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RandomSamplingAlgorithm Class

Random Sampling Algorithm.

Constructor

RandomSamplingAlgorithm(*, rule: str | None = None, seed: int | None = None, logbase: float | str | None = None)

Keyword-Only Parameters

Name Description
rule

The specific type of random algorithm. Accepted values are: "random" and "sobol".

Default value: None
seed
int

The seed for random number generation.

Default value: None
logbase

A positive number or the number "e" in string format to be used as the base for log based random sampling.

Default value: None

Examples

Assigning a random sampling algorithm for a SweepJob


 from azure.ai.ml.entities import CommandJob
 from azure.ai.ml.sweep import RandomSamplingAlgorithm, SweepJob, SweepJobLimits

 command_job = CommandJob(
 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",
 )

 sweep = SweepJob(
 sampling_algorithm=RandomSamplingAlgorithm(seed=999, rule="sobol", logbase="e"),
 trial=command_job,
 search_space={"ss": Choice(type="choice", values=[{"space1": True}, {"space2": True}])},
 inputs={"input1": {"file": "top_level.csv", "mode": "ro_mount"}}, # type:ignore
 compute="top_level",
 limits=SweepJobLimits(trial_timeout=600),
 )

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