v1 library

Classes

CloudMachineLearningEngineApi: An API to enable creating and using machine learning models.
GoogleCloudMlV1AcceleratorConfig: Represents a hardware accelerator request config.
GoogleCloudMlV1AddTrialMeasurementRequest: The request message for the AddTrialMeasurement service method.
GoogleCloudMlV1AutomatedStoppingConfig: Configuration for Automated Early Stopping of Trials.
GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig
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.
GoogleCloudMlV1AutoScaling: Options for automatically scaling a model.
GoogleCloudMlV1BuiltInAlgorithmOutput: Represents output related to a built-in algorithm Job.
GoogleCloudMlV1Capability
GoogleCloudMlV1CompleteTrialRequest: The request message for the CompleteTrial service method.
GoogleCloudMlV1Config
GoogleCloudMlV1ContainerPort: Represents a network port in a single container.
GoogleCloudMlV1ContainerSpec: Specification of a custom container for serving predictions.
GoogleCloudMlV1EncryptionConfig: Represents a custom encryption key configuration that can be applied to a resource.
GoogleCloudMlV1EnvVar: Represents an environment variable to be made available in a container.
GoogleCloudMlV1ExplainRequest: Request for explanations to be issued against a trained model.
GoogleCloudMlV1ExplanationConfig: Message holding configuration options for explaining model predictions.
GoogleCloudMlV1GetConfigResponse: Returns service account information associated with a project.
GoogleCloudMlV1HyperparameterOutput: Represents the result of a single hyperparameter tuning trial from a training job.
GoogleCloudMlV1HyperparameterOutputHyperparameterMetric: An observed value of a metric.
GoogleCloudMlV1HyperparameterSpec: Represents a set of hyperparameters to optimize.
GoogleCloudMlV1Job: Represents a training or prediction job.
GoogleCloudMlV1ListJobsResponse: Response message for the ListJobs method.
GoogleCloudMlV1ListLocationsResponse
GoogleCloudMlV1ListModelsResponse: Response message for the ListModels method.
GoogleCloudMlV1ListOptimalTrialsResponse: The response message for the ListOptimalTrials method.
GoogleCloudMlV1ListStudiesResponse
GoogleCloudMlV1ListTrialsResponse: The response message for the ListTrials method.
GoogleCloudMlV1ListVersionsResponse: Response message for the ListVersions method.
GoogleCloudMlV1Location
GoogleCloudMlV1ManualScaling: Options for manually scaling a model.
GoogleCloudMlV1Measurement: A message representing a measurement.
GoogleCloudMlV1MeasurementMetric: A message representing a metric in the measurement.
GoogleCloudMlV1MetricSpec: MetricSpec contains the specifications to use to calculate the desired nodes count when autoscaling is enabled.
GoogleCloudMlV1Model: Represents a machine learning solution.
GoogleCloudMlV1ParameterSpec: Represents a single hyperparameter to optimize.
GoogleCloudMlV1PredictionInput: Represents input parameters for a prediction job.
GoogleCloudMlV1PredictionOutput: Represents results of a prediction job.
GoogleCloudMlV1PredictRequest: Request for predictions to be issued against a trained model.
GoogleCloudMlV1ReplicaConfig: Represents the configuration for a replica in a cluster.
GoogleCloudMlV1RequestLoggingConfig: Configuration for logging request-response pairs to a BigQuery table.
GoogleCloudMlV1RouteMap: Specifies HTTP paths served by a custom container.
GoogleCloudMlV1SampledShapleyAttribution: An attribution method that approximates Shapley values for features that contribute to the label being predicted.
GoogleCloudMlV1Scheduling: All parameters related to scheduling of training jobs.
GoogleCloudMlV1Study: A message representing a Study.
GoogleCloudMlV1StudyConfig: Represents configuration of a study.
GoogleCloudMlV1StudyConfigMetricSpec: Represents a metric to optimize.
GoogleCloudMlV1StudyConfigParameterSpec: Represents a single parameter to optimize.
GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec
GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec
GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec
GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec
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.
GoogleCloudMlV1SuggestTrialsRequest: The request message for the SuggestTrial service method.
GoogleCloudMlV1TrainingInput: Represents input parameters for a training job.
GoogleCloudMlV1TrainingOutput: Represents results of a training job.
GoogleCloudMlV1Trial: A message representing a trial.
GoogleCloudMlV1TrialParameter: A message representing a parameter to be tuned.
GoogleCloudMlV1Version: Represents a version of the model.
GoogleIamV1AuditConfig: Specifies the audit configuration for a service.
GoogleIamV1Binding: Associates members, or principals, with a role.
GoogleIamV1Policy: An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources.
GoogleIamV1SetIamPolicyRequest: Request message for SetIamPolicy method.
GoogleLongrunningListOperationsResponse: The response message for Operations.ListOperations.
GoogleLongrunningOperation: This resource represents a long-running operation that is the result of a network API call.
ProjectsJobsResource
ProjectsLocationsOperationsResource
ProjectsLocationsResource
ProjectsLocationsStudiesResource
ProjectsLocationsStudiesTrialsResource
ProjectsModelsResource
ProjectsModelsVersionsResource
ProjectsOperationsResource
ProjectsResource

Typedefs

GoogleApiHttpBody = $HttpBody: Message that represents an arbitrary HTTP body.
GoogleCloudMlV1CancelJobRequest = $Empty: Request message for the CancelJob method.
GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest = $Empty: The request message for the CheckTrialEarlyStoppingState service method.
GoogleCloudMlV1DiskConfig = $Shared04: Represents the config of disk options.
GoogleCloudMlV1IntegratedGradientsAttribution = $Attribution: Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure.
GoogleCloudMlV1ListOptimalTrialsRequest = $Empty: The request message for the ListTrials service method.
GoogleCloudMlV1SetDefaultVersionRequest = $Empty: Request message for the SetDefaultVersion request.
GoogleCloudMlV1StopTrialRequest = $Empty
GoogleCloudMlV1XraiAttribution = $Attribution: Attributes credit by computing the XRAI taking advantage of the model's fully differentiable structure.
GoogleIamV1AuditLogConfig = $AuditLogConfig: Provides the configuration for logging a type of permissions.
GoogleIamV1TestIamPermissionsRequest = $TestIamPermissionsRequest00: Request message for TestIamPermissions method.
GoogleIamV1TestIamPermissionsResponse = $PermissionsResponse: Response message for TestIamPermissions method.
GoogleProtobufEmpty = $Empty: A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs.
GoogleRpcStatus = $Status: The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs.
GoogleTypeExpr = $Expr: Represents a textual expression in the Common Expression Language (CEL) syntax.

Exceptions / Errors

ApiRequestError: Represents a general error reported by the API endpoint.
DetailedApiRequestError: Represents a specific error reported by the API endpoint.

ml/v1 library

Classes

Typedefs

Exceptions / Errors

googleapis package