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QNormal Class

  • Reference

QNormal distribution configuration.

Constructor

QNormal(mu: float | None = None, sigma: float | None = None, q: int | None = None, **kwargs: Any)

Parameters

Name Description
mu
float

Mean of the distribution.

Default value: None
sigma
float

Standard deviation of the distribution.

Default value: None
q
int

Quantization factor.

Default value: None

Examples

Configuring QNormal 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),
   )