Normal Class

Constructor

Normal(mu: float | None = None, sigma: float | None = None, **kwargs: Any)

Parameters

Examples

Configuring Normal distributions for a hyperparameter sweep on a Command job.

 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 Normal, Randint

 # we can reuse an existing Command Job as a function that we can apply inputs to for the sweep configurations
 job_for_sweep = job(
 penalty=Randint(upper=5),
 kernel=Normal(mu=2.0, sigma=1.0),
 )