionPrimaryMetrics) UnmarshalJSON ¶
func (s *RegressionPrimaryMetrics) UnmarshalJSON(bytes []byte) error
type RegressionTrainingSettings ¶
type RegressionTrainingSettings struct { AllowedTrainingAlgorithms *[]RegressionModels `json:"allowedTrainingAlgorithms,omitempty"` BlockedTrainingAlgorithms *[]RegressionModels `json:"blockedTrainingAlgorithms,omitempty"` EnableDnnTraining *bool `json:"enableDnnTraining,omitempty"` EnableModelExplainability *bool `json:"enableModelExplainability,omitempty"` EnableOnnxCompatibleModels *bool `json:"enableOnnxCompatibleModels,omitempty"` EnableStackEnsemble *bool `json:"enableStackEnsemble,omitempty"` EnableVoteEnsemble *bool `json:"enableVoteEnsemble,omitempty"` EnsembleModelDownloadTimeout *string `json:"ensembleModelDownloadTimeout,omitempty"` StackEnsembleSettings *StackEnsembleSettings `json:"stackEnsembleSettings,omitempty"` }
type SamplingAlgorithm ¶
type SamplingAlgorithm interface { }
type SamplingAlgorithmType ¶
type SamplingAlgorithmType string
const ( SamplingAlgorithmTypeBayesian SamplingAlgorithmType = "Bayesian" SamplingAlgorithmTypeGrid SamplingAlgorithmType = "Grid" SamplingAlgorithmTypeRandom SamplingAlgorithmType = "Random" )
func (*SamplingAlgorithmType) UnmarshalJSON ¶
func (s *SamplingAlgorithmType) UnmarshalJSON(bytes []byte) error
type Seasonality ¶
type Seasonality interface { }
type SeasonalityMode ¶
type SeasonalityMode string
const ( SeasonalityModeAuto SeasonalityMode = "Auto" SeasonalityModeCustom SeasonalityMode = "Custom" )
func (*SeasonalityMode) UnmarshalJSON ¶
func (s *SeasonalityMode) UnmarshalJSON(bytes []byte) error
type ShortSeriesHandlingConfiguration ¶
type ShortSeriesHandlingConfiguration string
const ( ShortSeriesHandlingConfigurationAuto ShortSeriesHandlingConfiguration = "Auto" ShortSeriesHandlingConfigurationDrop ShortSeriesHandlingConfiguration = "Drop" ShortSeriesHandlingConfigurationNone ShortSeriesHandlingConfiguration = "None" ShortSeriesHandlingConfigurationPad ShortSeriesHandlingConfiguration = "Pad" )
func (*ShortSeriesHandlingConfiguration) UnmarshalJSON ¶
func (s *ShortSeriesHandlingConfiguration) UnmarshalJSON(bytes []byte) error
type StackEnsembleSettings ¶
type StackEnsembleSettings struct { StackMetaLearnerKWargs *interface{} `json:"stackMetaLearnerKWargs,omitempty"` StackMetaLearnerTrainPercentage *float64 `json:"stackMetaLearnerTrainPercentage,omitempty"` StackMetaLearnerType *StackMetaLearnerType `json:"stackMetaLearnerType,omitempty"` }
type StackMetaLearnerType ¶
type StackMetaLearnerType string
const ( StackMetaLearnerTypeElasticNet StackMetaLearnerType = "ElasticNet" StackMetaLearnerTypeElasticNetCV StackMetaLearnerType = "ElasticNetCV" StackMetaLearnerTypeLightGBMClassifier StackMetaLearnerType = "LightGBMClassifier" StackMetaLearnerTypeLightGBMRegressor StackMetaLearnerType = "LightGBMRegressor" StackMetaLearnerTypeLinearRegression StackMetaLearnerType = "LinearRegression" StackMetaLearnerTypeLogisticRegression StackMetaLearnerType = "LogisticRegression" StackMetaLearnerTypeLogisticRegressionCV StackMetaLearnerType = "LogisticRegressionCV" StackMetaLearnerTypeNone StackMetaLearnerType = "None" )
func (*StackMetaLearnerType) UnmarshalJSON ¶
func (s *StackMetaLearnerType) UnmarshalJSON(bytes []byte) error
type StochasticOptimizer ¶
type StochasticOptimizer string
const ( StochasticOptimizerAdam StochasticOptimizer = "Adam" StochasticOptimizerAdamw StochasticOptimizer = "Adamw" StochasticOptimizerNone StochasticOptimizer = "None" StochasticOptimizerSgd StochasticOptimizer = "Sgd" )
