Uses of Class
com.google.cloud.aiplatform.v1.Trial
Packages that use Trial
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Uses of Trial in com.google.cloud.aiplatform.v1
Methods in com.google.cloud.aiplatform.v1 that return TrialModifier and TypeMethodDescriptionTrial.Builder.build()Trial.Builder.buildPartial()static TrialTrial.getDefaultInstance()Trial.Builder.getDefaultInstanceForType()Trial.getDefaultInstanceForType()ListOptimalTrialsResponse.Builder.getOptimalTrials(int index) The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.ListOptimalTrialsResponse.getOptimalTrials(int index) The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.ListOptimalTrialsResponseOrBuilder.getOptimalTrials(int index) The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.CreateTrialRequest.Builder.getTrial()Required.CreateTrialRequest.getTrial()Required.CreateTrialRequestOrBuilder.getTrial()Required.HyperparameterTuningJob.Builder.getTrials(int index) Output only.HyperparameterTuningJob.getTrials(int index) Output only.HyperparameterTuningJobOrBuilder.getTrials(int index) Output only.ListTrialsResponse.Builder.getTrials(int index) The Trials associated with the Study.ListTrialsResponse.getTrials(int index) The Trials associated with the Study.ListTrialsResponseOrBuilder.getTrials(int index) The Trials associated with the Study.SuggestTrialsResponse.Builder.getTrials(int index) A list of Trials.SuggestTrialsResponse.getTrials(int index) A list of Trials.SuggestTrialsResponseOrBuilder.getTrials(int index) A list of Trials.static TrialTrial.parseDelimitedFrom(InputStream input) static TrialTrial.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TrialTrial.parseFrom(byte[] data) static TrialTrial.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TrialTrial.parseFrom(com.google.protobuf.ByteString data) static TrialTrial.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TrialTrial.parseFrom(com.google.protobuf.CodedInputStream input) static TrialTrial.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TrialTrial.parseFrom(InputStream input) static TrialTrial.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static TrialTrial.parseFrom(ByteBuffer data) static TrialTrial.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in com.google.cloud.aiplatform.v1 that return types with arguments of type TrialModifier and TypeMethodDescriptionListOptimalTrialsResponse.Builder.getOptimalTrialsList()The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.ListOptimalTrialsResponse.getOptimalTrialsList()The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.ListOptimalTrialsResponseOrBuilder.getOptimalTrialsList()The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.com.google.protobuf.Parser<Trial>Trial.getParserForType()HyperparameterTuningJob.Builder.getTrialsList()Output only.HyperparameterTuningJob.getTrialsList()Output only.HyperparameterTuningJobOrBuilder.getTrialsList()Output only.ListTrialsResponse.Builder.getTrialsList()The Trials associated with the Study.ListTrialsResponse.getTrialsList()The Trials associated with the Study.ListTrialsResponseOrBuilder.getTrialsList()The Trials associated with the Study.SuggestTrialsResponse.Builder.getTrialsList()A list of Trials.SuggestTrialsResponse.getTrialsList()A list of Trials.SuggestTrialsResponseOrBuilder.getTrialsList()A list of Trials.static com.google.protobuf.Parser<Trial>Trial.parser()Methods in com.google.cloud.aiplatform.v1 with parameters of type TrialModifier and TypeMethodDescriptionListOptimalTrialsResponse.Builder.addOptimalTrials(int index, Trial value) The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.ListOptimalTrialsResponse.Builder.addOptimalTrials(Trial value) The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.Output only.Output only.The Trials associated with the Study.The Trials associated with the Study.A list of Trials.A list of Trials.CreateTrialRequest.Builder.mergeTrial(Trial value) Required.static Trial.BuilderTrial.newBuilder(Trial prototype) ListOptimalTrialsResponse.Builder.setOptimalTrials(int index, Trial value) The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.Required.Output only.The Trials associated with the Study.A list of Trials.Method parameters in com.google.cloud.aiplatform.v1 with type arguments of type TrialModifier and TypeMethodDescriptionListOptimalTrialsResponse.Builder.addAllOptimalTrials(Iterable<? extends Trial> values) The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study.HyperparameterTuningJob.Builder.addAllTrials(Iterable<? extends Trial> values) Output only.ListTrialsResponse.Builder.addAllTrials(Iterable<? extends Trial> values) The Trials associated with the Study.SuggestTrialsResponse.Builder.addAllTrials(Iterable<? extends Trial> values) A list of Trials.