Categorygithub.com/Azure/azure-sdk-for-go/sdk/resourcemanager/machinelearning/armmachinelearning/v3
modulepackage
3.2.0
Repository: https://github.com/azure/azure-sdk-for-go.git
Documentation: pkg.go.dev

# README

Azure Machine Learning Module for Go

PkgGoDev

The armmachinelearning module provides operations for working with Azure Machine Learning.

Source code

Getting started

Prerequisites

  • an Azure subscription
  • Go 1.18 or above (You could download and install the latest version of Go from here. It will replace the existing Go on your machine. If you want to install multiple Go versions on the same machine, you could refer this doc.)

Install the package

This project uses Go modules for versioning and dependency management.

Install the Azure Machine Learning module:

go get github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/machinelearning/armmachinelearning/v2

Authorization

When creating a client, you will need to provide a credential for authenticating with Azure Machine Learning. The azidentity module provides facilities for various ways of authenticating with Azure including client/secret, certificate, managed identity, and more.

cred, err := azidentity.NewDefaultAzureCredential(nil)

For more information on authentication, please see the documentation for azidentity at pkg.go.dev/github.com/Azure/azure-sdk-for-go/sdk/azidentity.

Client Factory

Azure Machine Learning module consists of one or more clients. We provide a client factory which could be used to create any client in this module.

clientFactory, err := armmachinelearning.NewClientFactory(<subscription ID>, cred, nil)

You can use ClientOptions in package github.com/Azure/azure-sdk-for-go/sdk/azcore/arm to set endpoint to connect with public and sovereign clouds as well as Azure Stack. For more information, please see the documentation for azcore at pkg.go.dev/github.com/Azure/azure-sdk-for-go/sdk/azcore.

options := arm.ClientOptions {
    ClientOptions: azcore.ClientOptions {
        Cloud: cloud.AzureChina,
    },
}
clientFactory, err := armmachinelearning.NewClientFactory(<subscription ID>, cred, &options)

Clients

A client groups a set of related APIs, providing access to its functionality. Create one or more clients to access the APIs you require using client factory.

client := clientFactory.NewUsagesClient()

Fakes

The fake package contains types used for constructing in-memory fake servers used in unit tests. This allows writing tests to cover various success/error conditions without the need for connecting to a live service.

Please see https://github.com/Azure/azure-sdk-for-go/tree/main/sdk/samples/fakes for details and examples on how to use fakes.

Major Version Upgrade

Go uses semantic import versioning to ensure a good backward compatibility for modules. For Azure Go management SDK, we usually upgrade module version according to cooresponding service's API version. Regarding it could be a complicated experience for major version upgrade, we will try our best to keep the SDK API stable and release new version in backward compatible way. However, if any unavoidable breaking changes and a new major version releases for SDK modules, you could use these commands under your module folder to upgrade:

go install github.com/icholy/gomajor@latest
gomajor get github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/compute/armcompute@latest

Provide Feedback

If you encounter bugs or have suggestions, please open an issue and assign the Machine Learning label.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information, see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

# Packages

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# Functions

NewBatchDeploymentsClient creates a new instance of BatchDeploymentsClient with the specified values.
NewBatchEndpointsClient creates a new instance of BatchEndpointsClient with the specified values.
NewClientFactory creates a new instance of ClientFactory with the specified values.
NewCodeContainersClient creates a new instance of CodeContainersClient with the specified values.
NewCodeVersionsClient creates a new instance of CodeVersionsClient with the specified values.
NewComponentContainersClient creates a new instance of ComponentContainersClient with the specified values.
NewComponentVersionsClient creates a new instance of ComponentVersionsClient with the specified values.
NewComputeClient creates a new instance of ComputeClient with the specified values.
NewDataContainersClient creates a new instance of DataContainersClient with the specified values.
NewDatastoresClient creates a new instance of DatastoresClient with the specified values.
NewDataVersionsClient creates a new instance of DataVersionsClient with the specified values.
NewEnvironmentContainersClient creates a new instance of EnvironmentContainersClient with the specified values.
NewEnvironmentVersionsClient creates a new instance of EnvironmentVersionsClient with the specified values.
NewJobsClient creates a new instance of JobsClient with the specified values.
NewModelContainersClient creates a new instance of ModelContainersClient with the specified values.
NewModelVersionsClient creates a new instance of ModelVersionsClient with the specified values.
NewOnlineDeploymentsClient creates a new instance of OnlineDeploymentsClient with the specified values.
NewOnlineEndpointsClient creates a new instance of OnlineEndpointsClient with the specified values.
NewOperationsClient creates a new instance of OperationsClient with the specified values.
NewPrivateEndpointConnectionsClient creates a new instance of PrivateEndpointConnectionsClient with the specified values.
NewPrivateLinkResourcesClient creates a new instance of PrivateLinkResourcesClient with the specified values.
NewQuotasClient creates a new instance of QuotasClient with the specified values.
NewSchedulesClient creates a new instance of SchedulesClient with the specified values.
NewUsagesClient creates a new instance of UsagesClient with the specified values.
NewVirtualMachineSizesClient creates a new instance of VirtualMachineSizesClient with the specified values.
NewWorkspaceConnectionsClient creates a new instance of WorkspaceConnectionsClient with the specified values.
NewWorkspaceFeaturesClient creates a new instance of WorkspaceFeaturesClient with the specified values.
NewWorkspacesClient creates a new instance of WorkspacesClient with the specified values.
PossibleAllocationStateValues returns the possible values for the AllocationState const type.
PossibleApplicationSharingPolicyValues returns the possible values for the ApplicationSharingPolicy const type.
PossibleAutoRebuildSettingValues returns the possible values for the AutoRebuildSetting const type.
PossibleAutosaveValues returns the possible values for the Autosave const type.
PossibleBatchLoggingLevelValues returns the possible values for the BatchLoggingLevel const type.
PossibleBatchOutputActionValues returns the possible values for the BatchOutputAction const type.
PossibleBillingCurrencyValues returns the possible values for the BillingCurrency const type.
PossibleBlockedTransformersValues returns the possible values for the BlockedTransformers const type.
PossibleCachingValues returns the possible values for the Caching const type.
PossibleClassificationModelsValues returns the possible values for the ClassificationModels const type.
PossibleClassificationMultilabelPrimaryMetricsValues returns the possible values for the ClassificationMultilabelPrimaryMetrics const type.
PossibleClassificationPrimaryMetricsValues returns the possible values for the ClassificationPrimaryMetrics const type.
PossibleClusterPurposeValues returns the possible values for the ClusterPurpose const type.
PossibleComputeInstanceAuthorizationTypeValues returns the possible values for the ComputeInstanceAuthorizationType const type.
PossibleComputeInstanceStateValues returns the possible values for the ComputeInstanceState const type.
PossibleComputePowerActionValues returns the possible values for the ComputePowerAction const type.
PossibleComputeTypeValues returns the possible values for the ComputeType const type.
PossibleConnectionAuthTypeValues returns the possible values for the ConnectionAuthType const type.
PossibleConnectionCategoryValues returns the possible values for the ConnectionCategory const type.
PossibleContainerTypeValues returns the possible values for the ContainerType const type.
PossibleCreatedByTypeValues returns the possible values for the CreatedByType const type.
PossibleCredentialsTypeValues returns the possible values for the CredentialsType const type.
PossibleDatastoreTypeValues returns the possible values for the DatastoreType const type.
PossibleDataTypeValues returns the possible values for the DataType const type.
PossibleDeploymentProvisioningStateValues returns the possible values for the DeploymentProvisioningState const type.
