az ml

Note

This reference is part of the azure-cli-ml extension for Azure CLI and requires version 2.0.28 or higher. The extension will automatically install the first time you run an az ml command. Learn more about extensions.

Azureml._cli commands.

Commands

az ml computetarget	Computetarget subgroup commands.
az ml computetarget amlcompute
az ml computetarget amlcompute identity	AzureML compute target identity commands.
az ml computetarget amlcompute identity assign	Assign identity to an AzureML compute target.
az ml computetarget amlcompute identity remove	Remove identity from an AzureML compute target.
az ml computetarget amlcompute identity show	Display identities of an AzureML compute target.
az ml computetarget attach	Attach subgroup commands.
az ml computetarget attach aks	Attach an AKS cluster to the workspace.
az ml computetarget attach remote	Attach a remote machine without Docker as a compute target to the workspace.
az ml computetarget computeinstance	AzureML compute instance commands.
az ml computetarget computeinstance restart	Restart a compute instance.
az ml computetarget computeinstance start	Start a compute instance.
az ml computetarget computeinstance stop	Stop a compute instance.
az ml computetarget create	Create a compute target (aks or amlcompute or computeinstance).
az ml computetarget create aks	Create an AKS compute target.
az ml computetarget create amlcompute	Create an AzureML compute target.
az ml computetarget create computeinstance	Create an AzureML compute instance target.
az ml computetarget create datafactory	Create a data factory compute target.
az ml computetarget delete	Delete a compute target (aks or amlcompute or computeinstance).
az ml computetarget detach	Detach a compute target (aks or remote) from a workspace.
az ml computetarget get-credentials	Get credentials for a compute target (aks or remote).
az ml computetarget list	List all the compute targets attached to a workspace.
az ml computetarget show	Show details of a specific compute target.
az ml computetarget update	Update a compute target (aks or amlcompute).
az ml computetarget update aks	Update an AKS compute target.
az ml computetarget update amlcompute	Update an AzureML compute target.
az ml dataset	Commands for managing datasets in Azure Machine Learning Workspace.
az ml dataset archive	Archive an active or deprecated dataset.
az ml dataset deprecate	Deprecate an active dataset in a workspace by another dataset.
az ml dataset list	List all datasets in the workspace.
az ml dataset reactivate	Reactivate an archived or deprecated dataset.
az ml dataset register	Register a new dataset from the specified file.
az ml dataset show	Get details of a dataset by its id or registration name.
az ml dataset unregister	Unregister all versions under the specified registration name.
az ml datastore	Commands for managing and using datastores with the Azure ML Workspace.
az ml datastore attach-adls	Attach an ADLS datastore.
az ml datastore attach-adls-gen2	Attach a ADLS Gen2 datastore.
az ml datastore attach-blob	Attach a blob storage datastore.
az ml datastore attach-dbfs	Attach a Databricks File System datastore.
az ml datastore attach-file	Attach a file share datastore.
az ml datastore attach-mysqldb	Attach an Azure MySQL datastore.
az ml datastore attach-psqldb	Attach an Azure PostgreSQL datastore.
az ml datastore attach-sqldb	Attach an Azure SQL datastore.
az ml datastore detach	Detach a datastore by name.
az ml datastore download	Download files from a Datastore.
az ml datastore list	List datastores in the workspace.
az ml datastore set-default	Set the workspace default datastore by name.
az ml datastore show	Show a single datastore by name.
az ml datastore show-default	Show the workspace default datastore.
az ml datastore upload	Upload files to a Datastore.
az ml endpoint	Manage machine learning endpoints.
az ml endpoint realtime	Manage operationalized realtime endpoints.
az ml endpoint realtime create-version	Create a version for realtime endpoint in the workspace.
az ml endpoint realtime delete	Delete a realtime endpoint and its version from the workspace.
az ml endpoint realtime delete-version	Delete a version for realtime endpoint in the workspace.
az ml endpoint realtime get-access-token	Get a token to issue requests a realtime endpoint.
az ml endpoint realtime get-keys	Get keys to issue requests against a realtime endpoint.
az ml endpoint realtime get-logs	Get logs for a realtime endpoint.
az ml endpoint realtime list	List realtime endpoints in the workspace.
az ml endpoint realtime regen-key	Regenerate keys for a realtime endpoint.
az ml endpoint realtime run	Run a realtime endpoint in the workspace.
az ml endpoint realtime show	Show details for a realtime endpoint in the workspace.
az ml endpoint realtime update	Update a realtime endpoint in the workspace.
az ml endpoint realtime update-version	Update a version for realtime endpoint in the workspace.
az ml environment	Commands to manage environments.
az ml environment download	Download an environment definition to a specified directory.
