Choice Class

Constructor

Choice(values: List[float | str | dict] | None = None, **kwargs: Any)

Parameters

Examples

Using Choice distribution to set values for a hyperparameter sweep

 from azure.ai.ml import command

 job = command(
 inputs=dict(kernel="linear", penalty=1.0),
 compute=cpu_cluster,
 environment=f"{job_env.name}:{job_env.version}",
 code="./scripts",
 command="python scripts/train.py --kernel $kernel --penalty $penalty",
 experiment_name="sklearn-iris-flowers",
 )

 from azure.ai.ml.sweep import Choice, LogUniform

 # we can reuse an existing Command Job as a function that we can apply inputs to for the sweep configurations
 job_for_sweep = job(
 kernel=LogUniform(min_value=-6, max_value=-1),
 penalty=Choice([0.9, 0.18, 0.36, 0.72]),
 )