Uses of Class
com.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig.Builder
Packages that use StudySpec.ConvexStopConfig.Builder
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Uses of StudySpec.ConvexStopConfig.Builder in com.google.cloud.aiplatform.v1beta1
Methods in com.google.cloud.aiplatform.v1beta1 that return StudySpec.ConvexStopConfig.BuilderModifier and TypeMethodDescriptionStudySpec.ConvexStopConfig.Builder.clear()StudySpec.ConvexStopConfig.Builder.clearAutoregressiveOrder()The number of Trial measurements used in autoregressive model for value prediction.StudySpec.ConvexStopConfig.Builder.clearLearningRateParameterName()The hyper-parameter name used in the tuning job that stands for learning rate.StudySpec.ConvexStopConfig.Builder.clearMaxNumSteps()Steps used in predicting the final objective for early stopped trials.StudySpec.ConvexStopConfig.Builder.clearMinNumSteps()Minimum number of steps for a trial to complete.StudySpec.ConvexStopConfig.Builder.clearUseSeconds()This bool determines whether or not the rule is applied based on elapsed_secs or steps.StudySpec.Builder.getConvexStopConfigBuilder()Deprecated.StudySpec.ConvexStopConfig.Builder.mergeFrom(StudySpec.ConvexStopConfig other) StudySpec.ConvexStopConfig.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) StudySpec.ConvexStopConfig.Builder.mergeFrom(com.google.protobuf.Message other) StudySpec.ConvexStopConfig.newBuilder()Deprecated.StudySpec.ConvexStopConfig.newBuilder(StudySpec.ConvexStopConfig prototype) Deprecated.StudySpec.ConvexStopConfig.newBuilderForType()Deprecated.protected StudySpec.ConvexStopConfig.BuilderStudySpec.ConvexStopConfig.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) Deprecated.StudySpec.ConvexStopConfig.Builder.setAutoregressiveOrder(long value) The number of Trial measurements used in autoregressive model for value prediction.StudySpec.ConvexStopConfig.Builder.setLearningRateParameterName(String value) The hyper-parameter name used in the tuning job that stands for learning rate.StudySpec.ConvexStopConfig.Builder.setLearningRateParameterNameBytes(com.google.protobuf.ByteString value) The hyper-parameter name used in the tuning job that stands for learning rate.StudySpec.ConvexStopConfig.Builder.setMaxNumSteps(long value) Steps used in predicting the final objective for early stopped trials.StudySpec.ConvexStopConfig.Builder.setMinNumSteps(long value) Minimum number of steps for a trial to complete.StudySpec.ConvexStopConfig.Builder.setUseSeconds(boolean value) This bool determines whether or not the rule is applied based on elapsed_secs or steps.StudySpec.ConvexStopConfig.toBuilder()Deprecated.Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type StudySpec.ConvexStopConfig.BuilderModifier and TypeMethodDescriptionStudySpec.Builder.setConvexStopConfig(StudySpec.ConvexStopConfig.Builder builderForValue) Deprecated.