Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123456789]

▼NGoogle
▼NApis
▼NCloudMachineLearningEngine
▼Nv1
▼NData
CGoogleApiHttpBody	Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page
CGoogleCloudMlV1AcceleratorConfig	Represents a hardware accelerator request config. Note that the AcceleratorConfig can be used in both Jobs and Versions. Learn more about accelerators for training and accelerators for online prediction.
CGoogleCloudMlV1AddTrialMeasurementRequest	The request message for the AddTrialMeasurement service method.
CGoogleCloudMlV1AutomatedStoppingConfig	Configuration for Automated Early Stopping of Trials. If no implementation_config is set, automated early stopping will not be run.
CGoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig
CGoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig	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. Currently, 'performance' refers to the running average of the objective values reported by the trial in each measurement.
CGoogleCloudMlV1AutoScaling	Options for automatically scaling a model.
CGoogleCloudMlV1BuiltInAlgorithmOutput	Represents output related to a built-in algorithm Job.
CGoogleCloudMlV1CancelJobRequest	Request message for the CancelJob method.
CGoogleCloudMlV1Capability
CGoogleCloudMlV1CheckTrialEarlyStoppingStateMetatdata	This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.
CGoogleCloudMlV1CheckTrialEarlyStoppingStateRequest	The request message for the CheckTrialEarlyStoppingState service method.
CGoogleCloudMlV1CheckTrialEarlyStoppingStateResponse	The message will be placed in the response field of a completed google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.
CGoogleCloudMlV1CompleteTrialRequest	The request message for the CompleteTrial service method.
CGoogleCloudMlV1Config
CGoogleCloudMlV1EncryptionConfig	Represents a custom encryption key configuration that can be applied to a resource.
CGoogleCloudMlV1ExplainRequest	Request for explanations to be issued against a trained model.
CGoogleCloudMlV1ExplanationConfig	Message holding configuration options for explaining model predictions. There are two feature attribution methods supported for TensorFlow models: integrated gradients and sampled Shapley. Learn more about feature attributions.
CGoogleCloudMlV1GetConfigResponse	Returns service account information associated with a project.
CGoogleCloudMlV1HyperparameterOutput	Represents the result of a single hyperparameter tuning trial from a training job. The TrainingOutput object that is returned on successful completion of a training job with hyperparameter tuning includes a list of HyperparameterOutput objects, one for each successful trial.
CGoogleCloudMlV1HyperparameterOutputHyperparameterMetric	An observed value of a metric.
CGoogleCloudMlV1HyperparameterSpec	Represents a set of hyperparameters to optimize.
CGoogleCloudMlV1IntegratedGradientsAttribution	Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: http://proceedings.mlr.press/v70/sundararajan17a.html
CGoogleCloudMlV1Job	Represents a training or prediction job.
CGoogleCloudMlV1ListJobsResponse	Response message for the ListJobs method.
CGoogleCloudMlV1ListLocationsResponse
CGoogleCloudMlV1ListModelsResponse	Response message for the ListModels method.
CGoogleCloudMlV1ListStudiesResponse
CGoogleCloudMlV1ListTrialsResponse	The response message for the ListTrials method.
CGoogleCloudMlV1ListVersionsResponse	Response message for the ListVersions method.
CGoogleCloudMlV1Location
CGoogleCloudMlV1ManualScaling	Options for manually scaling a model.
CGoogleCloudMlV1Measurement	A message representing a Measurement.
CGoogleCloudMlV1MeasurementMetric	A message representing a metric in the measurement.
CGoogleCloudMlV1Model	Represents a machine learning solution
CGoogleCloudMlV1OperationMetadata	Represents the metadata of the long-running operation.
CGoogleCloudMlV1ParameterSpec	Represents a single hyperparameter to optimize.
CGoogleCloudMlV1PredictionInput	Represents input parameters for a prediction job.
CGoogleCloudMlV1PredictionOutput	Represents results of a prediction job.
CGoogleCloudMlV1PredictRequest	Request for predictions to be issued against a trained model.
CGoogleCloudMlV1ReplicaConfig	Represents the configuration for a replica in a cluster.
CGoogleCloudMlV1RequestLoggingConfig	Configuration for logging request-response pairs to a BigQuery table. Online prediction requests to a model version and the responses to these requests are converted to raw strings and saved to the specified BigQuery table. Logging is constrained by BigQuery quotas and limits. If your project exceeds BigQuery quotas or limits, AI Platform Prediction does not log request-response pairs, but it continues to serve predictions
CGoogleCloudMlV1SampledShapleyAttribution	An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features.
CGoogleCloudMlV1Scheduling	All parameters related to scheduling of training jobs.
CGoogleCloudMlV1SetDefaultVersionRequest	Request message for the SetDefaultVersion request.
CGoogleCloudMlV1StopTrialRequest
CGoogleCloudMlV1Study	A message representing a Study.
CGoogleCloudMlV1StudyConfig	Represents configuration of a study.
CGoogleCloudMlV1StudyConfigMetricSpec	Represents a metric to optimize.
CGoogleCloudMlV1StudyConfigParameterSpec	Represents a single parameter to optimize.
CGoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec
CGoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec
CGoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec
CGoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec
CGoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec	Represents the spec to match categorical values from parent parameter.
CGoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec	Represents the spec to match discrete values from parent parameter.
CGoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec	Represents the spec to match integer values from parent parameter.
CGoogleCloudMlV1SuggestTrialsMetadata	Metadata field of a google.longrunning.Operation associated with a SuggestTrialsRequest.
CGoogleCloudMlV1SuggestTrialsRequest	The request message for the SuggestTrial service method.
CGoogleCloudMlV1SuggestTrialsResponse	This message will be placed in the response field of a completed google.longrunning.Operation associated with a SuggestTrials request.
CGoogleCloudMlV1TrainingInput	Represents input parameters for a training job. When using the gcloud command to submit your training job, you can specify the input parameters as command-line arguments and/or in a YAML configuration file referenced from the –config command-line argument. For details, see the guide to submitting a training job.
CGoogleCloudMlV1TrainingOutput	Represents results of a training job. Output only.
CGoogleCloudMlV1Trial	A message representing a Trial.
CGoogleCloudMlV1TrialParameter	A message representing a parameter to be tuned.
CGoogleCloudMlV1Version	Represents a version of the model
CGoogleCloudMlV1XraiAttribution	Attributes credit by computing the XRAI taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825 Currently only implemented for models with natural image inputs.
CGoogleIamV1AuditConfig	Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs
CGoogleIamV1AuditLogConfig	Provides the configuration for logging a type of permissions. Example:
CGoogleIamV1Binding	Associates members with a role.
CGoogleIamV1Policy	An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources
CGoogleIamV1SetIamPolicyRequest	Request message for SetIamPolicy method.
CGoogleIamV1TestIamPermissionsRequest	Request message for TestIamPermissions method.
CGoogleIamV1TestIamPermissionsResponse	Response message for TestIamPermissions method.
CGoogleLongrunningListOperationsResponse	The response message for Operations.ListOperations.
CGoogleLongrunningOperation	This resource represents a long-running operation that is the result of a network API call.
CGoogleProtobufEmpty	A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:
CGoogleRpcStatus	The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details
CGoogleTypeExpr	Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec
CCloudMachineLearningEngineBaseServiceRequest	A base abstract class for CloudMachineLearningEngine requests.
CCloudMachineLearningEngineService	The CloudMachineLearningEngine Service.
▼CProjectsResource	The "projects" collection of methods.
CExplainRequest	Performs explanation on the data in the request. AI Platform implements a custom explain verb on top of an HTTP POST method.
CGetConfigRequest	Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.
►CJobsResource	The "jobs" collection of methods.
CCancelRequest	Cancels a running job.
CCreateRequest	Creates a training or a batch prediction job.
CGetIamPolicyRequest	Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
CGetRequest	Describes a job.
CListRequest	Lists the jobs in the project
CPatchRequest	Updates a specific job resource
CSetIamPolicyRequest	Sets the access control policy on the specified resource. Replaces any existing policy
CTestIamPermissionsRequest	Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error
►CLocationsResource	The "locations" collection of methods.
CGetRequest	Get the complete list of CMLE capabilities in a location, along with their location-specific properties.
CListRequest	List all locations that provides at least one type of CMLE capability.
►COperationsResource	The "operations" collection of methods.
CCancelRequest	Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED.
CGetRequest	Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
►CStudiesResource	The "studies" collection of methods.
CCreateRequest	Creates a study.
CDeleteRequest	Deletes a study.
CGetRequest	Gets a study.
CListRequest	Lists all the studies in a region for an associated project.
►CTrialsResource	The "trials" collection of methods.
CAddMeasurementRequest	Adds a measurement of the objective metrics to a Trial. This measurement is assumed to have been taken before the Trial is complete.
CCheckEarlyStoppingStateRequest	Checks whether a trial should stop or not.
CCompleteRequest	Marks a Trial as complete.
CCreateRequest	Adds a user provided trial to a Study.
CDeleteRequest	Deletes a Trial.
CGetRequest	Gets a Trial.
CListRequest	Lists the trials associated with a Study.
CStopRequest	Stops a trial.
CSuggestRequest	Returns a long-running operation associated with the generation of trial suggestions.
►CModelsResource	The "models" collection of methods.
CCreateRequest	Creates a model which will later contain one or more versions
CDeleteRequest	Deletes a model
CGetIamPolicyRequest	Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
CGetRequest	Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed).
CListRequest	Lists the models in a project
CPatchRequest	Updates a specific model resource
CSetIamPolicyRequest	Sets the access control policy on the specified resource. Replaces any existing policy
CTestIamPermissionsRequest	Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error
►CVersionsResource	The "versions" collection of methods.
CCreateRequest	Creates a new version of a model from a trained TensorFlow model
CDeleteRequest	Deletes a model version
CGetRequest	Gets information about a model version
CListRequest	Gets basic information about all the versions of a model
CPatchRequest	Updates the specified Version resource
CSetDefaultRequest	Designates a version to be the default for the model
►COperationsResource	The "operations" collection of methods.
CCancelRequest	Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED.
CGetRequest	Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
CListRequest	Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns UNIMPLEMENTED
CPredictRequest	Performs online prediction on the data in the request