Class GoogleCloudAiplatformV1beta1StudySpecMetricSpecSafetyMetricConfig

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

Inheritance

object

GoogleCloudAiplatformV1beta1StudySpecMetricSpecSafetyMetricConfig

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.Aiplatform.v1beta1.Data

Assembly: Google.Apis.Aiplatform.v1beta1.dll

Syntax

public class GoogleCloudAiplatformV1beta1StudySpecMetricSpecSafetyMetricConfig : IDirectResponseSchema

Properties

DesiredMinSafeTrialsFraction

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.

Declaration

[JsonProperty("desiredMinSafeTrialsFraction")]
public virtual double? DesiredMinSafeTrialsFraction { get; set; }

Property Value

Type	Description
double?

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

SafetyThreshold

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

Declaration

[JsonProperty("safetyThreshold")]
public virtual double? SafetyThreshold { get; set; }

Property Value

Type	Description
double?

Implements

IDirectResponseSchema