func (*StochasticOptimizer) UnmarshalJSON ¶
func (s *StochasticOptimizer) UnmarshalJSON(bytes []byte) error
type SweepJob ¶
type SweepJob struct { EarlyTermination EarlyTerminationPolicy `json:"earlyTermination"` Inputs *map[string]JobInput `json:"inputs,omitempty"` Limits *SweepJobLimits `json:"limits,omitempty"` Objective Objective `json:"objective"` Outputs *map[string]JobOutput `json:"outputs,omitempty"` QueueSettings *QueueSettings `json:"queueSettings,omitempty"` SamplingAlgorithm SamplingAlgorithm `json:"samplingAlgorithm"` SearchSpace interface{} `json:"searchSpace"` Trial TrialComponent `json:"trial"` // Fields inherited from JobBase ComponentId *string `json:"componentId,omitempty"` ComputeId *string `json:"computeId,omitempty"` Description *string `json:"description,omitempty"` DisplayName *string `json:"displayName,omitempty"` ExperimentName *string `json:"experimentName,omitempty"` Identity IdentityConfiguration `json:"identity"` IsArchived *bool `json:"isArchived,omitempty"` Properties *map[string]string `json:"properties,omitempty"` Services *map[string]JobService `json:"services,omitempty"` Status *JobStatus `json:"status,omitempty"` Tags *map[string]string `json:"tags,omitempty"` }
func (SweepJob) MarshalJSON ¶
func (*SweepJob) UnmarshalJSON ¶
type SweepJobLimits ¶
type SweepJobLimits struct { MaxConcurrentTrials *int64 `json:"maxConcurrentTrials,omitempty"` MaxTotalTrials *int64 `json:"maxTotalTrials,omitempty"` TrialTimeout *string `json:"trialTimeout,omitempty"` // Fields inherited from JobLimits Timeout *string `json:"timeout,omitempty"` }
func (SweepJobLimits) MarshalJSON ¶
func (s SweepJobLimits) MarshalJSON() ([]byte, error)
type TableVerticalFeaturizationSettings ¶
type TableVerticalFeaturizationSettings struct { BlockedTransformers *[]BlockedTransformers `json:"blockedTransformers,omitempty"` ColumnNameAndTypes *map[string]string `json:"columnNameAndTypes,omitempty"` DatasetLanguage *string `json:"datasetLanguage,omitempty"` EnableDnnFeaturization *bool `json:"enableDnnFeaturization,omitempty"` Mode *FeaturizationMode `json:"mode,omitempty"` TransformerParams *map[string][]ColumnTransformer `json:"transformerParams,omitempty"` }
type TableVerticalLimitSettings ¶
type TableVerticalLimitSettings struct { EnableEarlyTermination *bool `json:"enableEarlyTermination,omitempty"` ExitScore *float64 `json:"exitScore,omitempty"` MaxConcurrentTrials *int64 `json:"maxConcurrentTrials,omitempty"` MaxCoresPerTrial *int64 `json:"maxCoresPerTrial,omitempty"` MaxTrials *int64 `json:"maxTrials,omitempty"` Timeout *string `json:"timeout,omitempty"` TrialTimeout *string `json:"trialTimeout,omitempty"` }
type TargetAggregationFunction ¶
type TargetAggregationFunction string
const ( TargetAggregationFunctionMax TargetAggregationFunction = "Max" TargetAggregationFunctionMean TargetAggregationFunction = "Mean" TargetAggregationFunctionMin TargetAggregationFunction = "Min" TargetAggregationFunctionNone TargetAggregationFunction = "None" TargetAggregationFunctionSum TargetAggregationFunction = "Sum" )
func (*TargetAggregationFunction) UnmarshalJSON ¶
func (s *TargetAggregationFunction) UnmarshalJSON(bytes []byte) error
type TargetLags ¶
type TargetLags interface { }
type TargetLagsMode ¶
type TargetLagsMode string
const ( TargetLagsModeAuto TargetLagsMode = "Auto" TargetLagsModeCustom TargetLagsMode = "Custom" )
