Class GoogleCloudAiplatformV1StudySpecMetricSpecSafetyMetricConfig
Used in safe optimization to specify threshold levels and risk tolerance.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1StudySpecMetricSpecSafetyMetricConfig : 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? |