GridSamplingAlgorithm Klasse

Rastersamplingalgorithmus.

Vererbung

azure.ai.ml.entities._job.sweep.sampling_algorithm.SamplingAlgorithm

GridSamplingAlgorithm

Konstruktor

GridSamplingAlgorithm()

Beispiele

Zuweisen eines Rastersamplingalgorithmus für einen SweepJob

   from azure.ai.ml.entities import CommandJob
   from azure.ai.ml.sweep import GridSamplingAlgorithm, 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=GridSamplingAlgorithm(),
       trial=command_job,
       search_space={"ss": Choice(type="choice", values=[{"space1": True}, {"space2": True}])},
       inputs={"input1": {"file": "top_level.csv", "mode": "ro_mount"}},
       compute="top_level",
       limits=SweepJobLimits(trial_timeout=600),
   )