func (*TargetLagsMode) UnmarshalJSON ¶
func (s *TargetLagsMode) UnmarshalJSON(bytes []byte) error
type TargetRollingWindowSize ¶
type TargetRollingWindowSize interface { }
type TargetRollingWindowSizeMode ¶
type TargetRollingWindowSizeMode string
const ( TargetRollingWindowSizeModeAuto TargetRollingWindowSizeMode = "Auto" TargetRollingWindowSizeModeCustom TargetRollingWindowSizeMode = "Custom" )
func (*TargetRollingWindowSizeMode) UnmarshalJSON ¶
func (s *TargetRollingWindowSizeMode) UnmarshalJSON(bytes []byte) error
type TaskType ¶
type TaskType string
const ( TaskTypeClassification TaskType = "Classification" TaskTypeForecasting TaskType = "Forecasting" TaskTypeImageClassification TaskType = "ImageClassification" TaskTypeImageClassificationMultilabel TaskType = "ImageClassificationMultilabel" TaskTypeImageInstanceSegmentation TaskType = "ImageInstanceSegmentation" TaskTypeImageObjectDetection TaskType = "ImageObjectDetection" TaskTypeRegression TaskType = "Regression" TaskTypeTextClassification TaskType = "TextClassification" TaskTypeTextClassificationMultilabel TaskType = "TextClassificationMultilabel" TaskTypeTextNER TaskType = "TextNER" )
func (*TaskType) UnmarshalJSON ¶
type TensorFlow ¶
type TensorFlow struct { ParameterServerCount *int64 `json:"parameterServerCount,omitempty"` WorkerCount *int64 `json:"workerCount,omitempty"` }
func (TensorFlow) MarshalJSON ¶
func (s TensorFlow) MarshalJSON() ([]byte, error)
type TextClassification ¶
type TextClassification struct { FeaturizationSettings *FeaturizationSettings `json:"featurizationSettings,omitempty"` LimitSettings *NlpVerticalLimitSettings `json:"limitSettings,omitempty"` PrimaryMetric *ClassificationPrimaryMetrics `json:"primaryMetric,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (TextClassification) MarshalJSON ¶
func (s TextClassification) MarshalJSON() ([]byte, error)
type TextClassificationMultilabel ¶
type TextClassificationMultilabel struct { FeaturizationSettings *FeaturizationSettings `json:"featurizationSettings,omitempty"` LimitSettings *NlpVerticalLimitSettings `json:"limitSettings,omitempty"` PrimaryMetric *ClassificationMultilabelPrimaryMetrics `json:"primaryMetric,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (TextClassificationMultilabel) MarshalJSON ¶
func (s TextClassificationMultilabel) MarshalJSON() ([]byte, error)
type TextNer ¶
type TextNer struct { FeaturizationSettings *FeaturizationSettings `json:"featurizationSettings,omitempty"` LimitSettings *NlpVerticalLimitSettings `json:"limitSettings,omitempty"` PrimaryMetric *ClassificationPrimaryMetrics `json:"primaryMetric,omitempty"` ValidationData *MLTableJobInput `json:"validationData,omitempty"` // Fields inherited from AutoMLVertical LogVerbosity *LogVerbosity `json:"logVerbosity,omitempty"` TargetColumnName *string `json:"targetColumnName,omitempty"` TrainingData MLTableJobInput `json:"trainingData"` }
func (TextNer) MarshalJSON ¶
type TrialComponent ¶
type TrialComponent struct { CodeId *string `json:"codeId,omitempty"` Command string `json:"command"` Distribution DistributionConfiguration `json:"distribution"` EnvironmentId string `json:"environmentId"` EnvironmentVariables *map[string]string `json:"environmentVariables,omitempty"` Resources *JobResourceConfiguration `json:"resources,omitempty"` }
func (*TrialComponent) UnmarshalJSON ¶
func (s *TrialComponent) UnmarshalJSON(bytes []byte) error
