BanditPolicy Class

Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.

All required parameters must be populated in order to send to Azure.

Inheritance

azure.mgmt.machinelearningservices.models._models_py3.EarlyTerminationPolicy

BanditPolicy

Constructor

BanditPolicy(*, delay_evaluation: int = 0, evaluation_interval: int = 0, slack_amount: float = 0, slack_factor: float = 0, **kwargs: Any)

Keyword-Only Parameters

Name	Description
delay_evaluation	int Number of intervals by which to delay the first evaluation.
evaluation_interval	int Interval (number of runs) between policy evaluations.
slack_amount	float Absolute distance allowed from the best performing run.
slack_factor	float Ratio of the allowed distance from the best performing run.

Variables

Name	Description
delay_evaluation	int Number of intervals by which to delay the first evaluation.
evaluation_interval	int Interval (number of runs) between policy evaluations.
policy_type	str or EarlyTerminationPolicyType [Required] Name of policy configuration. Required. Known values are: "Bandit", "MedianStopping", and "TruncationSelection".
slack_amount	float Absolute distance allowed from the best performing run.
slack_factor	float Ratio of the allowed distance from the best performing run.