Module gapi_grpc::google::cloud::ml::v1 [−][src]
Modules
hyperparameter_output | |
hyperparameter_spec | |
job | |
job_service_client | Generated client implementations. |
model_service_client | Generated client implementations. |
online_prediction_service_client | Generated client implementations. |
operation_metadata | |
parameter_spec | |
prediction_input | |
project_management_service_client | Generated client implementations. |
training_input |
Structs
CancelJobRequest | Request message for the CancelJob method. |
CreateJobRequest | Request message for the CreateJob method. |
CreateModelRequest | Request message for the CreateModel method. |
CreateVersionRequest | Uploads the provided trained model version to Cloud Machine Learning. |
DeleteModelRequest | Request message for the DeleteModel method. |
DeleteVersionRequest | Request message for the DeleteVerionRequest method. |
GetConfigRequest | Requests service account information associated with a project. |
GetConfigResponse | Returns service account information associated with a project. |
GetJobRequest | Request message for the GetJob method. |
GetModelRequest | Request message for the GetModel method. |
GetVersionRequest | Request message for the GetVersion method. |
HyperparameterOutput | 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. |
HyperparameterSpec | Represents a set of hyperparameters to optimize. |
Job | Represents a training or prediction job. |
ListJobsRequest | Request message for the ListJobs method. |
ListJobsResponse | Response message for the ListJobs method. |
ListModelsRequest | Request message for the ListModels method. |
ListModelsResponse | Response message for the ListModels method. |
ListVersionsRequest | Request message for the ListVersions method. |
ListVersionsResponse | Response message for the ListVersions method. |
ManualScaling | Options for manually scaling a model. |
Model | Represents a machine learning solution. |
OperationMetadata | Represents the metadata of the long-running operation. |
ParameterSpec | Represents a single hyperparameter to optimize. |
PredictRequest | Request for predictions to be issued against a trained model. |
PredictionInput | Represents input parameters for a prediction job. |
PredictionOutput | Represents results of a prediction job. |
SetDefaultVersionRequest | Request message for the SetDefaultVersion request. |
TrainingInput | Represents input parameters for a training job. |
TrainingOutput | Represents results of a training job. Output only. |
Version | Represents a version of the model. |