constants Package

Reference

This package defines constants used in Azure Machine Learning SDKv2.

Classes

AssetTypes	AssetTypes is an enumeration of values for the asset types of a dataset. Asset types are used to identify the type of an asset. An asset can be a file, folder, mlflow model, triton model, mltable or custom model.
BatchDeploymentOutputAction
DataGenerationTaskType
DataGenerationType
DistributionType
ImportSourceType
InputOutputModes	InputOutputModes is an enumeration of values for the input/output modes of a dataset. Input/output modes are used to identify the type of an asset when it is created using the API.
InputTypes	InputTypes is an enumeration of values for the input types of a dataset. Input types are used to identify the type of an asset.
JobType
ModelType	ModelType is an enumeration of values for the model types. Model types are used to identify the type of a model when it is created using the API. Model types can be 'CustomModel', 'MLFlowModel' or 'TritonModel'.
ParallelTaskType
Scope	Scope is an enumeration of values for the scope of an asset. Scope can be 'subscription' or 'resource_group'.
WorkspaceKind	Enum of workspace categories.

Enums

AcrAccountSku	Azure Container Registry SKUs.
IPProtectionLevel	Note This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information. Intellectual property protection level.
ImageClassificationModelNames	Model names that are supported for Image Classification tasks.
ImageInstanceSegmentationModelNames	Model names that are supported for Image Instance Segmentation tasks.
ImageObjectDetectionModelNames	Model names that are supported for Image Object Detection tasks.
ListViewType	ListViewType.
ManagedServiceIdentityType	Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
MonitorDatasetContext	Note This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
MonitorFeatureType	Note This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
MonitorMetricName	Note This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
MonitorModelType	Note This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
MonitorSignalType	Note This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
MonitorTargetTasks
NlpLearningRateScheduler	Enum of learning rate schedulers that aligns with those supported by HF
NlpModels	Model names that are supported for NLP (Natural Language Processing) tasks.
StorageAccountType	Storage account types.
TabularTrainingMode	Note This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information. Mode to enable/disable distributed training.
TimeZone	Time zones that a job or compute instance schedule accepts.