job

package
v0.20230615.1121338 Latest Latest
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 Go to latest Published: Jun 15, 2023 License: MPL-2.0 Imports: 11 Imported by: 0

README

github.com/hashicorp/go-azure-sdk/resource-manager/machinelearningservices/2022-10-01/job Documentation

The job SDK allows for interaction with the Azure Resource Manager Service machinelearningservices (API Version 2022-10-01).

This readme covers example usages, but further information on using this SDK can be found in the project root.

Import Path

import "github.com/hashicorp/go-azure-sdk/resource-manager/machinelearningservices/2022-10-01/job"

Client Initialization

client := job.NewJobClientWithBaseURI("https://management.azure.com")
client.Client.Authorizer = authorizer

Example Usage: JobClient.Cancel

ctx := context.TODO()
id := job.NewJobID("12345678-1234-9876-4563-123456789012", "example-resource-group", "workspaceValue", "jobValue")

if err := client.CancelThenPoll(ctx, id); err != nil {
	// handle the error
}

Example Usage: JobClient.CreateOrUpdate

ctx := context.TODO()
id := job.NewJobID("12345678-1234-9876-4563-123456789012", "example-resource-group", "workspaceValue", "jobValue")

payload := job.JobBaseResource{
	// ...
}


read, err := client.CreateOrUpdate(ctx, id, payload)
if err != nil {
	// handle the error
}
if model := read.Model; model != nil {
	// do something with the model/response object
}

Example Usage: JobClient.Delete

ctx := context.TODO()
id := job.NewJobID("12345678-1234-9876-4563-123456789012", "example-resource-group", "workspaceValue", "jobValue")

if err := client.DeleteThenPoll(ctx, id); err != nil {
	// handle the error
}

Example Usage: JobClient.Get

ctx := context.TODO()
id := job.NewJobID("12345678-1234-9876-4563-123456789012", "example-resource-group", "workspaceValue", "jobValue")

read, err := client.Get(ctx, id)
if err != nil {
	// handle the error
}
if model := read.Model; model != nil {
	// do something with the model/response object
}

Example Usage: JobClient.List

ctx := context.TODO()
id := job.NewWorkspaceID("12345678-1234-9876-4563-123456789012", "example-resource-group", "workspaceValue")

// alternatively `client.List(ctx, id, job.DefaultListOperationOptions())` can be used to do batched pagination
items, err := client.ListComplete(ctx, id, job.DefaultListOperationOptions())
if err != nil {
	// handle the error
}
for _, item := range items {
	// do something
}

Documentation

Index

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 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 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 

func ValidateJobID(input interface{}, key string) (warnings []string, errors []error)

ValidateJobID checks that 'input' can be parsed as a Job ID

func ValidateWorkspaceID 

func ValidateWorkspaceID(input interface{}, key string) (warnings []string, errors []error)

ValidateWorkspaceID checks that 'input' can be parsed as a Workspace ID

Types

type AmlToken 

type AmlToken struct {
}

func (AmlToken) MarshalJSON 

func (s AmlToken) MarshalJSON() ([]byte, error)

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"`
	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 (s AutoMLJob) MarshalJSON() ([]byte, error)

func (*AutoMLJob) UnmarshalJSON 

func (s *AutoMLJob) UnmarshalJSON(bytes []byte) error

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"
)

type CancelOperationResponse 

type CancelOperationResponse struct {
	Poller       polling.LongRunningPoller
	HttpResponse *http.Response
}

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              JobInput                            `json:"testData"`
	TestDataSize          *float64                            `json:"testDataSize,omitempty"`
	TrainingSettings      *ClassificationTrainingSettings     `json:"trainingSettings,omitempty"`
	ValidationData        JobInput                            `json:"validationData"`
	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     JobInput      `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"
)