PossibleDiagnoseResultLevelValues returns the possible values for the DiagnoseResultLevel const type.
PossibleDistributionTypeValues returns the possible values for the DistributionType const type.
PossibleEarlyTerminationPolicyTypeValues returns the possible values for the EarlyTerminationPolicyType const type.
PossibleEgressPublicNetworkAccessTypeValues returns the possible values for the EgressPublicNetworkAccessType const type.
PossibleEncryptionStatusValues returns the possible values for the EncryptionStatus const type.
PossibleEndpointAuthModeValues returns the possible values for the EndpointAuthMode const type.
PossibleEndpointComputeTypeValues returns the possible values for the EndpointComputeType const type.
PossibleEndpointProvisioningStateValues returns the possible values for the EndpointProvisioningState const type.
PossibleEnvironmentTypeValues returns the possible values for the EnvironmentType const type.
PossibleFeatureLagsValues returns the possible values for the FeatureLags const type.
PossibleFeaturizationModeValues returns the possible values for the FeaturizationMode const type.
PossibleForecastHorizonModeValues returns the possible values for the ForecastHorizonMode const type.
PossibleForecastingModelsValues returns the possible values for the ForecastingModels const type.
PossibleForecastingPrimaryMetricsValues returns the possible values for the ForecastingPrimaryMetrics const type.
PossibleGoalValues returns the possible values for the Goal const type.
PossibleIdentityConfigurationTypeValues returns the possible values for the IdentityConfigurationType const type.
PossibleInputDeliveryModeValues returns the possible values for the InputDeliveryMode const type.
PossibleInstanceSegmentationPrimaryMetricsValues returns the possible values for the InstanceSegmentationPrimaryMetrics const type.
PossibleJobInputTypeValues returns the possible values for the JobInputType const type.
PossibleJobLimitsTypeValues returns the possible values for the JobLimitsType const type.
PossibleJobOutputTypeValues returns the possible values for the JobOutputType const type.
PossibleJobStatusValues returns the possible values for the JobStatus const type.
PossibleJobTypeValues returns the possible values for the JobType const type.
PossibleKeyTypeValues returns the possible values for the KeyType const type.
PossibleLearningRateSchedulerValues returns the possible values for the LearningRateScheduler const type.
PossibleListViewTypeValues returns the possible values for the ListViewType const type.
PossibleLoadBalancerTypeValues returns the possible values for the LoadBalancerType const type.
PossibleLogVerbosityValues returns the possible values for the LogVerbosity const type.
PossibleManagedServiceIdentityTypeValues returns the possible values for the ManagedServiceIdentityType const type.
PossibleModelSizeValues returns the possible values for the ModelSize const type.
PossibleMountActionValues returns the possible values for the MountAction const type.
PossibleMountStateValues returns the possible values for the MountState const type.
PossibleNCrossValidationsModeValues returns the possible values for the NCrossValidationsMode const type.
PossibleNetworkValues returns the possible values for the Network const type.
PossibleNodeStateValues returns the possible values for the NodeState const type.
PossibleObjectDetectionPrimaryMetricsValues returns the possible values for the ObjectDetectionPrimaryMetrics const type.
PossibleOperatingSystemTypeValues returns the possible values for the OperatingSystemType const type.
PossibleOperationNameValues returns the possible values for the OperationName const type.
PossibleOperationStatusValues returns the possible values for the OperationStatus const type.
PossibleOperationTriggerValues returns the possible values for the OperationTrigger const type.
PossibleOrderStringValues returns the possible values for the OrderString const type.
PossibleOsTypeValues returns the possible values for the OsType const type.
PossibleOutputDeliveryModeValues returns the possible values for the OutputDeliveryMode const type.
PossiblePrivateEndpointConnectionProvisioningStateValues returns the possible values for the PrivateEndpointConnectionProvisioningState const type.
PossiblePrivateEndpointServiceConnectionStatusValues returns the possible values for the PrivateEndpointServiceConnectionStatus const type.
PossibleProvisioningStateValues returns the possible values for the ProvisioningState const type.
PossibleProvisioningStatusValues returns the possible values for the ProvisioningStatus const type.
PossiblePublicNetworkAccessTypeValues returns the possible values for the PublicNetworkAccessType const type.
PossiblePublicNetworkAccessValues returns the possible values for the PublicNetworkAccess const type.
PossibleQuotaUnitValues returns the possible values for the QuotaUnit const type.
PossibleRandomSamplingAlgorithmRuleValues returns the possible values for the RandomSamplingAlgorithmRule const type.
PossibleRecurrenceFrequencyValues returns the possible values for the RecurrenceFrequency const type.
PossibleReferenceTypeValues returns the possible values for the ReferenceType const type.
PossibleRegressionModelsValues returns the possible values for the RegressionModels const type.
PossibleRegressionPrimaryMetricsValues returns the possible values for the RegressionPrimaryMetrics const type.
PossibleRemoteLoginPortPublicAccessValues returns the possible values for the RemoteLoginPortPublicAccess const type.
PossibleSamplingAlgorithmTypeValues returns the possible values for the SamplingAlgorithmType const type.
PossibleScaleTypeValues returns the possible values for the ScaleType const type.
PossibleScheduleActionTypeValues returns the possible values for the ScheduleActionType const type.
PossibleScheduleListViewTypeValues returns the possible values for the ScheduleListViewType const type.
PossibleScheduleProvisioningStateValues returns the possible values for the ScheduleProvisioningState const type.
PossibleScheduleProvisioningStatusValues returns the possible values for the ScheduleProvisioningStatus const type.
PossibleScheduleStatusValues returns the possible values for the ScheduleStatus const type.
PossibleSeasonalityModeValues returns the possible values for the SeasonalityMode const type.
PossibleSecretsTypeValues returns the possible values for the SecretsType const type.
PossibleServiceDataAccessAuthIdentityValues returns the possible values for the ServiceDataAccessAuthIdentity const type.
PossibleShortSeriesHandlingConfigurationValues returns the possible values for the ShortSeriesHandlingConfiguration const type.
PossibleSKUScaleTypeValues returns the possible values for the SKUScaleType const type.
PossibleSKUTierValues returns the possible values for the SKUTier const type.
PossibleSourceTypeValues returns the possible values for the SourceType const type.
PossibleSSHPublicAccessValues returns the possible values for the SSHPublicAccess const type.
PossibleSSLConfigStatusValues returns the possible values for the SSLConfigStatus const type.
PossibleStackMetaLearnerTypeValues returns the possible values for the StackMetaLearnerType const type.
PossibleStatusValues returns the possible values for the Status const type.
PossibleStochasticOptimizerValues returns the possible values for the StochasticOptimizer const type.
PossibleStorageAccountTypeValues returns the possible values for the StorageAccountType const type.
PossibleTargetAggregationFunctionValues returns the possible values for the TargetAggregationFunction const type.
PossibleTargetLagsModeValues returns the possible values for the TargetLagsMode const type.
PossibleTargetRollingWindowSizeModeValues returns the possible values for the TargetRollingWindowSizeMode const type.
PossibleTaskTypeValues returns the possible values for the TaskType const type.
PossibleTriggerTypeValues returns the possible values for the TriggerType const type.
PossibleUnderlyingResourceActionValues returns the possible values for the UnderlyingResourceAction const type.
PossibleUnitOfMeasureValues returns the possible values for the UnitOfMeasure const type.
PossibleUsageUnitValues returns the possible values for the UsageUnit const type.
PossibleUseStlValues returns the possible values for the UseStl const type.
PossibleValidationMetricTypeValues returns the possible values for the ValidationMetricType const type.
PossibleValueFormatValues returns the possible values for the ValueFormat const type.
PossibleVMPriceOSTypeValues returns the possible values for the VMPriceOSType const type.
PossibleVMPriorityValues returns the possible values for the VMPriority const type.
PossibleVMTierValues returns the possible values for the VMTier const type.
PossibleWeekDayValues returns the possible values for the WeekDay const type.

