Cloud AI Platform v1 API - Class StudySpec.Types.DecayCurveAutomatedStoppingSpec (2.19.0) 

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

Reference documentation and code samples for the Cloud AI Platform v1 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.

Inheritance

object > StudySpec.Types.DecayCurveAutomatedStoppingSpec

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

DecayCurveAutomatedStoppingSpec()

public DecayCurveAutomatedStoppingSpec()

DecayCurveAutomatedStoppingSpec(DecayCurveAutomatedStoppingSpec)

public DecayCurveAutomatedStoppingSpec(StudySpec.Types.DecayCurveAutomatedStoppingSpec other)
Parameter
NameDescription
otherStudySpecTypesDecayCurveAutomatedStoppingSpec

Properties

UseElapsedDuration

public bool UseElapsedDuration { get; set; }

True if [Measurement.elapsed_duration][google.cloud.aiplatform.v1.Measurement.elapsed_duration] is used as the x-axis of each Trials Decay Curve. Otherwise, [Measurement.step_count][google.cloud.aiplatform.v1.Measurement.step_count] will be used as the x-axis.

Property Value
TypeDescription
bool