type ClassificationMultilabelPrimaryMetrics 

type ClassificationMultilabelPrimaryMetrics string
const (
	ClassificationMultilabelPrimaryMetricsAUCWeighted                   ClassificationMultilabelPrimaryMetrics = "AUCWeighted"
	ClassificationMultilabelPrimaryMetricsAccuracy                      ClassificationMultilabelPrimaryMetrics = "Accuracy"
	ClassificationMultilabelPrimaryMetricsAveragePrecisionScoreWeighted ClassificationMultilabelPrimaryMetrics = "AveragePrecisionScoreWeighted"
	ClassificationMultilabelPrimaryMetricsIOU                           ClassificationMultilabelPrimaryMetrics = "IOU"
	ClassificationMultilabelPrimaryMetricsNormMacroRecall               ClassificationMultilabelPrimaryMetrics = "NormMacroRecall"
	ClassificationMultilabelPrimaryMetricsPrecisionScoreWeighted        ClassificationMultilabelPrimaryMetrics = "PrecisionScoreWeighted"
)

type ClassificationPrimaryMetrics 

type ClassificationPrimaryMetrics string
const (
	ClassificationPrimaryMetricsAUCWeighted                   ClassificationPrimaryMetrics = "AUCWeighted"
	ClassificationPrimaryMetricsAccuracy                      ClassificationPrimaryMetrics = "Accuracy"
	ClassificationPrimaryMetricsAveragePrecisionScoreWeighted ClassificationPrimaryMetrics = "AveragePrecisionScoreWeighted"
	ClassificationPrimaryMetricsNormMacroRecall               ClassificationPrimaryMetrics = "NormMacroRecall"
	ClassificationPrimaryMetricsPrecisionScoreWeighted        ClassificationPrimaryMetrics = "PrecisionScoreWeighted"
)

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"`
	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
	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 DeleteOperationResponse struct {
	Poller       polling.LongRunningPoller
	HttpResponse *http.Response
}

type DistributionConfiguration 

type DistributionConfiguration interface {
}

type DistributionType 

type DistributionType string
const (
	DistributionTypeMpi        DistributionType = "Mpi"
	DistributionTypePyTorch    DistributionType = "PyTorch"
	DistributionTypeTensorFlow DistributionType = "TensorFlow"
)

type EarlyTerminationPolicy 

type EarlyTerminationPolicy interface {
}

type EarlyTerminationPolicyType 

type EarlyTerminationPolicyType string
const (
	EarlyTerminationPolicyTypeBandit              EarlyTerminationPolicyType = "Bandit"
	EarlyTerminationPolicyTypeMedianStopping      EarlyTerminationPolicyType = "MedianStopping"
	EarlyTerminationPolicyTypeTruncationSelection EarlyTerminationPolicyType = "TruncationSelection"
)

type FeatureLags 

type FeatureLags string
const (
	FeatureLagsAuto FeatureLags = "Auto"
	FeatureLagsNone FeatureLags = "None"
)

type FeaturizationMode 

type FeaturizationMode string
const (
	FeaturizationModeAuto   FeaturizationMode = "Auto"
	FeaturizationModeCustom FeaturizationMode = "Custom"
	FeaturizationModeOff    FeaturizationMode = "Off"
)

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"
)

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              JobInput                            `json:"testData"`
	TestDataSize          *float64                            `json:"testDataSize,omitempty"`
	TrainingSettings      *ForecastingTrainingSettings        `json:"trainingSettings,omitempty"`
	ValidationData        JobInput                            `json:"validationData"`
	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     JobInput      `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"
)

type ForecastingPrimaryMetrics 

type ForecastingPrimaryMetrics string
const (
	ForecastingPrimaryMetricsNormalizedMeanAbsoluteError    ForecastingPrimaryMetrics = "NormalizedMeanAbsoluteError"
	ForecastingPrimaryMetricsNormalizedRootMeanSquaredError ForecastingPrimaryMetrics = "NormalizedRootMeanSquaredError"
	ForecastingPrimaryMetricsRTwoScore                      ForecastingPrimaryMetrics = "R2Score"
	ForecastingPrimaryMetricsSpearmanCorrelation            ForecastingPrimaryMetrics = "SpearmanCorrelation"
)

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
	Model        *JobBaseResource
}

type Goal 

type Goal string
const (
	GoalMaximize Goal = "Maximize"
	GoalMinimize Goal = "Minimize"
)

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"
)

