QLogUniform Class

QLogUniform distribution configuration.

Inheritance

azure.ai.ml.entities._job.sweep.search_space.QUniform

QLogUniform

Constructor

QLogUniform(min_value: float | None = None, max_value: float | None = None, q: int | None = None, **kwargs: Any)

Parameters

Name	Description
min_value	Optional[float] Minimum value of the log of the distribution. default value: None
max_value	Optional[float] Maximum value of the log of the distribution. default value: None
q	Optional[int] Quantization factor. default value: None

Examples

Configuring QLogUniform 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 QLogUniform, QNormal

   # 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=QNormal(mu=2.0, sigma=1.0, q=1),
       kernel=QLogUniform(min_value=1.0, max_value=5.0),
   )