View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1StudySpecMetricSpecSafetyMetricConfig (google_api_ai_platform v0.13.0)

Used in safe optimization to specify threshold levels and risk tolerance.

Attributes

desiredMinSafeTrialsFraction (type: float(), default: nil) - Desired minimum fraction of safe trials (over total number of trials) that should be targeted by the algorithm at any time during the study (best effort). This should be between 0.0 and 1.0 and a value of 0.0 means that there is no minimum and an algorithm proceeds without targeting any specific fraction. A value of 1.0 means that the algorithm attempts to only Suggest safe Trials.
safetyThreshold (type: float(), default: nil) - Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1StudySpecMetricSpecSafetyMetricConfig{
    desiredMinSafeTrialsFraction: float() | nil,
    safetyThreshold: float() | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.