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     JobInput                                        `json:"validationData"`
	ValidationDataSize *float64                                        `json:"validationDataSize,omitempty"`

	// Fields inherited from AutoMLVertical
	LogVerbosity     *LogVerbosity `json:"logVerbosity,omitempty"`
	TargetColumnName *string       `json:"targetColumnName,omitempty"`
	TrainingData     JobInput      `json:"trainingData"`
}

func (ImageClassification) MarshalJSON 

func (s ImageClassification) MarshalJSON() ([]byte, error)

func (*ImageClassification) UnmarshalJSON 

func (s *ImageClassification) UnmarshalJSON(bytes []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     JobInput                                        `json:"validationData"`
	ValidationDataSize *float64                                        `json:"validationDataSize,omitempty"`

	// Fields inherited from AutoMLVertical
	LogVerbosity     *LogVerbosity `json:"logVerbosity,omitempty"`
	TargetColumnName *string       `json:"targetColumnName,omitempty"`
	TrainingData     JobInput      `json:"trainingData"`
}

func (ImageClassificationMultilabel) MarshalJSON 

func (s ImageClassificationMultilabel) MarshalJSON() ([]byte, error)

func (*ImageClassificationMultilabel) UnmarshalJSON 

func (s *ImageClassificationMultilabel) UnmarshalJSON(bytes []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     JobInput                                         `json:"validationData"`
	ValidationDataSize *float64                                         `json:"validationDataSize,omitempty"`

	// Fields inherited from AutoMLVertical
	LogVerbosity     *LogVerbosity `json:"logVerbosity,omitempty"`
	TargetColumnName *string       `json:"targetColumnName,omitempty"`
	TrainingData     JobInput      `json:"trainingData"`
}

func (ImageInstanceSegmentation) MarshalJSON 

func (s ImageInstanceSegmentation) MarshalJSON() ([]byte, error)

func (*ImageInstanceSegmentation) UnmarshalJSON 

func (s *ImageInstanceSegmentation) UnmarshalJSON(bytes []byte) error

type ImageLimitSettings 

type ImageLimitSettings struct {
	MaxConcurrentTrials *int64  `json:"maxConcurrentTrials,omitempty"`
	MaxTrials           *int64  `json:"maxTrials,omitempty"`
	Timeout             *string `json:"timeout,omitempty"`
}

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            JobInput               `json:"checkpointModel"`
	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"`
}

func (*ImageModelSettingsClassification) UnmarshalJSON 

func (s *ImageModelSettingsClassification) UnmarshalJSON(bytes []byte) error

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             JobInput               `json:"checkpointModel"`
	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"`
}

func (*ImageModelSettingsObjectDetection) UnmarshalJSON 

func (s *ImageModelSettingsObjectDetection) UnmarshalJSON(bytes []byte) error

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     JobInput                                         `json:"validationData"`
	ValidationDataSize *float64                                         `json:"validationDataSize,omitempty"`

	// Fields inherited from AutoMLVertical
	LogVerbosity     *LogVerbosity `json:"logVerbosity,omitempty"`
	TargetColumnName *string       `json:"targetColumnName,omitempty"`
	TrainingData     JobInput      `json:"trainingData"`
}

func (ImageObjectDetection) MarshalJSON 

func (s ImageObjectDetection) MarshalJSON() ([]byte, error)

func (*ImageObjectDetection) UnmarshalJSON 

func (s *ImageObjectDetection) UnmarshalJSON(bytes []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"
)

type InstanceSegmentationPrimaryMetrics 

type InstanceSegmentationPrimaryMetrics string
const (
	InstanceSegmentationPrimaryMetricsMeanAveragePrecision InstanceSegmentationPrimaryMetrics = "MeanAveragePrecision"
)

type JobBase 

type JobBase interface {
}

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 

type JobBaseResourceOperationPredicate struct {
	Id   *string
	Name *string
	Type *string
}

func (JobBaseResourceOperationPredicate) Matches 

func (p JobBaseResourceOperationPredicate) Matches(input JobBaseResource) bool

type JobClient 

type JobClient struct {
	Client autorest.Client
	// contains filtered or unexported fields
}

func NewJobClientWithBaseURI 

func NewJobClientWithBaseURI(endpoint string) JobClient

func (JobClient) Cancel 

func (c JobClient) Cancel(ctx context.Context, id JobId) (result CancelOperationResponse, err error)

