Cloud AI Platform v1beta1 API - Class StudySpec.Types.MetricSpec.Types.SafetyMetricConfig (1.0.0-beta02) 

public sealed class StudySpec.Types.MetricSpec.Types.SafetyMetricConfig : IMessage<StudySpec.Types.MetricSpec.Types.SafetyMetricConfig>, IEquatable<StudySpec.Types.MetricSpec.Types.SafetyMetricConfig>, IDeepCloneable<StudySpec.Types.MetricSpec.Types.SafetyMetricConfig>, IBufferMessage, IMessage

Reference documentation and code samples for the Cloud AI Platform v1beta1 API class StudySpec.Types.MetricSpec.Types.SafetyMetricConfig.

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

Inheritance

object > StudySpec.Types.MetricSpec.Types.SafetyMetricConfig

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

SafetyMetricConfig()

public SafetyMetricConfig()

SafetyMetricConfig(SafetyMetricConfig)

public SafetyMetricConfig(StudySpec.Types.MetricSpec.Types.SafetyMetricConfig other)
Parameter
Name Description
other StudySpecTypesMetricSpecTypesSafetyMetricConfig

Properties

DesiredMinSafeTrialsFraction

public double DesiredMinSafeTrialsFraction { get; set; }

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.

Property Value
Type Description
double

HasDesiredMinSafeTrialsFraction

public bool HasDesiredMinSafeTrialsFraction { get; }

Gets whether the "desired_min_safe_trials_fraction" field is set

Property Value
Type Description
bool

SafetyThreshold

public double SafetyThreshold { get; set; }

Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used.

Property Value
Type Description
double