ez_azml.cloud_runs.commands.command.CommandRun

class ez_azml.cloud_runs.commands.command.CommandRun(code: str | Path, commands: str | list[str], ws_connection: WorkspaceConnection | None = None, flags: list[str] | None = None, identity: UserIdentityConfiguration | None = None, name: str | None = None, register_kwargs: dict[str, Any] | None = None, **kwargs)

Bases: CloudRun

Cloud run that is based on AzureML Commands.

Parameters:

• code – location of the python scripts to use

• commands – commands to run on the cloud (e.g. python my_script.py)

• flags – flags to use with the last command.

• identity – credentials to use.

• name – command’s name.

• register_kwargs – kwargs to use when registering component.

__init__(code: str | Path, commands: str | list[str], ws_connection: WorkspaceConnection | None = None, flags: list[str] | None = None, identity: UserIdentityConfiguration | None = None, name: str | None = None, register_kwargs: dict[str, Any] | None = None, **kwargs) → None

Methods

__init__(code, commands[, ws_connection, ...])
get_component(**kwargs)	Returns the mldesigner component.
on_register_end()	Hook called after a component has been registered.
on_register_start()	Hook called before a component has been registered.
on_run_end(output)	Hook called once run has been submitted.
on_run_start()	Hook called before run is submitted.
register([ml_client])	Registers the run as a reusable component.
run()	Submits and runs the job.

Attributes

cli_command	Actual cli command run on AzureML.
command	Runnable command.