Cancel ...

func (JobClient) CancelThenPoll 

func (c JobClient) CancelThenPoll(ctx context.Context, id JobId) error

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 

func (c JobClient) DeleteThenPoll(ctx context.Context, id JobId) error

DeleteThenPoll performs Delete then polls until it's completed

func (JobClient) Get 

func (c JobClient) Get(ctx context.Context, id JobId) (result GetOperationResponse, err error)

Get ...

func (JobClient) List 

func (c JobClient) List(ctx context.Context, id WorkspaceId, options ListOperationOptions) (resp ListOperationResponse, err error)

List ...

func (JobClient) ListComplete 

func (c JobClient) ListComplete(ctx context.Context, id WorkspaceId, options ListOperationOptions) (ListCompleteResult, error)

ListComplete retrieves all of the results into a single object

func (JobClient) ListCompleteMatchingPredicate 

func (c JobClient) ListCompleteMatchingPredicate(ctx context.Context, id WorkspaceId, options ListOperationOptions, predicate JobBaseResourceOperationPredicate) (resp ListCompleteResult, err error)

ListCompleteMatchingPredicate retrieves all of the results and then applied 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 

func ParseJobID(input string) (*JobId, error)

ParseJobID parses 'input' into a JobId

func ParseJobIDInsensitively 

func ParseJobIDInsensitively(input string) (*JobId, error)

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) ID 

func (id JobId) ID() string

ID returns the formatted Job ID

func (JobId) Segments 

func (id JobId) Segments() []resourceids.Segment

Segments returns a slice of Resource ID Segments which comprise this Job ID

func (JobId) String 

func (id JobId) String() string

String returns a human-readable description of this Job ID

type JobInput 

type JobInput interface {
}

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"
)

type JobLimits 

type JobLimits interface {
}

type JobLimitsType 

type JobLimitsType string
const (
	JobLimitsTypeCommand JobLimitsType = "Command"
	JobLimitsTypeSweep   JobLimitsType = "Sweep"
)

type JobOutput 

type JobOutput interface {
}

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"
)

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"`
	Port           *int64             `json:"port,omitempty"`
	Properties     *map[string]string `json:"properties,omitempty"`
	Status         *string            `json:"status,omitempty"`
}

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"
)

type JobType 

type JobType string
const (
	JobTypeAutoML   JobType = "AutoML"
	JobTypeCommand  JobType = "Command"
	JobTypePipeline JobType = "Pipeline"
	JobTypeSweep    JobType = "Sweep"
)

type LearningRateScheduler 

type LearningRateScheduler string
const (
	LearningRateSchedulerNone         LearningRateScheduler = "None"
	LearningRateSchedulerStep         LearningRateScheduler = "Step"
	LearningRateSchedulerWarmupCosine LearningRateScheduler = "WarmupCosine"
)

type ListCompleteResult 

type ListCompleteResult struct {
	Items []JobBaseResource
}

type ListOperationOptions 

type ListOperationOptions struct {
	JobType      *string
	ListViewType *ListViewType
	Skip         *string
	Tag          *string
}

func DefaultListOperationOptions 

func DefaultListOperationOptions() ListOperationOptions

type ListOperationResponse 

type ListOperationResponse struct {
	HttpResponse *http.Response
	Model        *[]JobBaseResource
	// contains filtered or unexported fields
}

func (ListOperationResponse) HasMore 

func (r ListOperationResponse) HasMore() bool

func (ListOperationResponse) LoadMore 

func (r ListOperationResponse) LoadMore(ctx context.Context) (resp ListOperationResponse, err error)

type ListViewType 

type ListViewType string
const (
	ListViewTypeActiveOnly   ListViewType = "ActiveOnly"
	ListViewTypeAll          ListViewType = "All"
	ListViewTypeArchivedOnly ListViewType = "ArchivedOnly"
)

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"
)