# Constants

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BlockedTransformersCatTargetEncoder - Target encoding for categorical data.
BlockedTransformersCountVectorizer - Count Vectorizer converts a collection of text documents to a matrix of token counts.
BlockedTransformersHashOneHotEncoder - Hashing One Hot Encoder can turn categorical variables into a limited number of new features.
BlockedTransformersLabelEncoder - Label encoder converts labels/categorical variables in a numerical form.
BlockedTransformersNaiveBayes - Naive Bayes is a classified that is used for classification of discrete features that are categorically distributed.
BlockedTransformersOneHotEncoder - Ohe hot encoding creates a binary feature transformation.
BlockedTransformersTextTargetEncoder - Target encoding for text data.
BlockedTransformersTfIdf - Tf-Idf stands for, term-frequency times inverse document-frequency.
BlockedTransformersWoETargetEncoder - Weight of Evidence encoding is a technique used to encode categorical variables.
BlockedTransformersWordEmbedding - Word embedding helps represents words or phrases as a vector, or a series of numbers.
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ClassificationModelsBernoulliNaiveBayes - Naive Bayes classifier for multivariate Bernoulli models.
ClassificationModelsDecisionTree - Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks.
ClassificationModelsExtremeRandomTrees - Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees.
ClassificationModelsGradientBoosting - The technique of transiting week learners into a strong learner is called Boosting.
ClassificationModelsKNN - K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints which further means that the new data point will be assigned a value based on how closely it matches the points in the training set.
ClassificationModelsLightGBM - LightGBM is a gradient boosting framework that uses tree based learning algorithms.
ClassificationModelsLinearSVM - A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems.
ClassificationModelsLogisticRegression - Logistic regression is a fundamental classification technique.
ClassificationModelsMultinomialNaiveBayes - The multinomial Naive Bayes classifier is suitable for classification with discrete features (e.g., word counts for text classification).
ClassificationModelsRandomForest - Random forest is a supervised learning algorithm.
ClassificationModelsSGD - SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs.
ClassificationModelsSVM - A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems.
ClassificationModelsXGBoostClassifier - XGBoost: Extreme Gradient Boosting Algorithm.
ClassificationMultilabelPrimaryMetricsAccuracy - Accuracy is the ratio of predictions that exactly match the true class labels.
ClassificationMultilabelPrimaryMetricsAUCWeighted - AUC is the Area under the curve.
ClassificationMultilabelPrimaryMetricsAveragePrecisionScoreWeighted - The arithmetic mean of the average precision score for each class, weighted by the number of true instances in each class.
ClassificationMultilabelPrimaryMetricsIOU - Intersection Over Union.
ClassificationMultilabelPrimaryMetricsNormMacroRecall - Normalized macro recall is recall macro-averaged and normalized, so that random performance has a score of 0, and perfect performance has a score of 1.
ClassificationMultilabelPrimaryMetricsPrecisionScoreWeighted - The arithmetic mean of precision for each class, weighted by number of true instances in each class.
ClassificationPrimaryMetricsAccuracy - Accuracy is the ratio of predictions that exactly match the true class labels.
ClassificationPrimaryMetricsAUCWeighted - AUC is the Area under the curve.
ClassificationPrimaryMetricsAveragePrecisionScoreWeighted - The arithmetic mean of the average precision score for each class, weighted by the number of true instances in each class.
ClassificationPrimaryMetricsNormMacroRecall - Normalized macro recall is recall macro-averaged and normalized, so that random performance has a score of 0, and perfect performance has a score of 1.
ClassificationPrimaryMetricsPrecisionScoreWeighted - The arithmetic mean of precision for each class, weighted by number of true instances in each class.
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FeatureLagsAuto - System auto-generates feature lags.
FeatureLagsNone - No feature lags generated.
FeaturizationModeAuto - Auto mode, system performs featurization without any custom featurization inputs.
FeaturizationModeCustom - Custom featurization.
FeaturizationModeOff - Featurization off.
ForecastHorizonModeAuto - Forecast horizon to be determined automatically.
ForecastHorizonModeCustom - Use the custom forecast horizon.
ForecastingModelsArimax - An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.
ForecastingModelsAutoArima - Auto-Autoregressive Integrated Moving Average (ARIMA) model uses time-series data and statistical analysis to interpret the data and make future predictions.
ForecastingModelsAverage - The Average forecasting model makes predictions by carrying forward the average of the target values for each time-series in the training data.
ForecastingModelsDecisionTree - Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks.
ForecastingModelsElasticNet - Elastic net is a popular type of regularized linear regression that combines two popular penalties, specifically the L1 and L2 penalty functions.
ForecastingModelsExponentialSmoothing - Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component.
ForecastingModelsExtremeRandomTrees - Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees.
ForecastingModelsGradientBoosting - The technique of transiting week learners into a strong learner is called Boosting.
ForecastingModelsKNN - K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints which further means that the new data point will be assigned a value based on how closely it matches the points in the training set.
ForecastingModelsLassoLars - Lasso model fit with Least Angle Regression a.k.a.
ForecastingModelsLightGBM - LightGBM is a gradient boosting framework that uses tree based learning algorithms.
ForecastingModelsNaive - The Naive forecasting model makes predictions by carrying forward the latest target value for each time-series in the training data.
ForecastingModelsProphet - Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
ForecastingModelsRandomForest - Random forest is a supervised learning algorithm.
ForecastingModelsSeasonalAverage - The Seasonal Average forecasting model makes predictions by carrying forward the average value of the latest season of data for each time-series in the training data.
ForecastingModelsSeasonalNaive - The Seasonal Naive forecasting model makes predictions by carrying forward the latest season of target values for each time-series in the training data.
ForecastingModelsSGD - SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs.
ForecastingModelsTCNForecaster - TCNForecaster: Temporal Convolutional Networks Forecaster.
ForecastingModelsXGBoostRegressor - XGBoostRegressor: Extreme Gradient Boosting Regressor is a supervised machine learning model using ensemble of base learners.
ForecastingPrimaryMetricsNormalizedMeanAbsoluteError - The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.
ForecastingPrimaryMetricsNormalizedRootMeanSquaredError - The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales.
ForecastingPrimaryMetricsR2Score - The R2 score is one of the performance evaluation measures for forecasting-based machine learning models.
ForecastingPrimaryMetricsSpearmanCorrelation - The Spearman's rank coefficient of correlation is a non-parametric measure of rank correlation.
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InstanceSegmentationPrimaryMetricsMeanAveragePrecision - Mean Average Precision (MAP) is the average of AP (Average Precision).
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JobStatusCanceled - Following cancellation request, the job is now successfully canceled.
JobStatusCancelRequested - Cancellation has been requested for the job.
JobStatusCompleted - Job completed successfully.
JobStatusFailed - Job failed.
JobStatusFinalizing - Job is completed in the target.
JobStatusNotResponding - When heartbeat is enabled, if the run isn't updating any information to RunHistory then the run goes to NotResponding state.
JobStatusNotStarted - Run hasn't started yet.
JobStatusPaused - The job is paused by users.
JobStatusPreparing - The run environment is being prepared.
JobStatusProvisioning - (Not used currently) It will be used if ES is creating the compute target.
JobStatusQueued - The job is queued in the compute target.
JobStatusRunning - The job started to run in the compute target.
JobStatusStarting - Run has started.
JobStatusUnknown - Default job status if not mapped to all other statuses.
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LearningRateSchedulerNone - No learning rate scheduler selected.
LearningRateSchedulerStep - Step learning rate scheduler.
LearningRateSchedulerWarmupCosine - Cosine Annealing With Warmup.
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LogVerbosityCritical - Only critical statements logged.
LogVerbosityDebug - Debug and above log statements logged.
LogVerbosityError - Error and above log statements logged.
LogVerbosityInfo - Info and above log statements logged.
LogVerbosityNotSet - No logs emitted.
LogVerbosityWarning - Warning and above log statements logged.
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ModelSizeExtraLarge - Extra large size.
ModelSizeLarge - Large size.
ModelSizeMedium - Medium size.
ModelSizeNone - No value selected.
ModelSizeSmall - Small size.
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NCrossValidationsModeAuto - Determine N-Cross validations value automatically.
NCrossValidationsModeCustom - Use custom N-Cross validations value.
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ObjectDetectionPrimaryMetricsMeanAveragePrecision - Mean Average Precision (MAP) is the average of AP (Average Precision).
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RecurrenceFrequencyDay - Day frequency.
RecurrenceFrequencyHour - Hour frequency.
RecurrenceFrequencyMinute - Minute frequency.
RecurrenceFrequencyMonth - Month frequency.
RecurrenceFrequencyWeek - Week frequency.
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RegressionModelsDecisionTree - Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks.
RegressionModelsElasticNet - Elastic net is a popular type of regularized linear regression that combines two popular penalties, specifically the L1 and L2 penalty functions.
RegressionModelsExtremeRandomTrees - Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees.
RegressionModelsGradientBoosting - The technique of transiting week learners into a strong learner is called Boosting.
RegressionModelsKNN - K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints which further means that the new data point will be assigned a value based on how closely it matches the points in the training set.
RegressionModelsLassoLars - Lasso model fit with Least Angle Regression a.k.a.
RegressionModelsLightGBM - LightGBM is a gradient boosting framework that uses tree based learning algorithms.
RegressionModelsRandomForest - Random forest is a supervised learning algorithm.
RegressionModelsSGD - SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs.
RegressionModelsXGBoostRegressor - XGBoostRegressor: Extreme Gradient Boosting Regressor is a supervised machine learning model using ensemble of base learners.
RegressionPrimaryMetricsNormalizedMeanAbsoluteError - The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.
RegressionPrimaryMetricsNormalizedRootMeanSquaredError - The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales.
RegressionPrimaryMetricsR2Score - The R2 score is one of the performance evaluation measures for forecasting-based machine learning models.
RegressionPrimaryMetricsSpearmanCorrelation - The Spearman's rank coefficient of correlation is a nonparametric measure of rank correlation.
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SeasonalityModeAuto - Seasonality to be determined automatically.
SeasonalityModeCustom - Use the custom seasonality value.
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ServiceDataAccessAuthIdentityNone - Do not use any identity for service data access.
ServiceDataAccessAuthIdentityWorkspaceSystemAssignedIdentity - Use the system assigned managed identity of the Workspace to authenticate service data access.
ServiceDataAccessAuthIdentityWorkspaceUserAssignedIdentity - Use the user assigned managed identity of the Workspace to authenticate service data access.
ShortSeriesHandlingConfigurationAuto - Short series will be padded if there are no long series, otherwise short series will be dropped.
ShortSeriesHandlingConfigurationDrop - All the short series will be dropped.
ShortSeriesHandlingConfigurationNone - Represents no/null value.
ShortSeriesHandlingConfigurationPad - All the short series will be padded.
SKUScaleTypeAutomatic - Automatically scales node count.
SKUScaleTypeManual - Node count scaled upon user request.
SKUScaleTypeNone - Fixed set of nodes.
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StackMetaLearnerTypeElasticNet - Default meta-learners are LogisticRegression for regression task.
StackMetaLearnerTypeElasticNetCV - Default meta-learners are LogisticRegression for regression task when CV is on.
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StackMetaLearnerTypeLogisticRegression - Default meta-learners are LogisticRegression for classification tasks.
StackMetaLearnerTypeLogisticRegressionCV - Default meta-learners are LogisticRegression for classification task when CV is on.
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StochasticOptimizerAdam - Adam is algorithm the optimizes stochastic objective functions based on adaptive estimates of moments.
StochasticOptimizerAdamw - AdamW is a variant of the optimizer Adam that has an improved implementation of weight decay.
StochasticOptimizerNone - No optimizer selected.
StochasticOptimizerSgd - Stochastic Gradient Descent optimizer.
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TargetAggregationFunctionNone - Represent no value set.
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TargetLagsModeAuto - Target lags to be determined automatically.
TargetLagsModeCustom - Use the custom target lags.
TargetRollingWindowSizeModeAuto - Determine rolling windows size automatically.
TargetRollingWindowSizeModeCustom - Use the specified rolling window size.
TaskTypeClassification - Classification in machine learning and statistics is a supervised learning approach in which the computer program learns from the data given to it and make new observations or classifications.
TaskTypeForecasting - Forecasting is a special kind of regression task that deals with time-series data and creates forecasting model that can be used to predict the near future values based on the inputs.
TaskTypeImageClassification - Image Classification.
TaskTypeImageClassificationMultilabel - Image Classification Multilabel.
TaskTypeImageInstanceSegmentation - Image Instance Segmentation.
TaskTypeImageObjectDetection - Image Object Detection.
TaskTypeRegression - Regression means to predict the value using the input data.
TaskTypeTextClassification - Text classification (also known as text tagging or text categorization) is the process of sorting texts into categories.
TaskTypeTextClassificationMultilabel - Multilabel classification task assigns each sample to a group (zero or more) of target labels.
TaskTypeTextNER - Text Named Entity Recognition a.k.a.
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UseStlNone - No stl decomposition.
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ValidationMetricTypeCoco - Coco metric.
ValidationMetricTypeCocoVoc - CocoVoc metric.
ValidationMetricTypeNone - No metric.
ValidationMetricTypeVoc - Voc metric.
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WeekDayFriday - Friday weekday.
WeekDayMonday - Monday weekday.
WeekDaySaturday - Saturday weekday.
WeekDaySunday - Sunday weekday.
WeekDayThursday - Thursday weekday.
WeekDayTuesday - Tuesday weekday.
WeekDayWednesday - Wednesday weekday.

