az ml connection

Note

This reference is part of the ml extension for the Azure CLI (version 2.15.0 or higher). The extension will automatically install the first time you run an az ml connection command. Learn more about extensions.

Manage Azure ML workspace connection.

Azure ML workspace connection provides a secure way to store authentication and configuration information needed to connect and interact with the external resources.

Commands

az ml connection create	Create a workspace connection.
az ml connection delete	Delete a workspace connection.
az ml connection list	List all the workspaces connection.
az ml connection show	Show details of a workspace connection.
az ml connection update	Update a workspace connection.

az ml connection create

Create a workspace connection.

Workspace connection allow to store authentication and configuration information needed to connect and interact with the external resources.

az ml connection create --file
                        --resource-group
                        --workspace-name
                        [--name]
                        [--set]

Examples

Create a workspace connection from a YAML specification file.

az ml connection create --file connection.yml --resource-group my-resource-group --workspace-name my-workspace

Required Parameters

--file -f

Local path to the YAML file containing the Azure ML workspace connection specification.

--resource-group -g

Name of resource group. You can configure the default group using az configure --defaults group=<name>.

--workspace-name -w

Name of the Azure ML workspace. You can configure the default group using az configure --defaults workspace=<name>.

Optional Parameters

--name -n

Name of the environment.

--set

Update an object by specifying a property path and value to set. Example: --set property1.property2=.

Global Parameters

--debug

Increase logging verbosity to show all debug logs.

--help -h

Show this help message and exit.

--only-show-errors

Only show errors, suppressing warnings.

--output -o

Output format.

--query

JMESPath query string. See http://jmespath.org/ for more information and examples.

--subscription

Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.

--verbose

Increase logging verbosity. Use --debug for full debug logs.

az ml connection delete

Delete a workspace connection.

az ml connection delete --name
                        --resource-group
                        --workspace-name
                        [--yes]

Required Parameters

--name -n

Name of the environment.

--resource-group -g

Name of resource group. You can configure the default group using az configure --defaults group=<name>.

--workspace-name -w

Name of the Azure ML workspace. You can configure the default group using az configure --defaults workspace=<name>.

Optional Parameters

--yes -y

Do not prompt for confirmation.

Global Parameters

--debug

Increase logging verbosity to show all debug logs.

--help -h

Show this help message and exit.

--only-show-errors

Only show errors, suppressing warnings.

--output -o

Output format.

--query

JMESPath query string. See http://jmespath.org/ for more information and examples.

--subscription

Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.

--verbose

Increase logging verbosity. Use --debug for full debug logs.

az ml connection list

List all the workspaces connection.

The list of connections in a workspace.

az ml connection list --resource-group
                      --workspace-name
                      [--max-results]
                      [--type]

Examples

List all connections in a workspace

az ml connection list --resource-group my-resource-group --workspace-name my-workspace

List all the connections in a workspace using --query argument to execute a JMESPath query on the results of commands.

az ml connection list --query "[].{Name:name}"  --output table --resource-group my-resource-group --workspace-name my-workspace

Required Parameters

--resource-group -g

Name of resource group. You can configure the default group using az configure --defaults group=<name>.

--workspace-name -w

Name of the Azure ML workspace. You can configure the default group using az configure --defaults workspace=<name>.

Optional Parameters

--max-results -r

Max number of results to return.

--type -t

The type of Azure ML workspace connection to list.

Global Parameters

--debug

Increase logging verbosity to show all debug logs.

--help -h

Show this help message and exit.

--only-show-errors

Only show errors, suppressing warnings.

--output -o

Output format.

--query

JMESPath query string. See http://jmespath.org/ for more information and examples.

--subscription

Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.

--verbose

Increase logging verbosity. Use --debug for full debug logs.

az ml connection show

Show details of a workspace connection.

az ml connection show --name
                      --resource-group
                      --workspace-name

Required Parameters

--name -n

Name of the environment.

--resource-group -g

Name of resource group. You can configure the default group using az configure --defaults group=<name>.

--workspace-name -w

Name of the Azure ML workspace. You can configure the default group using az configure --defaults workspace=<name>.

Global Parameters

--debug

Increase logging verbosity to show all debug logs.

--help -h

Show this help message and exit.

--only-show-errors

Only show errors, suppressing warnings.

--output -o

Output format.

--query

JMESPath query string. See http://jmespath.org/ for more information and examples.

--subscription

Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.

--verbose

Increase logging verbosity. Use --debug for full debug logs.

az ml connection update

Update a workspace connection.

az ml connection update --name
                        --resource-group
                        --workspace-name
                        [--add]
                        [--force-string]
                        [--remove]
                        [--set]

Examples

update a workspace connection from a YAML specification file.

az ml connection update --resource-group my-resource-group --name my-workspace-connection-name --workspace-name my-workspace

Required Parameters

--name -n

Name of the environment.

--resource-group -g

Name of resource group. You can configure the default group using az configure --defaults group=<name>.

--workspace-name -w

Name of the Azure ML workspace. You can configure the default group using az configure --defaults workspace=<name>.

Optional Parameters

--add

Add an object to a list of objects by specifying a path and key value pairs. Example: --add property.listProperty <key=value, string or JSON string>.

--force-string

When using 'set' or 'add', preserve string literals instead of attempting to convert to JSON.

--remove

Remove a property or an element from a list. Example: --remove property.list OR --remove propertyToRemove.

--set

Update an object by specifying a property path and value to set. Example: --set property1.property2=.

Global Parameters

--debug

Increase logging verbosity to show all debug logs.

--help -h

Show this help message and exit.

--only-show-errors

Only show errors, suppressing warnings.

--output -o

Output format.

--query

JMESPath query string. See http://jmespath.org/ for more information and examples.

--subscription

Name or ID of subscription. You can configure the default subscription using az account set -s NAME_OR_ID.

--verbose

Increase logging verbosity. Use --debug for full debug logs.