# Generated by the protocol buffer compiler. DO NOT EDIT! # Source: google/cloud/aiplatform/v1/vizier_service.proto for package 'Google.Cloud.AIPlatform.V1' # Original file comments: # Copyright 2022 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # require 'grpc' require 'google/cloud/aiplatform/v1/vizier_service_pb' module Google module Cloud module AIPlatform module V1 module VizierService # Vertex AI Vizier API. # # Vertex AI Vizier is a service to solve blackbox optimization problems, # such as tuning machine learning hyperparameters and searching over deep # learning architectures. class Service include ::GRPC::GenericService self.marshal_class_method = :encode self.unmarshal_class_method = :decode self.service_name = 'google.cloud.aiplatform.v1.VizierService' # Creates a Study. A resource name will be generated after creation of the # Study. rpc :CreateStudy, ::Google::Cloud::AIPlatform::V1::CreateStudyRequest, ::Google::Cloud::AIPlatform::V1::Study # Gets a Study by name. rpc :GetStudy, ::Google::Cloud::AIPlatform::V1::GetStudyRequest, ::Google::Cloud::AIPlatform::V1::Study # Lists all the studies in a region for an associated project. rpc :ListStudies, ::Google::Cloud::AIPlatform::V1::ListStudiesRequest, ::Google::Cloud::AIPlatform::V1::ListStudiesResponse # Deletes a Study. rpc :DeleteStudy, ::Google::Cloud::AIPlatform::V1::DeleteStudyRequest, ::Google::Protobuf::Empty # Looks a study up using the user-defined display_name field instead of the # fully qualified resource name. rpc :LookupStudy, ::Google::Cloud::AIPlatform::V1::LookupStudyRequest, ::Google::Cloud::AIPlatform::V1::Study # Adds one or more Trials to a Study, with parameter values # suggested by Vertex AI Vizier. Returns a long-running # operation associated with the generation of Trial suggestions. # When this long-running operation succeeds, it will contain # a # [SuggestTrialsResponse][google.cloud.aiplatform.v1.SuggestTrialsResponse]. rpc :SuggestTrials, ::Google::Cloud::AIPlatform::V1::SuggestTrialsRequest, ::Google::Longrunning::Operation # Adds a user provided Trial to a Study. rpc :CreateTrial, ::Google::Cloud::AIPlatform::V1::CreateTrialRequest, ::Google::Cloud::AIPlatform::V1::Trial # Gets a Trial. rpc :GetTrial, ::Google::Cloud::AIPlatform::V1::GetTrialRequest, ::Google::Cloud::AIPlatform::V1::Trial # Lists the Trials associated with a Study. rpc :ListTrials, ::Google::Cloud::AIPlatform::V1::ListTrialsRequest, ::Google::Cloud::AIPlatform::V1::ListTrialsResponse # Adds a measurement of the objective metrics to a Trial. This measurement # is assumed to have been taken before the Trial is complete. rpc :AddTrialMeasurement, ::Google::Cloud::AIPlatform::V1::AddTrialMeasurementRequest, ::Google::Cloud::AIPlatform::V1::Trial # Marks a Trial as complete. rpc :CompleteTrial, ::Google::Cloud::AIPlatform::V1::CompleteTrialRequest, ::Google::Cloud::AIPlatform::V1::Trial # Deletes a Trial. rpc :DeleteTrial, ::Google::Cloud::AIPlatform::V1::DeleteTrialRequest, ::Google::Protobuf::Empty # Checks whether a Trial should stop or not. Returns a # long-running operation. When the operation is successful, # it will contain a # [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse]. rpc :CheckTrialEarlyStoppingState, ::Google::Cloud::AIPlatform::V1::CheckTrialEarlyStoppingStateRequest, ::Google::Longrunning::Operation # Stops a Trial. rpc :StopTrial, ::Google::Cloud::AIPlatform::V1::StopTrialRequest, ::Google::Cloud::AIPlatform::V1::Trial # Lists the pareto-optimal Trials for multi-objective Study or the # optimal Trials for single-objective Study. The definition of # pareto-optimal can be checked in wiki page. # https://en.wikipedia.org/wiki/Pareto_efficiency rpc :ListOptimalTrials, ::Google::Cloud::AIPlatform::V1::ListOptimalTrialsRequest, ::Google::Cloud::AIPlatform::V1::ListOptimalTrialsResponse end Stub = Service.rpc_stub_class end end end end end