# Structs

AccountKeyDatastoreCredentials - Account key datastore credentials configuration.
AccountKeyDatastoreSecrets - Datastore account key secrets.
AKS - A Machine Learning compute based on AKS.
AksComputeSecrets - Secrets related to a Machine Learning compute based on AKS.
AksComputeSecretsProperties - Properties of AksComputeSecrets.
AksNetworkingConfiguration - Advance configuration for AKS networking.
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AKSSchemaProperties - AKS properties.
AmlCompute - An Azure Machine Learning compute.
AmlComputeNodeInformation - Compute node information related to a AmlCompute.
AmlComputeNodesInformation - Result of AmlCompute Nodes.
AmlComputeProperties - AML Compute properties.
AmlComputeSchema - Properties(top level) of AmlCompute.
AmlOperation - Azure Machine Learning workspace REST API operation.
AmlOperationDisplay - Display name of operation.
AmlOperationListResult - An array of operations supported by the resource provider.
AmlToken - AML Token identity configuration.
AmlUserFeature - Features enabled for a workspace.
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AssetJobInput - Asset input type.
AssetJobOutput - Asset output type.
AssetReferenceBase - Base definition for asset references.
AssignedUser - A user that can be assigned to a compute instance.
AutoForecastHorizon - Forecast horizon determined automatically by system.
AutoMLJob class.
AutoMLVertical - AutoML vertical class.
AutoNCrossValidations - N-Cross validations determined automatically.
AutoPauseProperties - Auto pause properties.
AutoScaleProperties - Auto scale properties.
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AutoTargetRollingWindowSize - Target lags rolling window determined automatically.
AzureBlobDatastore - Azure Blob datastore configuration.
AzureDataLakeGen1Datastore - Azure Data Lake Gen1 datastore configuration.
AzureDataLakeGen2Datastore - Azure Data Lake Gen2 datastore configuration.
AzureFileDatastore - Azure File datastore configuration.
BanditPolicy - Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.
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BatchDeploymentProperties - Batch inference settings per deployment.
BatchDeploymentsClient contains the methods for the BatchDeployments group.
BatchDeploymentsClientBeginCreateOrUpdateOptions contains the optional parameters for the BatchDeploymentsClient.BeginCreateOrUpdate method.
BatchDeploymentsClientBeginDeleteOptions contains the optional parameters for the BatchDeploymentsClient.BeginDelete method.
BatchDeploymentsClientBeginUpdateOptions contains the optional parameters for the BatchDeploymentsClient.BeginUpdate method.
BatchDeploymentsClientCreateOrUpdateResponse contains the response from method BatchDeploymentsClient.BeginCreateOrUpdate.
BatchDeploymentsClientDeleteResponse contains the response from method BatchDeploymentsClient.BeginDelete.
BatchDeploymentsClientGetOptions contains the optional parameters for the BatchDeploymentsClient.Get method.
BatchDeploymentsClientGetResponse contains the response from method BatchDeploymentsClient.Get.
BatchDeploymentsClientListOptions contains the optional parameters for the BatchDeploymentsClient.NewListPager method.
BatchDeploymentsClientListResponse contains the response from method BatchDeploymentsClient.NewListPager.
BatchDeploymentsClientUpdateResponse contains the response from method BatchDeploymentsClient.BeginUpdate.
BatchDeploymentTrackedResourceArmPaginatedResult - A paginated list of BatchDeployment entities.
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BatchEndpointDefaults - Batch endpoint default values.
BatchEndpointProperties - Batch endpoint configuration.
BatchEndpointsClient contains the methods for the BatchEndpoints group.
BatchEndpointsClientBeginCreateOrUpdateOptions contains the optional parameters for the BatchEndpointsClient.BeginCreateOrUpdate method.
BatchEndpointsClientBeginDeleteOptions contains the optional parameters for the BatchEndpointsClient.BeginDelete method.
BatchEndpointsClientBeginUpdateOptions contains the optional parameters for the BatchEndpointsClient.BeginUpdate method.
BatchEndpointsClientCreateOrUpdateResponse contains the response from method BatchEndpointsClient.BeginCreateOrUpdate.
BatchEndpointsClientDeleteResponse contains the response from method BatchEndpointsClient.BeginDelete.
BatchEndpointsClientGetOptions contains the optional parameters for the BatchEndpointsClient.Get method.
BatchEndpointsClientGetResponse contains the response from method BatchEndpointsClient.Get.
BatchEndpointsClientListKeysOptions contains the optional parameters for the BatchEndpointsClient.ListKeys method.
BatchEndpointsClientListKeysResponse contains the response from method BatchEndpointsClient.ListKeys.
BatchEndpointsClientListOptions contains the optional parameters for the BatchEndpointsClient.NewListPager method.
BatchEndpointsClientListResponse contains the response from method BatchEndpointsClient.NewListPager.
BatchEndpointsClientUpdateResponse contains the response from method BatchEndpointsClient.BeginUpdate.
BatchEndpointTrackedResourceArmPaginatedResult - A paginated list of BatchEndpoint entities.
BatchRetrySettings - Retry settings for a batch inference operation.
BayesianSamplingAlgorithm - Defines a Sampling Algorithm that generates values based on previous values.
BuildContext - Configuration settings for Docker build context.
CertificateDatastoreCredentials - Certificate datastore credentials configuration.
CertificateDatastoreSecrets - Datastore certificate secrets.
Classification task in AutoML Table vertical.
ClassificationTrainingSettings - Classification Training related configuration.
ClientFactory is a client factory used to create any client in this module.
ClusterUpdateParameters - AmlCompute update parameters.
ClusterUpdateProperties - The properties of a amlCompute that need to be updated.
CodeConfiguration - Configuration for a scoring code asset.
CodeContainer - Azure Resource Manager resource envelope.
CodeContainerProperties - Container for code asset versions.
CodeContainerResourceArmPaginatedResult - A paginated list of CodeContainer entities.
CodeContainersClient contains the methods for the CodeContainers group.
CodeContainersClientCreateOrUpdateOptions contains the optional parameters for the CodeContainersClient.CreateOrUpdate method.
CodeContainersClientCreateOrUpdateResponse contains the response from method CodeContainersClient.CreateOrUpdate.
CodeContainersClientDeleteOptions contains the optional parameters for the CodeContainersClient.Delete method.
CodeContainersClientDeleteResponse contains the response from method CodeContainersClient.Delete.
CodeContainersClientGetOptions contains the optional parameters for the CodeContainersClient.Get method.
CodeContainersClientGetResponse contains the response from method CodeContainersClient.Get.
CodeContainersClientListOptions contains the optional parameters for the CodeContainersClient.NewListPager method.
CodeContainersClientListResponse contains the response from method CodeContainersClient.NewListPager.
CodeVersion - Azure Resource Manager resource envelope.
CodeVersionProperties - Code asset version details.
CodeVersionResourceArmPaginatedResult - A paginated list of CodeVersion entities.
CodeVersionsClient contains the methods for the CodeVersions group.
CodeVersionsClientCreateOrUpdateOptions contains the optional parameters for the CodeVersionsClient.CreateOrUpdate method.
CodeVersionsClientCreateOrUpdateResponse contains the response from method CodeVersionsClient.CreateOrUpdate.
CodeVersionsClientDeleteOptions contains the optional parameters for the CodeVersionsClient.Delete method.
CodeVersionsClientDeleteResponse contains the response from method CodeVersionsClient.Delete.
CodeVersionsClientGetOptions contains the optional parameters for the CodeVersionsClient.Get method.
CodeVersionsClientGetResponse contains the response from method CodeVersionsClient.Get.
CodeVersionsClientListOptions contains the optional parameters for the CodeVersionsClient.NewListPager method.
CodeVersionsClientListResponse contains the response from method CodeVersionsClient.NewListPager.
ColumnTransformer - Column transformer parameters.
CommandJob - Command job definition.
CommandJobLimits - Command Job limit class.
ComponentContainer - Azure Resource Manager resource envelope.
ComponentContainerProperties - Component container definition.
ComponentContainerResourceArmPaginatedResult - A paginated list of ComponentContainer entities.
ComponentContainersClient contains the methods for the ComponentContainers group.
ComponentContainersClientCreateOrUpdateOptions contains the optional parameters for the ComponentContainersClient.CreateOrUpdate method.
ComponentContainersClientCreateOrUpdateResponse contains the response from method ComponentContainersClient.CreateOrUpdate.
ComponentContainersClientDeleteOptions contains the optional parameters for the ComponentContainersClient.Delete method.
ComponentContainersClientDeleteResponse contains the response from method ComponentContainersClient.Delete.
ComponentContainersClientGetOptions contains the optional parameters for the ComponentContainersClient.Get method.
ComponentContainersClientGetResponse contains the response from method ComponentContainersClient.Get.
ComponentContainersClientListOptions contains the optional parameters for the ComponentContainersClient.NewListPager method.
ComponentContainersClientListResponse contains the response from method ComponentContainersClient.NewListPager.
ComponentVersion - Azure Resource Manager resource envelope.
ComponentVersionProperties - Definition of a component version: defines resources that span component types.
ComponentVersionResourceArmPaginatedResult - A paginated list of ComponentVersion entities.
ComponentVersionsClient contains the methods for the ComponentVersions group.
ComponentVersionsClientCreateOrUpdateOptions contains the optional parameters for the ComponentVersionsClient.CreateOrUpdate method.
ComponentVersionsClientCreateOrUpdateResponse contains the response from method ComponentVersionsClient.CreateOrUpdate.
ComponentVersionsClientDeleteOptions contains the optional parameters for the ComponentVersionsClient.Delete method.
ComponentVersionsClientDeleteResponse contains the response from method ComponentVersionsClient.Delete.
ComponentVersionsClientGetOptions contains the optional parameters for the ComponentVersionsClient.Get method.
ComponentVersionsClientGetResponse contains the response from method ComponentVersionsClient.Get.
ComponentVersionsClientListOptions contains the optional parameters for the ComponentVersionsClient.NewListPager method.
ComponentVersionsClientListResponse contains the response from method ComponentVersionsClient.NewListPager.
Compute - Machine Learning compute object.
ComputeClient contains the methods for the Compute group.
ComputeClientBeginCreateOrUpdateOptions contains the optional parameters for the ComputeClient.BeginCreateOrUpdate method.
ComputeClientBeginDeleteOptions contains the optional parameters for the ComputeClient.BeginDelete method.
ComputeClientBeginRestartOptions contains the optional parameters for the ComputeClient.BeginRestart method.
ComputeClientBeginStartOptions contains the optional parameters for the ComputeClient.BeginStart method.
ComputeClientBeginStopOptions contains the optional parameters for the ComputeClient.BeginStop method.
ComputeClientBeginUpdateOptions contains the optional parameters for the ComputeClient.BeginUpdate method.
ComputeClientCreateOrUpdateResponse contains the response from method ComputeClient.BeginCreateOrUpdate.
ComputeClientDeleteResponse contains the response from method ComputeClient.BeginDelete.
ComputeClientGetOptions contains the optional parameters for the ComputeClient.Get method.
ComputeClientGetResponse contains the response from method ComputeClient.Get.
ComputeClientListKeysOptions contains the optional parameters for the ComputeClient.ListKeys method.
ComputeClientListKeysResponse contains the response from method ComputeClient.ListKeys.
ComputeClientListNodesOptions contains the optional parameters for the ComputeClient.NewListNodesPager method.
ComputeClientListNodesResponse contains the response from method ComputeClient.NewListNodesPager.
ComputeClientListOptions contains the optional parameters for the ComputeClient.NewListPager method.
