az ml

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.

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 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.