type TritonModelJobInput ¶
type TritonModelJobInput struct { Mode *InputDeliveryMode `json:"mode,omitempty"` Uri string `json:"uri"` // Fields inherited from JobInput Description *string `json:"description,omitempty"` }
func (TritonModelJobInput) MarshalJSON ¶
func (s TritonModelJobInput) MarshalJSON() ([]byte, error)
type TritonModelJobOutput ¶
type TritonModelJobOutput struct { Mode *OutputDeliveryMode `json:"mode,omitempty"` Uri *string `json:"uri,omitempty"` // Fields inherited from JobOutput Description *string `json:"description,omitempty"` }
func (TritonModelJobOutput) MarshalJSON ¶
func (s TritonModelJobOutput) MarshalJSON() ([]byte, error)
type TruncationSelectionPolicy ¶
type TruncationSelectionPolicy struct { TruncationPercentage *int64 `json:"truncationPercentage,omitempty"` // Fields inherited from EarlyTerminationPolicy DelayEvaluation *int64 `json:"delayEvaluation,omitempty"` EvaluationInterval *int64 `json:"evaluationInterval,omitempty"` }
func (TruncationSelectionPolicy) MarshalJSON ¶
func (s TruncationSelectionPolicy) MarshalJSON() ([]byte, error)
type UriFileJobInput ¶
type UriFileJobInput struct { Mode *InputDeliveryMode `json:"mode,omitempty"` Uri string `json:"uri"` // Fields inherited from JobInput Description *string `json:"description,omitempty"` }
func (UriFileJobInput) MarshalJSON ¶
func (s UriFileJobInput) MarshalJSON() ([]byte, error)
type UriFileJobOutput ¶
type UriFileJobOutput struct { Mode *OutputDeliveryMode `json:"mode,omitempty"` Uri *string `json:"uri,omitempty"` // Fields inherited from JobOutput Description *string `json:"description,omitempty"` }
func (UriFileJobOutput) MarshalJSON ¶
func (s UriFileJobOutput) MarshalJSON() ([]byte, error)
type UriFolderJobInput ¶
type UriFolderJobInput struct { Mode *InputDeliveryMode `json:"mode,omitempty"` Uri string `json:"uri"` // Fields inherited from JobInput Description *string `json:"description,omitempty"` }
func (UriFolderJobInput) MarshalJSON ¶
func (s UriFolderJobInput) MarshalJSON() ([]byte, error)
type UriFolderJobOutput ¶
type UriFolderJobOutput struct { Mode *OutputDeliveryMode `json:"mode,omitempty"` Uri *string `json:"uri,omitempty"` // Fields inherited from JobOutput Description *string `json:"description,omitempty"` }
func (UriFolderJobOutput) MarshalJSON ¶
func (s UriFolderJobOutput) MarshalJSON() ([]byte, error)
type UserIdentity ¶
type UserIdentity struct { }
func (UserIdentity) MarshalJSON ¶
func (s UserIdentity) MarshalJSON() ([]byte, error)
type ValidationMetricType ¶
type ValidationMetricType string
const ( ValidationMetricTypeCoco ValidationMetricType = "Coco" ValidationMetricTypeCocoVoc ValidationMetricType = "CocoVoc" ValidationMetricTypeNone ValidationMetricType = "None" ValidationMetricTypeVoc ValidationMetricType = "Voc" )
func (*ValidationMetricType) UnmarshalJSON ¶
func (s *ValidationMetricType) UnmarshalJSON(bytes []byte) error
type WorkspaceId ¶
WorkspaceId is a struct representing the Resource ID for a Workspace
func NewWorkspaceID ¶
func NewWorkspaceID(subscriptionId string, resourceGroupName string, workspaceName string) WorkspaceId
NewWorkspaceID returns a new WorkspaceId struct
func ParseWorkspaceID ¶
func ParseWorkspaceID(input string) (*WorkspaceId, error)
ParseWorkspaceID parses 'input' into a WorkspaceId
func ParseWorkspaceIDInsensitively ¶
func ParseWorkspaceIDInsensitively(input string) (*WorkspaceId, error)