ComputeClientListResponse contains the response from method ComputeClient.NewListPager.
ComputeClientRestartResponse contains the response from method ComputeClient.BeginRestart.
ComputeClientStartResponse contains the response from method ComputeClient.BeginStart.
ComputeClientStopResponse contains the response from method ComputeClient.BeginStop.
ComputeClientUpdateResponse contains the response from method ComputeClient.BeginUpdate.
ComputeInstance - An Azure Machine Learning compute instance.
ComputeInstanceApplication - Defines an Aml Instance application and its connectivity endpoint URI.
ComputeInstanceConnectivityEndpoints - Defines all connectivity endpoints and properties for an ComputeInstance.
ComputeInstanceContainer - Defines an Aml Instance container.
ComputeInstanceCreatedBy - Describes information on user who created this ComputeInstance.
ComputeInstanceDataDisk - Defines an Aml Instance DataDisk.
ComputeInstanceDataMount - Defines an Aml Instance DataMount.
ComputeInstanceEnvironmentInfo - Environment information.
ComputeInstanceLastOperation - The last operation on ComputeInstance.
ComputeInstanceProperties - Compute Instance properties.
ComputeInstanceSchema - Properties(top level) of ComputeInstance.
ComputeInstanceSSHSettings - Specifies policy and settings for SSH access.
ComputeInstanceVersion - Version of computeInstance.
ComputeResource - Machine Learning compute object wrapped into ARM resource envelope.
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ComputeSchedules - The list of schedules to be applied on the computes.
ComputeSecrets - Secrets related to a Machine Learning compute.
ComputeStartStopSchedule - Compute start stop schedule properties.
ContainerResourceRequirements - Resource requirements for each container instance within an online deployment.
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CustomForecastHorizon - The desired maximum forecast horizon in units of time-series frequency.
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CustomNCrossValidations - N-Cross validations are specified by user.
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Databricks - A DataFactory compute.
DatabricksComputeSecrets - Secrets related to a Machine Learning compute based on Databricks.
DatabricksComputeSecretsProperties - Properties of Databricks Compute Secrets.
DatabricksProperties - Properties of Databricks.
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DataContainer - Azure Resource Manager resource envelope.
DataContainerProperties - Container for data asset versions.
DataContainerResourceArmPaginatedResult - A paginated list of DataContainer entities.
DataContainersClient contains the methods for the DataContainers group.
DataContainersClientCreateOrUpdateOptions contains the optional parameters for the DataContainersClient.CreateOrUpdate method.
DataContainersClientCreateOrUpdateResponse contains the response from method DataContainersClient.CreateOrUpdate.
DataContainersClientDeleteOptions contains the optional parameters for the DataContainersClient.Delete method.
DataContainersClientDeleteResponse contains the response from method DataContainersClient.Delete.
DataContainersClientGetOptions contains the optional parameters for the DataContainersClient.Get method.
DataContainersClientGetResponse contains the response from method DataContainersClient.Get.
DataContainersClientListOptions contains the optional parameters for the DataContainersClient.NewListPager method.
DataContainersClientListResponse contains the response from method DataContainersClient.NewListPager.
DataFactory - A DataFactory compute.
DataLakeAnalytics - A DataLakeAnalytics compute.
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DataPathAssetReference - Reference to an asset via its path in a datastore.
Datastore - Azure Resource Manager resource envelope.
DatastoreCredentials - Base definition for datastore credentials.
DatastoreProperties - Base definition for datastore contents configuration.
DatastoreResourceArmPaginatedResult - A paginated list of Datastore entities.
DatastoresClient contains the methods for the Datastores group.
DatastoresClientCreateOrUpdateOptions contains the optional parameters for the DatastoresClient.CreateOrUpdate method.
DatastoresClientCreateOrUpdateResponse contains the response from method DatastoresClient.CreateOrUpdate.
DatastoresClientDeleteOptions contains the optional parameters for the DatastoresClient.Delete method.
DatastoresClientDeleteResponse contains the response from method DatastoresClient.Delete.
DatastoresClientGetOptions contains the optional parameters for the DatastoresClient.Get method.
DatastoresClientGetResponse contains the response from method DatastoresClient.Get.
DatastoresClientListOptions contains the optional parameters for the DatastoresClient.NewListPager method.
DatastoresClientListResponse contains the response from method DatastoresClient.NewListPager.
DatastoresClientListSecretsOptions contains the optional parameters for the DatastoresClient.ListSecrets method.
DatastoresClientListSecretsResponse contains the response from method DatastoresClient.ListSecrets.
DatastoreSecrets - Base definition for datastore secrets.
DataVersionBase - Azure Resource Manager resource envelope.
DataVersionBaseProperties - Data version base definition.
DataVersionBaseResourceArmPaginatedResult - A paginated list of DataVersionBase entities.
DataVersionsClient contains the methods for the DataVersions group.
DataVersionsClientCreateOrUpdateOptions contains the optional parameters for the DataVersionsClient.CreateOrUpdate method.
DataVersionsClientCreateOrUpdateResponse contains the response from method DataVersionsClient.CreateOrUpdate.
DataVersionsClientDeleteOptions contains the optional parameters for the DataVersionsClient.Delete method.
DataVersionsClientDeleteResponse contains the response from method DataVersionsClient.Delete.
DataVersionsClientGetOptions contains the optional parameters for the DataVersionsClient.Get method.
DataVersionsClientGetResponse contains the response from method DataVersionsClient.Get.
DataVersionsClientListOptions contains the optional parameters for the DataVersionsClient.NewListPager method.
DataVersionsClientListResponse contains the response from method DataVersionsClient.NewListPager.
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DiagnoseResult - Result of Diagnose.
DiagnoseWorkspaceParameters - Parameters to diagnose a workspace.
DistributionConfiguration - Base definition for job distribution configuration.
EarlyTerminationPolicy - Early termination policies enable canceling poor-performing runs before they complete.
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EndpointAuthKeys - Keys for endpoint authentication.
EndpointAuthToken - Service Token.
EndpointDeploymentPropertiesBase - Base definition for endpoint deployment.
EndpointPropertiesBase - Inference Endpoint base definition.
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EnvironmentContainer - Azure Resource Manager resource envelope.
EnvironmentContainerProperties - Container for environment specification versions.
EnvironmentContainerResourceArmPaginatedResult - A paginated list of EnvironmentContainer entities.
EnvironmentContainersClient contains the methods for the EnvironmentContainers group.
EnvironmentContainersClientCreateOrUpdateOptions contains the optional parameters for the EnvironmentContainersClient.CreateOrUpdate method.
EnvironmentContainersClientCreateOrUpdateResponse contains the response from method EnvironmentContainersClient.CreateOrUpdate.
EnvironmentContainersClientDeleteOptions contains the optional parameters for the EnvironmentContainersClient.Delete method.
EnvironmentContainersClientDeleteResponse contains the response from method EnvironmentContainersClient.Delete.
EnvironmentContainersClientGetOptions contains the optional parameters for the EnvironmentContainersClient.Get method.
EnvironmentContainersClientGetResponse contains the response from method EnvironmentContainersClient.Get.
EnvironmentContainersClientListOptions contains the optional parameters for the EnvironmentContainersClient.NewListPager method.
EnvironmentContainersClientListResponse contains the response from method EnvironmentContainersClient.NewListPager.
EnvironmentVersion - Azure Resource Manager resource envelope.
EnvironmentVersionProperties - Environment version details.
EnvironmentVersionResourceArmPaginatedResult - A paginated list of EnvironmentVersion entities.
EnvironmentVersionsClient contains the methods for the EnvironmentVersions group.
EnvironmentVersionsClientCreateOrUpdateOptions contains the optional parameters for the EnvironmentVersionsClient.CreateOrUpdate method.
EnvironmentVersionsClientCreateOrUpdateResponse contains the response from method EnvironmentVersionsClient.CreateOrUpdate.
EnvironmentVersionsClientDeleteOptions contains the optional parameters for the EnvironmentVersionsClient.Delete method.
EnvironmentVersionsClientDeleteResponse contains the response from method EnvironmentVersionsClient.Delete.
EnvironmentVersionsClientGetOptions contains the optional parameters for the EnvironmentVersionsClient.Get method.
EnvironmentVersionsClientGetResponse contains the response from method EnvironmentVersionsClient.Get.
EnvironmentVersionsClientListOptions contains the optional parameters for the EnvironmentVersionsClient.NewListPager method.
EnvironmentVersionsClientListResponse contains the response from method EnvironmentVersionsClient.NewListPager.
ErrorAdditionalInfo - The resource management error additional info.
ErrorDetail - The error detail.
ErrorResponse - Common error response for all Azure Resource Manager APIs to return error details for failed operations.
EstimatedVMPrice - The estimated price info for using a VM of a particular OS type, tier, etc.
EstimatedVMPrices - The estimated price info for using a VM.
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FeaturizationSettings - Featurization Configuration.
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ForecastHorizon - The desired maximum forecast horizon in units of time-series frequency.
Forecasting task in AutoML Table vertical.
ForecastingSettings - Forecasting specific parameters.
ForecastingTrainingSettings - Forecasting Training related configuration.
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GridSamplingAlgorithm - Defines a Sampling Algorithm that exhaustively generates every value combination in the space.
HDInsight - A HDInsight compute.
HDInsightProperties - HDInsight compute properties.
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IDAssetReference - Reference to an asset via its ARM resource ID.
IdentityConfiguration - Base definition for identity configuration.
IdentityForCmk - Identity that will be used to access key vault for encryption at rest.
ImageClassification - Image Classification.
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ImageClassificationMultilabel - Image Classification Multilabel.
ImageInstanceSegmentation - Image Instance Segmentation.
ImageLimitSettings - Limit settings for the AutoML job.
ImageModelDistributionSettings - Distribution expressions to sweep over values of model settings.Some examples are:ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)";All distributions can be specified as distribution_name(min, max) or choice(val1, val2, …, valn) where distribution name can be: uniform, quniform, loguniform, etc For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
ImageModelDistributionSettingsClassification - Distribution expressions to sweep over values of model settings.Some examples are:ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)";For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
ImageModelDistributionSettingsObjectDetection - Distribution expressions to sweep over values of model settings.Some examples are:ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)";For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
ImageModelSettings - Settings used for training the model.
ImageModelSettingsClassification - Settings used for training the model.
ImageModelSettingsObjectDetection - Settings used for training the model.
ImageObjectDetection - Image Object Detection.
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ImageSweepSettings - Model sweeping and hyperparameter sweeping related settings.
ImageVertical - Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