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 ModelSize 

type ModelSize string
const (
	ModelSizeExtraLarge ModelSize = "ExtraLarge"
	ModelSizeLarge      ModelSize = "Large"
	ModelSizeMedium     ModelSize = "Medium"
	ModelSizeNone       ModelSize = "None"
	ModelSizeSmall      ModelSize = "Small"
)

type Mpi 

type Mpi struct {
	ProcessCountPerInstance *int64 `json:"processCountPerInstance,omitempty"`
}

func (Mpi) MarshalJSON 

func (s Mpi) MarshalJSON() ([]byte, error)

type NCrossValidations 

type NCrossValidations interface {
}

type NCrossValidationsMode 

type NCrossValidationsMode string
const (
	NCrossValidationsModeAuto   NCrossValidationsMode = "Auto"
	NCrossValidationsModeCustom NCrossValidationsMode = "Custom"
)

type NlpVerticalLimitSettings 

type NlpVerticalLimitSettings struct {
	MaxConcurrentTrials *int64  `json:"maxConcurrentTrials,omitempty"`
	MaxTrials           *int64  `json:"maxTrials,omitempty"`
	Timeout             *string `json:"timeout,omitempty"`
}

type ObjectDetectionPrimaryMetrics 

type ObjectDetectionPrimaryMetrics string
const (
	ObjectDetectionPrimaryMetricsMeanAveragePrecision ObjectDetectionPrimaryMetrics = "MeanAveragePrecision"
)

type Objective 

type Objective struct {
	Goal          Goal   `json:"goal"`
	PrimaryMetric string `json:"primaryMetric"`
}

type OutputDeliveryMode 

type OutputDeliveryMode string
const (
	OutputDeliveryModeReadWriteMount OutputDeliveryMode = "ReadWriteMount"
	OutputDeliveryModeUpload         OutputDeliveryMode = "Upload"
)

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 

func (s PyTorch) MarshalJSON() ([]byte, error)

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"
)

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              JobInput                            `json:"testData"`
	TestDataSize          *float64                            `json:"testDataSize,omitempty"`
	TrainingSettings      *RegressionTrainingSettings         `json:"trainingSettings,omitempty"`
	ValidationData        JobInput                            `json:"validationData"`
	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     JobInput      `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"
)

type RegressionPrimaryMetrics 

type RegressionPrimaryMetrics string
const (
	RegressionPrimaryMetricsNormalizedMeanAbsoluteError    RegressionPrimaryMetrics = "NormalizedMeanAbsoluteError"
	RegressionPrimaryMetricsNormalizedRootMeanSquaredError RegressionPrimaryMetrics = "NormalizedRootMeanSquaredError"
	RegressionPrimaryMetricsRTwoScore                      RegressionPrimaryMetrics = "R2Score"
	RegressionPrimaryMetricsSpearmanCorrelation            RegressionPrimaryMetrics = "SpearmanCorrelation"
)

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"
)

type Seasonality 

type Seasonality interface {
}

type SeasonalityMode 

type SeasonalityMode string
const (
	SeasonalityModeAuto   SeasonalityMode = "Auto"
	SeasonalityModeCustom SeasonalityMode = "Custom"
)

type ShortSeriesHandlingConfiguration 

type ShortSeriesHandlingConfiguration string
const (
	ShortSeriesHandlingConfigurationAuto ShortSeriesHandlingConfiguration = "Auto"
	ShortSeriesHandlingConfigurationDrop ShortSeriesHandlingConfiguration = "Drop"
	ShortSeriesHandlingConfigurationNone ShortSeriesHandlingConfiguration = "None"
	ShortSeriesHandlingConfigurationPad  ShortSeriesHandlingConfiguration = "Pad"
)