az ml environment list	List environments in a workspace.
az ml environment register	Register an environment definition from a specified directory.
az ml environment scaffold	Scaffold the files for a default environment definition in the specified directory.
az ml environment show	Show an environment by name and optionally version.
az ml experiment	Commands to manage experiments.
az ml experiment list	List experiments in a workspace.
az ml folder	Folder subgroup commands.
az ml folder attach	Attach a folder to an AzureML workspace and optionally a specific experiment to use by default. If experiment name is not specified, it defaults to the folder name.
az ml model	Manage machine learning models.
az ml model delete	Delete a model from the workspace.
az ml model deploy	Deploy model(s) from the workspace.
az ml model download	Download a model from the workspace.
az ml model list	List models in the workspace.
az ml model package	Package a model in the workspace.
az ml model profile	Profile model(s) in the workspace.
az ml model register	Register a model to the workspace.
az ml model show	Show a model in the workspace.
az ml model update	Update a model in the workspace.
az ml pipeline	Pipeline subgroup commands.
az ml pipeline clone	Generate yml definition describing the pipeline run, supported only for ModuleStep for now.
az ml pipeline clone-draft	Create a pipeline draft from an existing pipeline.
az ml pipeline create	Create a pipeline from a yaml definition.
az ml pipeline create-draft	Create a pipeline draft from a yml definition.
az ml pipeline create-schedule	Create a schedule.
az ml pipeline delete-draft	Delete a pipeline draft.
az ml pipeline disable	Disable a pipeline from running.
az ml pipeline disable-schedule	Disable a schedule from running.
az ml pipeline enable	Enable a pipeline and allow it to run.
az ml pipeline enable-schedule	Enable a schedule and allow it to run.
az ml pipeline get	Generate yml definition describing the pipeline.
az ml pipeline last-pipeline-run	Show last pipeline run for a schedule.
az ml pipeline list	List all pipelines and respective schedules in the workspace.
az ml pipeline list-drafts	List pipeline drafts in the workspace.
az ml pipeline list-steps	List the step runs generated from a pipeline run.
az ml pipeline pipeline-runs-list	List pipeline runs generated from a schedule.
az ml pipeline publish-draft	Publish a pipeline draft as a published pipeline.
az ml pipeline show	Show details of a pipeline and respective schedules.
az ml pipeline show-draft	Show details of a pipeline draft.
az ml pipeline show-schedule	Show details of a schedule.
az ml pipeline submit-draft	Submit a run from the pipeline draft.
az ml pipeline update-draft	Update a pipeline draft.
az ml pipeline update-schedule	Update a schedule.
az ml run	Commands for submitting, updating, and monitoring runs.
az ml run cancel	Cancel run.
az ml run download-logs	Download log files.
az ml run list	List runs.
az ml run monitor-logs	Monitor the logs for an existing run.
az ml run monitor-tensorboard	Monitor an existing run using tensorboard.
az ml run show	Show run.
az ml run submit-hyperdrive	Submit a hyper parameter sweep using run config.
az ml run submit-pipeline	Submit a pipeline for execution, from a published pipeline ID or pipeline YAML file.
az ml run submit-script	Submit a script for execution.
az ml run update	Update the run by adding tags.
az ml service	Manage operationalized services.
az ml service delete	Delete a service from the workspace.
az ml service get-access-token	Get a token to issue requests a service.
az ml service get-keys	Get keys to issue requests against a service.
az ml service get-logs	Get logs for a service.
az ml service list	List services in the workspace.
az ml service regen-key	Regenerate keys for a service.
az ml service run	Run a service in the workspace.
az ml service show	Show details for a service in the workspace.
az ml service update	Update a service in the workspace.
az ml workspace	Workspace subgroup commands.
az ml workspace create	Create a workspace.
az ml workspace delete	Delete a workspace.
az ml workspace list	List workspaces.
az ml workspace list-keys	List workspace keys for dependent resources such as storage, acr, and app insights.
az ml workspace private-endpoint	Workspace private endpoint subgroup commands.
az ml workspace private-endpoint add	Add private endpoint to a workspace.
az ml workspace private-endpoint delete	Delete the specified private endpoint Connection in the workspace.
az ml workspace private-endpoint list	List all private endpoints in a workspace.
az ml workspace share	Share a workspace with another user with a given role.
az ml workspace show	Show a workspace.
az ml workspace sync-keys	Sync workspace keys for dependent resources such as storage, acr, and app insights.
az ml workspace update	Update a workspace.
az ml workspace update-dependencies	Update workspace dependent resources.

az ml

Commands

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