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InstanceTypeSchema - Instance type schema.
InstanceTypeSchemaResources - Resource requests/limits for this instance type.
JobBase - Azure Resource Manager resource envelope.
JobBaseProperties - Base definition for a job.
JobBaseResourceArmPaginatedResult - A paginated list of JobBase entities.
JobInput - Command job definition.
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JobOutput - Job output definition container information on where to find job output/logs.
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JobsClient contains the methods for the Jobs group.
JobsClientBeginCancelOptions contains the optional parameters for the JobsClient.BeginCancel method.
JobsClientBeginDeleteOptions contains the optional parameters for the JobsClient.BeginDelete method.
JobsClientCancelResponse contains the response from method JobsClient.BeginCancel.
JobsClientCreateOrUpdateOptions contains the optional parameters for the JobsClient.CreateOrUpdate method.
JobsClientCreateOrUpdateResponse contains the response from method JobsClient.CreateOrUpdate.
JobsClientDeleteResponse contains the response from method JobsClient.BeginDelete.
JobsClientGetOptions contains the optional parameters for the JobsClient.Get method.
JobsClientGetResponse contains the response from method JobsClient.Get.
JobsClientListOptions contains the optional parameters for the JobsClient.NewListPager method.
JobsClientListResponse contains the response from method JobsClient.NewListPager.
JobService - Job endpoint definition.
Kubernetes - A Machine Learning compute based on Kubernetes Compute.
KubernetesOnlineDeployment - Properties specific to a KubernetesOnlineDeployment.
KubernetesProperties - Kubernetes properties.
KubernetesSchema - Kubernetes Compute Schema.
ListAmlUserFeatureResult - The List Aml user feature operation response.
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ListUsagesResult - The List Usages operation response.
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ListWorkspaceQuotas - The List WorkspaceQuotasByVMFamily operation response.
LiteralJobInput - Literal input type.
ManagedIdentity - Managed identity configuration.
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ManagedOnlineDeployment - Properties specific to a ManagedOnlineDeployment.
ManagedServiceIdentity - Managed service identity (system assigned and/or user assigned identities).
MedianStoppingPolicy - Defines an early termination policy based on running averages of the primary metric of all runs.
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MLTableData - MLTable data definition.
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ModelContainer - Azure Resource Manager resource envelope.
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ModelContainerResourceArmPaginatedResult - A paginated list of ModelContainer entities.
ModelContainersClient contains the methods for the ModelContainers group.
ModelContainersClientCreateOrUpdateOptions contains the optional parameters for the ModelContainersClient.CreateOrUpdate method.
ModelContainersClientCreateOrUpdateResponse contains the response from method ModelContainersClient.CreateOrUpdate.
ModelContainersClientDeleteOptions contains the optional parameters for the ModelContainersClient.Delete method.
ModelContainersClientDeleteResponse contains the response from method ModelContainersClient.Delete.
ModelContainersClientGetOptions contains the optional parameters for the ModelContainersClient.Get method.
ModelContainersClientGetResponse contains the response from method ModelContainersClient.Get.
ModelContainersClientListOptions contains the optional parameters for the ModelContainersClient.NewListPager method.
ModelContainersClientListResponse contains the response from method ModelContainersClient.NewListPager.
ModelVersion - Azure Resource Manager resource envelope.
ModelVersionProperties - Model asset version details.
ModelVersionResourceArmPaginatedResult - A paginated list of ModelVersion entities.
ModelVersionsClient contains the methods for the ModelVersions group.
ModelVersionsClientCreateOrUpdateOptions contains the optional parameters for the ModelVersionsClient.CreateOrUpdate method.
ModelVersionsClientCreateOrUpdateResponse contains the response from method ModelVersionsClient.CreateOrUpdate.
ModelVersionsClientDeleteOptions contains the optional parameters for the ModelVersionsClient.Delete method.
ModelVersionsClientDeleteResponse contains the response from method ModelVersionsClient.Delete.
ModelVersionsClientGetOptions contains the optional parameters for the ModelVersionsClient.Get method.
ModelVersionsClientGetResponse contains the response from method ModelVersionsClient.Get.
ModelVersionsClientListOptions contains the optional parameters for the ModelVersionsClient.NewListPager method.
ModelVersionsClientListResponse contains the response from method ModelVersionsClient.NewListPager.
Mpi - MPI distribution configuration.
NCrossValidations - N-Cross validations value.
NlpVertical - Abstract class for NLP related AutoML tasks.
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NlpVerticalLimitSettings - Job execution constraints.
NodeStateCounts - Counts of various compute node states on the amlCompute.
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NoneDatastoreCredentials - Empty/none datastore credentials.
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Objective - Optimization objective.
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OnlineDeploymentsClient contains the methods for the OnlineDeployments group.
OnlineDeploymentsClientBeginCreateOrUpdateOptions contains the optional parameters for the OnlineDeploymentsClient.BeginCreateOrUpdate method.
OnlineDeploymentsClientBeginDeleteOptions contains the optional parameters for the OnlineDeploymentsClient.BeginDelete method.
OnlineDeploymentsClientBeginUpdateOptions contains the optional parameters for the OnlineDeploymentsClient.BeginUpdate method.
OnlineDeploymentsClientCreateOrUpdateResponse contains the response from method OnlineDeploymentsClient.BeginCreateOrUpdate.
OnlineDeploymentsClientDeleteResponse contains the response from method OnlineDeploymentsClient.BeginDelete.
OnlineDeploymentsClientGetLogsOptions contains the optional parameters for the OnlineDeploymentsClient.GetLogs method.
OnlineDeploymentsClientGetLogsResponse contains the response from method OnlineDeploymentsClient.GetLogs.
OnlineDeploymentsClientGetOptions contains the optional parameters for the OnlineDeploymentsClient.Get method.
OnlineDeploymentsClientGetResponse contains the response from method OnlineDeploymentsClient.Get.
OnlineDeploymentsClientListOptions contains the optional parameters for the OnlineDeploymentsClient.NewListPager method.
OnlineDeploymentsClientListResponse contains the response from method OnlineDeploymentsClient.NewListPager.
OnlineDeploymentsClientListSKUsOptions contains the optional parameters for the OnlineDeploymentsClient.NewListSKUsPager method.
OnlineDeploymentsClientListSKUsResponse contains the response from method OnlineDeploymentsClient.NewListSKUsPager.
OnlineDeploymentsClientUpdateResponse contains the response from method OnlineDeploymentsClient.BeginUpdate.
OnlineDeploymentTrackedResourceArmPaginatedResult - A paginated list of OnlineDeployment entities.
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OnlineEndpointProperties - Online endpoint configuration.
OnlineEndpointsClient contains the methods for the OnlineEndpoints group.
OnlineEndpointsClientBeginCreateOrUpdateOptions contains the optional parameters for the OnlineEndpointsClient.BeginCreateOrUpdate method.
OnlineEndpointsClientBeginDeleteOptions contains the optional parameters for the OnlineEndpointsClient.BeginDelete method.
OnlineEndpointsClientBeginRegenerateKeysOptions contains the optional parameters for the OnlineEndpointsClient.BeginRegenerateKeys method.
OnlineEndpointsClientBeginUpdateOptions contains the optional parameters for the OnlineEndpointsClient.BeginUpdate method.
OnlineEndpointsClientCreateOrUpdateResponse contains the response from method OnlineEndpointsClient.BeginCreateOrUpdate.
OnlineEndpointsClientDeleteResponse contains the response from method OnlineEndpointsClient.BeginDelete.
OnlineEndpointsClientGetOptions contains the optional parameters for the OnlineEndpointsClient.Get method.
OnlineEndpointsClientGetResponse contains the response from method OnlineEndpointsClient.Get.
OnlineEndpointsClientGetTokenOptions contains the optional parameters for the OnlineEndpointsClient.GetToken method.
OnlineEndpointsClientGetTokenResponse contains the response from method OnlineEndpointsClient.GetToken.
OnlineEndpointsClientListKeysOptions contains the optional parameters for the OnlineEndpointsClient.ListKeys method.
OnlineEndpointsClientListKeysResponse contains the response from method OnlineEndpointsClient.ListKeys.
OnlineEndpointsClientListOptions contains the optional parameters for the OnlineEndpointsClient.NewListPager method.
OnlineEndpointsClientListResponse contains the response from method OnlineEndpointsClient.NewListPager.
OnlineEndpointsClientRegenerateKeysResponse contains the response from method OnlineEndpointsClient.BeginRegenerateKeys.
OnlineEndpointsClientUpdateResponse contains the response from method OnlineEndpointsClient.BeginUpdate.
OnlineEndpointTrackedResourceArmPaginatedResult - A paginated list of OnlineEndpoint entities.
OnlineRequestSettings - Online deployment scoring requests configuration.
OnlineScaleSettings - Online deployment scaling configuration.
OperationsClient contains the methods for the Operations group.
OperationsClientListOptions contains the optional parameters for the OperationsClient.NewListPager method.
OperationsClientListResponse contains the response from method OperationsClient.NewListPager.
OutputPathAssetReference - Reference to an asset via its path in a job output.
PaginatedComputeResourcesList - Paginated list of Machine Learning compute objects wrapped in ARM resource envelope.
PartialBatchDeployment - Mutable batch inference settings per deployment.
PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties - Strictly used in update requests.
PartialManagedServiceIdentity - Managed service identity (system assigned and/or user assigned identities).
PartialMinimalTrackedResource - Strictly used in update requests.
PartialMinimalTrackedResourceWithIdentity - Strictly used in update requests.
PartialMinimalTrackedResourceWithSKU - Strictly used in update requests.
PartialSKU - Common SKU definition.
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PersonalComputeInstanceSettings - Settings for a personal compute instance.
PipelineJob - Pipeline Job definition: defines generic to MFE attributes.
PrivateEndpoint - The Private Endpoint resource.
PrivateEndpointConnection - The Private Endpoint Connection resource.
PrivateEndpointConnectionListResult - List of private endpoint connection associated with the specified workspace.
PrivateEndpointConnectionProperties - Properties of the PrivateEndpointConnectProperties.
PrivateEndpointConnectionsClient contains the methods for the PrivateEndpointConnections group.
PrivateEndpointConnectionsClientCreateOrUpdateOptions contains the optional parameters for the PrivateEndpointConnectionsClient.CreateOrUpdate method.
PrivateEndpointConnectionsClientCreateOrUpdateResponse contains the response from method PrivateEndpointConnectionsClient.CreateOrUpdate.
PrivateEndpointConnectionsClientDeleteOptions contains the optional parameters for the PrivateEndpointConnectionsClient.Delete method.
PrivateEndpointConnectionsClientDeleteResponse contains the response from method PrivateEndpointConnectionsClient.Delete.
PrivateEndpointConnectionsClientGetOptions contains the optional parameters for the PrivateEndpointConnectionsClient.Get method.
PrivateEndpointConnectionsClientGetResponse contains the response from method PrivateEndpointConnectionsClient.Get.
PrivateEndpointConnectionsClientListOptions contains the optional parameters for the PrivateEndpointConnectionsClient.NewListPager method.
PrivateEndpointConnectionsClientListResponse contains the response from method PrivateEndpointConnectionsClient.NewListPager.
PrivateLinkResource - A private link resource.
PrivateLinkResourceListResult - A list of private link resources.
PrivateLinkResourceProperties - Properties of a private link resource.