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"
)

type StochasticOptimizer 

type StochasticOptimizer string
const (
	StochasticOptimizerAdam  StochasticOptimizer = "Adam"
	StochasticOptimizerAdamw StochasticOptimizer = "Adamw"
	StochasticOptimizerNone  StochasticOptimizer = "None"
	StochasticOptimizerSgd   StochasticOptimizer = "Sgd"
)

type SweepJob 

type SweepJob struct {
	EarlyTermination  EarlyTerminationPolicy `json:"earlyTermination"`
	Inputs            *map[string]JobInput   `json:"inputs,omitempty"`
	Limits            JobLimits              `json:"limits"`
	Objective         Objective              `json:"objective"`
	Outputs           *map[string]JobOutput  `json:"outputs,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 (s SweepJob) MarshalJSON() ([]byte, error)

func (*SweepJob) UnmarshalJSON 

func (s *SweepJob) UnmarshalJSON(bytes []byte) error

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"
)

type TargetLags 

type TargetLags interface {
}

type TargetLagsMode 

type TargetLagsMode string
const (
	TargetLagsModeAuto   TargetLagsMode = "Auto"
	TargetLagsModeCustom TargetLagsMode = "Custom"
)

type TargetRollingWindowSize 

type TargetRollingWindowSize interface {
}

type TargetRollingWindowSizeMode 

type TargetRollingWindowSizeMode string
const (
	TargetRollingWindowSizeModeAuto   TargetRollingWindowSizeMode = "Auto"
	TargetRollingWindowSizeModeCustom TargetRollingWindowSizeMode = "Custom"
)

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"
)

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        JobInput                      `json:"validationData"`

	// Fields inherited from AutoMLVertical
	LogVerbosity     *LogVerbosity `json:"logVerbosity,omitempty"`
	TargetColumnName *string       `json:"targetColumnName,omitempty"`
	TrainingData     JobInput      `json:"trainingData"`
}

func (TextClassification) MarshalJSON 

func (s TextClassification) MarshalJSON() ([]byte, error)

func (*TextClassification) UnmarshalJSON 

func (s *TextClassification) UnmarshalJSON(bytes []byte) error

type TextClassificationMultilabel 

type TextClassificationMultilabel struct {
	FeaturizationSettings *FeaturizationSettings                  `json:"featurizationSettings,omitempty"`
	LimitSettings         *NlpVerticalLimitSettings               `json:"limitSettings,omitempty"`
	PrimaryMetric         *ClassificationMultilabelPrimaryMetrics `json:"primaryMetric,omitempty"`
	ValidationData        JobInput                                `json:"validationData"`

	// Fields inherited from AutoMLVertical
	LogVerbosity     *LogVerbosity `json:"logVerbosity,omitempty"`
	TargetColumnName *string       `json:"targetColumnName,omitempty"`
	TrainingData     JobInput      `json:"trainingData"`
}

func (TextClassificationMultilabel) MarshalJSON 

func (s TextClassificationMultilabel) MarshalJSON() ([]byte, error)

func (*TextClassificationMultilabel) UnmarshalJSON 

func (s *TextClassificationMultilabel) UnmarshalJSON(bytes []byte) error

type TextNer 

type TextNer struct {
	FeaturizationSettings *FeaturizationSettings        `json:"featurizationSettings,omitempty"`
	LimitSettings         *NlpVerticalLimitSettings     `json:"limitSettings,omitempty"`
	PrimaryMetric         *ClassificationPrimaryMetrics `json:"primaryMetric,omitempty"`
	ValidationData        JobInput                      `json:"validationData"`

	// Fields inherited from AutoMLVertical
	LogVerbosity     *LogVerbosity `json:"logVerbosity,omitempty"`
	TargetColumnName *string       `json:"targetColumnName,omitempty"`
	TrainingData     JobInput      `json:"trainingData"`
}

func (TextNer) MarshalJSON 

func (s TextNer) MarshalJSON() ([]byte, error)

func (*TextNer) UnmarshalJSON 

func (s *TextNer) UnmarshalJSON(bytes []byte) error

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 UseStl 

type UseStl string
const (
	UseStlNone        UseStl = "None"
	UseStlSeason      UseStl = "Season"
	UseStlSeasonTrend UseStl = "SeasonTrend"
)

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"
)

type WorkspaceId 

type WorkspaceId struct {
	SubscriptionId    string
	ResourceGroupName string
	WorkspaceName     string
}

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) ID 

func (id WorkspaceId) ID() string

ID returns the formatted Workspace ID

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

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