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GoogleApi__HttpBody: Message that represents an arbitrary HTTP body.

GoogleCloudMlV1__AcceleratorConfig: Represents a hardware accelerator request config.

GoogleCloudMlV1__AddTrialMeasurementRequest: The request message for the AddTrialMeasurement service method.

GoogleCloudMlV1__AutomatedStoppingConfig: Configuration for Automated Early Stopping of Trials.

GoogleCloudMlV1__AutoScaling: Options for automatically scaling a model.

GoogleCloudMlV1__BuiltInAlgorithmOutput: Represents output related to a built-in algorithm Job.

GoogleCloudMlV1__CancelJobRequest: Request message for the CancelJob method.

GoogleCloudMlV1__CheckTrialEarlyStoppingStateMetatdata: This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

GoogleCloudMlV1__CheckTrialEarlyStoppingStateRequest: The request message for the CheckTrialEarlyStoppingState service method.

GoogleCloudMlV1__CheckTrialEarlyStoppingStateResponse: The message will be placed in the response field of a completed google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

GoogleCloudMlV1__CompleteTrialRequest: The request message for the CompleteTrial service method.

GoogleCloudMlV1__ContainerPort: Represents a network port in a single container.

GoogleCloudMlV1__ContainerSpec: Specification of a custom container for serving predictions.

GoogleCloudMlV1__DiskConfig: Represents the config of disk options.

GoogleCloudMlV1__EncryptionConfig: Represents a custom encryption key configuration that can be applied to a resource.

GoogleCloudMlV1__EnvVar: Represents an environment variable to be made available in a container.

GoogleCloudMlV1__ExplainRequest: Request for explanations to be issued against a trained model.

GoogleCloudMlV1__ExplanationConfig: Message holding configuration options for explaining model predictions.

GoogleCloudMlV1__GetConfigResponse: Returns service account information associated with a project.

GoogleCloudMlV1__HyperparameterOutput: Represents the result of a single hyperparameter tuning trial from a training job.

GoogleCloudMlV1__HyperparameterSpec: Represents a set of hyperparameters to optimize.

GoogleCloudMlV1__IntegratedGradientsAttribution: Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure.

GoogleCloudMlV1__Job: Represents a training or prediction job.

GoogleCloudMlV1__ListJobsResponse: Response message for the ListJobs method.

GoogleCloudMlV1__ListModelsResponse: Response message for the ListModels method.

GoogleCloudMlV1__ListOptimalTrialsRequest: The request message for the ListTrials service method.

GoogleCloudMlV1__ListOptimalTrialsResponse: The response message for the ListOptimalTrials method.

GoogleCloudMlV1__ListTrialsResponse: The response message for the ListTrials method.

GoogleCloudMlV1__ListVersionsResponse: Response message for the ListVersions method.

GoogleCloudMlV1__ManualScaling: Options for manually scaling a model.

GoogleCloudMlV1__Measurement: A message representing a measurement.

GoogleCloudMlV1__MetricSpec: MetricSpec contains the specifications to use to calculate the desired nodes count when autoscaling is enabled.

GoogleCloudMlV1__Model: Represents a machine learning solution.

GoogleCloudMlV1__OperationMetadata: Represents the metadata of the long-running operation.

GoogleCloudMlV1__ParameterSpec: Represents a single hyperparameter to optimize.

GoogleCloudMlV1__PredictionInput: Represents input parameters for a prediction job.

GoogleCloudMlV1__PredictionOutput: Represents results of a prediction job.

GoogleCloudMlV1__PredictRequest: Request for predictions to be issued against a trained model.

GoogleCloudMlV1__ReplicaConfig: Represents the configuration for a replica in a cluster.

GoogleCloudMlV1__RequestLoggingConfig: Configuration for logging request-response pairs to a BigQuery table.

GoogleCloudMlV1__RouteMap: Specifies HTTP paths served by a custom container.

GoogleCloudMlV1__SampledShapleyAttribution: An attribution method that approximates Shapley values for features that contribute to the label being predicted.

GoogleCloudMlV1__Scheduling: All parameters related to scheduling of training jobs.

GoogleCloudMlV1__SetDefaultVersionRequest: Request message for the SetDefaultVersion request.

GoogleCloudMlV1__Study: A message representing a Study.

GoogleCloudMlV1__StudyConfig: Represents configuration of a study.

GoogleCloudMlV1__SuggestTrialsMetadata: Metadata field of a google.longrunning.Operation associated with a SuggestTrialsRequest.

GoogleCloudMlV1__SuggestTrialsRequest: The request message for the SuggestTrial service method.

GoogleCloudMlV1__SuggestTrialsResponse: This message will be placed in the response field of a completed google.longrunning.Operation associated with a SuggestTrials request.

GoogleCloudMlV1__TrainingInput: Represents input parameters for a training job.

GoogleCloudMlV1__TrainingOutput: Represents results of a training job.

GoogleCloudMlV1__Trial: A message representing a trial.

GoogleCloudMlV1__Version: Represents a version of the model.

GoogleCloudMlV1__XraiAttribution: Attributes credit by computing the XRAI taking advantage of the model's fully differentiable structure.

GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig: The median automated stopping rule stops a pending trial if the trial's best objective_value is strictly below the median 'performance' of all completed trials reported up to the trial's last measurement.

GoogleCloudMlV1HyperparameterOutputHyperparameterMetric: An observed value of a metric.

GoogleCloudMlV1MeasurementMetric: A message representing a metric in the measurement.

GoogleCloudMlV1StudyConfigMetricSpec: Represents a metric to optimize.

GoogleCloudMlV1StudyConfigParameterSpec: Represents a single parameter to optimize.

GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec: Represents the spec to match categorical values from parent parameter.

GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec: Represents the spec to match discrete values from parent parameter.

GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec: Represents the spec to match integer values from parent parameter.

GoogleCloudMlV1TrialParameter: A message representing a parameter to be tuned.

GoogleIamV1__AuditConfig: Specifies the audit configuration for a service.

GoogleIamV1__AuditLogConfig: Provides the configuration for logging a type of permissions.

GoogleIamV1__Binding: Associates `members`, or principals, with a `role`.

GoogleIamV1__Policy: An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources.

GoogleIamV1__SetIamPolicyRequest: Request message for `SetIamPolicy` method.

GoogleIamV1__TestIamPermissionsRequest: Request message for `TestIamPermissions` method.

GoogleIamV1__TestIamPermissionsResponse: Response message for `TestIamPermissions` method.

GoogleLongrunning__ListOperationsResponse: The response message for Operations.ListOperations.

GoogleLongrunning__Operation: This resource represents a long-running operation that is the result of a network API call.

GoogleProtobuf__Empty: A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs.

GoogleRpc__Status: The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs.

GoogleType__Expr: Represents a textual expression in the Common Expression Language (CEL) syntax.