PrivateLinkResourcesClient contains the methods for the PrivateLinkResources group.
PrivateLinkResourcesClientListOptions contains the optional parameters for the PrivateLinkResourcesClient.List method.
PrivateLinkResourcesClientListResponse contains the response from method PrivateLinkResourcesClient.List.
PrivateLinkServiceConnectionState - A collection of information about the state of the connection between service consumer and provider.
ProbeSettings - Deployment container liveness/readiness probe configuration.
PyTorch distribution configuration.
QuotaBaseProperties - The properties for Quota update or retrieval.
QuotasClient contains the methods for the Quotas group.
QuotasClientListOptions contains the optional parameters for the QuotasClient.NewListPager method.
QuotasClientListResponse contains the response from method QuotasClient.NewListPager.
QuotasClientUpdateOptions contains the optional parameters for the QuotasClient.Update method.
QuotasClientUpdateResponse contains the response from method QuotasClient.Update.
QuotaUpdateParameters - Quota update parameters.
RandomSamplingAlgorithm - Defines a Sampling Algorithm that generates values randomly.
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Regression task in AutoML Table vertical.
RegressionTrainingSettings - Regression Training related configuration.
Resource - Common fields that are returned in the response for all Azure Resource Manager resources.
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ResourceID - Represents a resource ID.
ResourceName - The Resource Name.
ResourceQuota - The quota assigned to a resource.
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SamplingAlgorithm - The Sampling Algorithm used to generate hyperparameter values, along with properties to configure the algorithm.
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SasDatastoreCredentials - SAS datastore credentials configuration.
SasDatastoreSecrets - Datastore SAS secrets.
ScaleSettings - scale settings for AML Compute.
ScaleSettingsInformation - Desired scale settings for the amlCompute.
Schedule - Azure Resource Manager resource envelope.
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ScheduleProperties - Base definition of a schedule.
ScheduleResourceArmPaginatedResult - A paginated list of Schedule entities.
SchedulesClient contains the methods for the Schedules group.
SchedulesClientBeginCreateOrUpdateOptions contains the optional parameters for the SchedulesClient.BeginCreateOrUpdate method.
SchedulesClientBeginDeleteOptions contains the optional parameters for the SchedulesClient.BeginDelete method.
SchedulesClientCreateOrUpdateResponse contains the response from method SchedulesClient.BeginCreateOrUpdate.
SchedulesClientDeleteResponse contains the response from method SchedulesClient.BeginDelete.
SchedulesClientGetOptions contains the optional parameters for the SchedulesClient.Get method.
SchedulesClientGetResponse contains the response from method SchedulesClient.Get.
SchedulesClientListOptions contains the optional parameters for the SchedulesClient.NewListPager method.
SchedulesClientListResponse contains the response from method SchedulesClient.NewListPager.
ScriptReference - Script reference.
ScriptsToExecute - Customized setup scripts.
Seasonality - Forecasting seasonality.
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ServicePrincipalDatastoreCredentials - Service Principal datastore credentials configuration.
ServicePrincipalDatastoreSecrets - Datastore Service Principal secrets.
SetupScripts - Details of customized scripts to execute for setting up the cluster.
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SharedPrivateLinkResourceProperty - Properties of a shared private link resource.
SKU - The resource model definition representing SKU.
SKUCapacity - SKU capacity information.
SKUResource - Fulfills ARM Contract requirement to list all available SKUS for a resource.
SKUResourceArmPaginatedResult - A paginated list of SkuResource entities.
SKUSetting - SkuSetting fulfills the need for stripped down SKU info in ARM contract.
SSLConfiguration - The ssl configuration for scoring.
StackEnsembleSettings - Advances setting to customize StackEnsemble run.
SweepJob - Sweep job definition.
SweepJobLimits - Sweep Job limit class.
SynapseSpark - A SynapseSpark compute.
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SystemData - Metadata pertaining to creation and last modification of the resource.
SystemService - A system service running on a compute.
TableVertical - Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting.
TableVerticalFeaturizationSettings - Featurization Configuration.
TableVerticalLimitSettings - Job execution constraints.
TargetLags - The number of past periods to lag from the target column.
TargetRollingWindowSize - Forecasting target rolling window size.
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TensorFlow distribution configuration.
TextClassification - Text Classification task in AutoML NLP vertical.
TextClassificationMultilabel - Text Classification Multilabel task in AutoML NLP vertical.
TextNer - Text-NER task in AutoML NLP vertical.
TrackedResource - The resource model definition for an Azure Resource Manager tracked top level resource which has 'tags' and a 'location'.
TrainingSettings - Training related configuration.
TrialComponent - Trial component definition.
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TruncationSelectionPolicy - Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.
UpdateWorkspaceQuotas - The properties for update Quota response.
UpdateWorkspaceQuotasResult - The result of update workspace quota.
URIFileDataVersion - uri-file data version entity.
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URIFolderDataVersion - uri-folder data version entity.
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Usage - Describes AML Resource Usage.
UsageName - The Usage Names.
UsagesClient contains the methods for the Usages group.
UsagesClientListOptions contains the optional parameters for the UsagesClient.NewListPager method.
UsagesClientListResponse contains the response from method UsagesClient.NewListPager.
UserAccountCredentials - Settings for user account that gets created on each on the nodes of a compute.
UserAssignedIdentity - User assigned identity properties.
UserIdentity - User identity configuration.
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VirtualMachine - A Machine Learning compute based on Azure Virtual Machines.
VirtualMachineImage - Virtual Machine image for Windows AML Compute.
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VirtualMachineSecrets - Secrets related to a Machine Learning compute based on AKS.
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VirtualMachineSize - Describes the properties of a VM size.
VirtualMachineSizeListResult - The List Virtual Machine size operation response.
VirtualMachineSizesClient contains the methods for the VirtualMachineSizes group.
VirtualMachineSizesClientListOptions contains the optional parameters for the VirtualMachineSizesClient.List method.
VirtualMachineSizesClientListResponse contains the response from method VirtualMachineSizesClient.List.
VirtualMachineSSHCredentials - Admin credentials for virtual machine.
Workspace - An object that represents a machine learning workspace.
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WorkspaceConnectionsClient contains the methods for the WorkspaceConnections group.
WorkspaceConnectionsClientCreateOptions contains the optional parameters for the WorkspaceConnectionsClient.Create method.
WorkspaceConnectionsClientCreateResponse contains the response from method WorkspaceConnectionsClient.Create.
WorkspaceConnectionsClientDeleteOptions contains the optional parameters for the WorkspaceConnectionsClient.Delete method.
WorkspaceConnectionsClientDeleteResponse contains the response from method WorkspaceConnectionsClient.Delete.
WorkspaceConnectionsClientGetOptions contains the optional parameters for the WorkspaceConnectionsClient.Get method.
WorkspaceConnectionsClientGetResponse contains the response from method WorkspaceConnectionsClient.Get.
WorkspaceConnectionsClientListOptions contains the optional parameters for the WorkspaceConnectionsClient.NewListPager method.
WorkspaceConnectionsClientListResponse contains the response from method WorkspaceConnectionsClient.NewListPager.
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WorkspaceFeaturesClient contains the methods for the WorkspaceFeatures group.
WorkspaceFeaturesClientListOptions contains the optional parameters for the WorkspaceFeaturesClient.NewListPager method.
WorkspaceFeaturesClientListResponse contains the response from method WorkspaceFeaturesClient.NewListPager.
WorkspaceListResult - The result of a request to list machine learning workspaces.
WorkspaceProperties - The properties of a machine learning workspace.
WorkspacePropertiesUpdateParameters - The parameters for updating the properties of a machine learning workspace.
WorkspacesClient contains the methods for the Workspaces group.
WorkspacesClientBeginCreateOrUpdateOptions contains the optional parameters for the WorkspacesClient.BeginCreateOrUpdate method.
WorkspacesClientBeginDeleteOptions contains the optional parameters for the WorkspacesClient.BeginDelete method.
WorkspacesClientBeginDiagnoseOptions contains the optional parameters for the WorkspacesClient.BeginDiagnose method.
WorkspacesClientBeginPrepareNotebookOptions contains the optional parameters for the WorkspacesClient.BeginPrepareNotebook method.
WorkspacesClientBeginResyncKeysOptions contains the optional parameters for the WorkspacesClient.BeginResyncKeys method.
WorkspacesClientBeginUpdateOptions contains the optional parameters for the WorkspacesClient.BeginUpdate method.
WorkspacesClientCreateOrUpdateResponse contains the response from method WorkspacesClient.BeginCreateOrUpdate.
WorkspacesClientDeleteResponse contains the response from method WorkspacesClient.BeginDelete.
WorkspacesClientDiagnoseResponse contains the response from method WorkspacesClient.BeginDiagnose.
WorkspacesClientGetOptions contains the optional parameters for the WorkspacesClient.Get method.
WorkspacesClientGetResponse contains the response from method WorkspacesClient.Get.
WorkspacesClientListByResourceGroupOptions contains the optional parameters for the WorkspacesClient.NewListByResourceGroupPager method.
WorkspacesClientListByResourceGroupResponse contains the response from method WorkspacesClient.NewListByResourceGroupPager.
WorkspacesClientListBySubscriptionOptions contains the optional parameters for the WorkspacesClient.NewListBySubscriptionPager method.
WorkspacesClientListBySubscriptionResponse contains the response from method WorkspacesClient.NewListBySubscriptionPager.
WorkspacesClientListKeysOptions contains the optional parameters for the WorkspacesClient.ListKeys method.
WorkspacesClientListKeysResponse contains the response from method WorkspacesClient.ListKeys.
WorkspacesClientListNotebookAccessTokenOptions contains the optional parameters for the WorkspacesClient.ListNotebookAccessToken method.
WorkspacesClientListNotebookAccessTokenResponse contains the response from method WorkspacesClient.ListNotebookAccessToken.
WorkspacesClientListNotebookKeysOptions contains the optional parameters for the WorkspacesClient.ListNotebookKeys method.
WorkspacesClientListNotebookKeysResponse contains the response from method WorkspacesClient.ListNotebookKeys.
WorkspacesClientListOutboundNetworkDependenciesEndpointsOptions contains the optional parameters for the WorkspacesClient.ListOutboundNetworkDependenciesEndpoints method.
WorkspacesClientListOutboundNetworkDependenciesEndpointsResponse contains the response from method WorkspacesClient.ListOutboundNetworkDependenciesEndpoints.
WorkspacesClientListStorageAccountKeysOptions contains the optional parameters for the WorkspacesClient.ListStorageAccountKeys method.
WorkspacesClientListStorageAccountKeysResponse contains the response from method WorkspacesClient.ListStorageAccountKeys.
WorkspacesClientPrepareNotebookResponse contains the response from method WorkspacesClient.BeginPrepareNotebook.
WorkspacesClientResyncKeysResponse contains the response from method WorkspacesClient.BeginResyncKeys.
WorkspacesClientUpdateResponse contains the response from method WorkspacesClient.BeginUpdate.
WorkspaceUpdateParameters - The parameters for updating a machine learning workspace.

