Uses of Class
com.google.cloud.aiplatform.v1.StudySpec.ConvexAutomatedStoppingSpec.Builder

Packages that use StudySpec.ConvexAutomatedStoppingSpec.Builder

Package	Description
com.google.cloud.aiplatform.v1

Uses of StudySpec.ConvexAutomatedStoppingSpec.Builder in com.google.cloud.aiplatform.v1

Methods in com.google.cloud.aiplatform.v1 that return StudySpec.ConvexAutomatedStoppingSpec.Builder

Modifier and Type	Method	Description
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.clear()
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.clearLearningRateParameterName()	The hyper-parameter name used in the tuning job that stands for learning rate.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.clearMaxStepCount()	Steps used in predicting the final objective for early stopped trials.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.clearMinMeasurementCount()	The minimal number of measurements in a Trial.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.clearMinStepCount()	Minimum number of steps for a trial to complete.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.clearUpdateAllStoppedTrials()	ConvexAutomatedStoppingSpec by default only updates the trials that needs to be early stopped using a newly trained auto-regressive model.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.clearUseElapsedDuration()	This bool determines whether or not the rule is applied based on elapsed_secs or steps.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.Builder.getConvexAutomatedStoppingSpecBuilder()	The automated early stopping spec using convex stopping rule.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.mergeFrom(StudySpec.ConvexAutomatedStoppingSpec other)
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.mergeFrom(com.google.protobuf.Message other)
static StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.newBuilder()
static StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.newBuilder(StudySpec.ConvexAutomatedStoppingSpec prototype)
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.newBuilderForType()
protected StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.setLearningRateParameterName(String value)	The hyper-parameter name used in the tuning job that stands for learning rate.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.setLearningRateParameterNameBytes(com.google.protobuf.ByteString value)	The hyper-parameter name used in the tuning job that stands for learning rate.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.setMaxStepCount(long value)	Steps used in predicting the final objective for early stopped trials.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.setMinMeasurementCount(long value)	The minimal number of measurements in a Trial.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.setMinStepCount(long value)	Minimum number of steps for a trial to complete.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.setUpdateAllStoppedTrials(boolean value)	ConvexAutomatedStoppingSpec by default only updates the trials that needs to be early stopped using a newly trained auto-regressive model.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.Builder.setUseElapsedDuration(boolean value)	This bool determines whether or not the rule is applied based on elapsed_secs or steps.
StudySpec.ConvexAutomatedStoppingSpec.Builder	StudySpec.ConvexAutomatedStoppingSpec.toBuilder()

Methods in com.google.cloud.aiplatform.v1 with parameters of type StudySpec.ConvexAutomatedStoppingSpec.Builder

Modifier and Type	Method	Description
StudySpec.Builder	StudySpec.Builder.setConvexAutomatedStoppingSpec(StudySpec.ConvexAutomatedStoppingSpec.Builder builderForValue)	The automated early stopping spec using convex stopping rule.