public sealed class StudySpec.Types.DecayCurveAutomatedStoppingSpec : IMessage<StudySpec.Types.DecayCurveAutomatedStoppingSpec>, IEquatable<StudySpec.Types.DecayCurveAutomatedStoppingSpec>, IDeepCloneable<StudySpec.Types.DecayCurveAutomatedStoppingSpec>, IBufferMessage, IMessageReference documentation and code samples for the Cloud AI Platform v1beta1 API class StudySpec.Types.DecayCurveAutomatedStoppingSpec.
The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial. Early stopping is requested for the current Trial if there is very low probability to exceed the optimal value found so far.
Implements
IMessageStudySpecTypesDecayCurveAutomatedStoppingSpec, IEquatableStudySpecTypesDecayCurveAutomatedStoppingSpec, IDeepCloneableStudySpecTypesDecayCurveAutomatedStoppingSpec, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
DecayCurveAutomatedStoppingSpec()
public DecayCurveAutomatedStoppingSpec()DecayCurveAutomatedStoppingSpec(DecayCurveAutomatedStoppingSpec)
public DecayCurveAutomatedStoppingSpec(StudySpec.Types.DecayCurveAutomatedStoppingSpec other)| Parameter | |
|---|---|
| Name | Description |
other |
StudySpecTypesDecayCurveAutomatedStoppingSpec |
Properties
UseElapsedDuration
public bool UseElapsedDuration { get; set; }True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1beta1.Measurement.elapsed_duration] is used as the x-axis of each Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1beta1.Measurement.step_count] will be used as the x-axis.
| Property Value | |
|---|---|
| Type | Description |
bool |
|