Uniform Class

Constructor

Uniform(min_value: float | None = None, max_value: float | None = None, **kwargs: Any)

Parameters

Examples

Configuring Uniform distributions for learning rates and momentum during 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",
 )

 # we can reuse an existing Command Job as a function that we can apply inputs to for the sweep configurations
 from azure.ai.ml.sweep import Uniform

 job_for_sweep = job(
 kernel=Uniform(min_value=0.0005, max_value=0.005),
 penalty=Uniform(min_value=0.9, max_value=0.99),
 )