ParseWorkspaceIDInsensitively parses 'input' case-insensitively into a WorkspaceId note: this method should only be used for API response data and not user input
func (*WorkspaceId) FromParseResult ¶ added in v0.20231127.1171502
func (id *WorkspaceId) FromParseResult(input resourceids.ParseResult) error
func (WorkspaceId) Segments ¶
func (id WorkspaceId) Segments() []resourceids.Segment
Segments returns a slice of Resource ID Segments which comprise this Workspace ID
func (WorkspaceId) String ¶
func (id WorkspaceId) String() string
String returns a human-readable description of this Workspace ID
Source Files ¶
- client.go
- constants.go
- id_job.go
- id_workspace.go
- method_cancel.go
- method_createorupdate.go
- method_delete.go
- method_get.go
- method_list.go
- model_allnodes.go
- model_amltoken.go
- model_autoforecasthorizon.go
- model_automljob.go
- model_automlvertical.go
- model_autoncrossvalidations.go
- model_autoseasonality.go
- model_autotargetlags.go
- model_autotargetrollingwindowsize.go
- model_banditpolicy.go
- model_bayesiansamplingalgorithm.go
- model_classification.go
- model_classificationtrainingsettings.go
- model_columntransformer.go
- model_commandjob.go
- model_commandjoblimits.go
- model_customforecasthorizon.go
- model_custommodeljobinput.go
- model_custommodeljoboutput.go
- model_customncrossvalidations.go
- model_customseasonality.go
- model_customtargetlags.go
- model_customtargetrollingwindowsize.go
- model_distributionconfiguration.go
- model_earlyterminationpolicy.go
- model_featurizationsettings.go
- model_forecasthorizon.go
- model_forecasting.go
- model_forecastingsettings.go
- model_forecastingtrainingsettings.go
- model_gridsamplingalgorithm.go
- model_identityconfiguration.go
- model_imageclassification.go
- model_imageclassificationmultilabel.go
- model_imageinstancesegmentation.go
- model_imagelimitsettings.go
- model_imagemodeldistributionsettingsclassification.go
- model_imagemodeldistributionsettingsobjectdetection.go
- model_imagemodelsettingsclassification.go
- model_imagemodelsettingsobjectdetection.go
- model_imageobjectdetection.go
- model_imagesweepsettings.go
- model_jobbase.go
- model_jobbaseresource.go
- model_jobinput.go
- model_joblimits.go
- model_joboutput.go
- model_jobresourceconfiguration.go
- model_jobservice.go
- model_literaljobinput.go
- model_managedidentity.go
- model_medianstoppingpolicy.go
- model_mlflowmodeljobinput.go
- model_mlflowmodeljoboutput.go
- model_mltablejobinput.go
- model_mltablejoboutput.go
- model_mpi.go
- model_ncrossvalidations.go
- model_nlpverticallimitsettings.go
- model_nodes.go
- model_objective.go
- model_pipelinejob.go
- model_pytorch.go
- model_queuesettings.go
- model_randomsamplingalgorithm.go
- model_regression.go
- model_regressiontrainingsettings.go
- model_samplingalgorithm.go
- model_seasonality.go
- model_stackensemblesettings.go
- model_sweepjob.go
- model_sweepjoblimits.go
- model_tableverticalfeaturizationsettings.go
- model_tableverticallimitsettings.go
- model_targetlags.go
- model_targetrollingwindowsize.go
- model_tensorflow.go
- model_textclassification.go
- model_textclassificationmultilabel.go
- model_textner.go
- model_trialcomponent.go
- model_tritonmodeljobinput.go
- model_tritonmodeljoboutput.go
- model_truncationselectionpolicy.go
- model_urifilejobinput.go
- model_urifilejoboutput.go
- model_urifolderjobinput.go
- model_urifolderjoboutput.go
- model_useridentity.go
- predicates.go
- version.go