# Interfaces

AssetReferenceBaseClassification provides polymorphic access to related types.
AutoMLVerticalClassification provides polymorphic access to related types.
ComputeClassification provides polymorphic access to related types.
ComputeSecretsClassification provides polymorphic access to related types.
DatastoreCredentialsClassification provides polymorphic access to related types.
DatastorePropertiesClassification provides polymorphic access to related types.
DatastoreSecretsClassification provides polymorphic access to related types.
DataVersionBasePropertiesClassification provides polymorphic access to related types.
DistributionConfigurationClassification provides polymorphic access to related types.
EarlyTerminationPolicyClassification provides polymorphic access to related types.
ForecastHorizonClassification provides polymorphic access to related types.
IdentityConfigurationClassification provides polymorphic access to related types.
JobBasePropertiesClassification provides polymorphic access to related types.
JobInputClassification provides polymorphic access to related types.
JobLimitsClassification provides polymorphic access to related types.
JobOutputClassification provides polymorphic access to related types.
NCrossValidationsClassification provides polymorphic access to related types.
OnlineDeploymentPropertiesClassification provides polymorphic access to related types.
OnlineScaleSettingsClassification provides polymorphic access to related types.
SamplingAlgorithmClassification provides polymorphic access to related types.
ScheduleActionBaseClassification provides polymorphic access to related types.
SeasonalityClassification provides polymorphic access to related types.
TargetLagsClassification provides polymorphic access to related types.
TargetRollingWindowSizeClassification provides polymorphic access to related types.
TriggerBaseClassification provides polymorphic access to related types.
WorkspaceConnectionPropertiesV2Classification provides polymorphic access to related types.

# Type aliases

AllocationState - Allocation state of the compute.
ApplicationSharingPolicy - Policy for sharing applications on this compute instance among users of parent workspace.
AutoRebuildSetting - AutoRebuild setting for the derived image.
Autosave - Auto save settings.
BatchLoggingLevel - Log verbosity for batch inferencing.
BatchOutputAction - Enum to determine how batch inferencing will handle output.
BillingCurrency - Three lettered code specifying the currency of the VM price.
BlockedTransformers - Enum for all classification models supported by AutoML.
Caching - Caching type of Data Disk.
ClassificationModels - Enum for all classification models supported by AutoML.
ClassificationMultilabelPrimaryMetrics - Primary metrics for classification multilabel tasks.
ClassificationPrimaryMetrics - Primary metrics for classification tasks.
ClusterPurpose - Intended usage of the cluster.
ComputeInstanceAuthorizationType - The Compute Instance Authorization type.
ComputeInstanceState - Current state of an ComputeInstance.
ComputePowerAction - The compute power action.
ComputeType - The type of compute.
ConnectionAuthType - Authentication type of the connection target.
ConnectionCategory - Category of the connection.
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CreatedByType - The type of identity that created the resource.
CredentialsType - Enum to determine the datastore credentials type.
DatastoreType - Enum to determine the datastore contents type.
DataType - Enum to determine the type of data.
DeploymentProvisioningState - Possible values for DeploymentProvisioningState.
DiagnoseResultLevel - Level of workspace setup error.
DistributionType - Enum to determine the job distribution type.
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EgressPublicNetworkAccessType - Enum to determine whether PublicNetworkAccess is Enabled or Disabled for egress of a deployment.
EncryptionStatus - Indicates whether or not the encryption is enabled for the workspace.
EndpointAuthMode - Enum to determine endpoint authentication mode.
EndpointComputeType - Enum to determine endpoint compute type.
EndpointProvisioningState - State of endpoint provisioning.
EnvironmentType - Environment type is either user created or curated by Azure ML service.
FeatureLags - Flag for generating lags for the numeric features.
FeaturizationMode - Featurization mode - determines data featurization mode.
ForecastHorizonMode - Enum to determine forecast horizon selection mode.
ForecastingModels - Enum for all forecasting models supported by AutoML.
ForecastingPrimaryMetrics - Primary metrics for Forecasting task.
Goal - Defines supported metric goals for hyperparameter tuning.
IdentityConfigurationType - Enum to determine identity framework.
InputDeliveryMode - Enum to determine the input data delivery mode.
InstanceSegmentationPrimaryMetrics - Primary metrics for InstanceSegmentation tasks.
JobInputType - Enum to determine the Job Input Type.
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JobOutputType - Enum to determine the Job Output Type.
JobStatus - The status of a job.
JobType - Enum to determine the type of job.
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LearningRateScheduler - Learning rate scheduler enum.
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LoadBalancerType - Load Balancer Type.
LogVerbosity - Enum for setting log verbosity.
ManagedServiceIdentityType - Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
ModelSize - Image model size.
MountAction - Mount Action.
MountState - Mount state.
NCrossValidationsMode - Determines how N-Cross validations value is determined.
Network - network of this container.
NodeState - State of the compute node.
ObjectDetectionPrimaryMetrics - Primary metrics for Image ObjectDetection task.
OperatingSystemType - The type of operating system.
OperationName - Name of the last operation.
OperationStatus - Operation status.
OperationTrigger - Trigger of operation.
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OsType - Compute OS Type.
OutputDeliveryMode - Output data delivery mode enums.
PrivateEndpointConnectionProvisioningState - The current provisioning state.
PrivateEndpointServiceConnectionStatus - The private endpoint connection status.
ProvisioningState - The current deployment state of workspace resource.
ProvisioningStatus - The current deployment state of schedule.
PublicNetworkAccess - Whether requests from Public Network are allowed.
PublicNetworkAccessType - Enum to determine whether PublicNetworkAccess is Enabled or Disabled.
QuotaUnit - An enum describing the unit of quota measurement.
RandomSamplingAlgorithmRule - The specific type of random algorithm.
RecurrenceFrequency - Enum to describe the frequency of a recurrence schedule.
ReferenceType - Enum to determine which reference method to use for an asset.
RegressionModels - Enum for all Regression models supported by AutoML.
RegressionPrimaryMetrics - Primary metrics for Regression task.
RemoteLoginPortPublicAccess - State of the public SSH port.
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ScheduleProvisioningState - The current deployment state of schedule.
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ScheduleStatus - Is the schedule enabled or disabled?.
SeasonalityMode - Forecasting seasonality mode.
SecretsType - Enum to determine the datastore secrets type.
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ShortSeriesHandlingConfiguration - The parameter defining how if AutoML should handle short time series.
SKUScaleType - Node scaling setting for the compute sku.
SKUTier - This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
SourceType - Data source type.
SSHPublicAccess - State of the public SSH port.
SSLConfigStatus - Enable or disable ssl for scoring.
StackMetaLearnerType - The meta-learner is a model trained on the output of the individual heterogeneous models.
Status - Status of update workspace quota.
StochasticOptimizer - Stochastic optimizer for image models.
StorageAccountType - type of this storage account.
TargetAggregationFunction - Target aggregate function.
TargetLagsMode - Target lags selection modes.
TargetRollingWindowSizeMode - Target rolling windows size mode.
TaskType - AutoMLJob Task type.
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UnitOfMeasure - The unit of time measurement for the specified VM price.
UsageUnit - An enum describing the unit of usage measurement.
UseStl - Configure STL Decomposition of the time-series target column.
ValidationMetricType - Metric computation method to use for validation metrics in image tasks.
ValueFormat - format for the workspace connection value.
VMPriceOSType - Operating system type used by the VM.
VMPriority - Virtual Machine priority.
VMTier - The type of the VM.
WeekDay - Enum of weekday.