Class: Google::Apis::MlV1::CloudMachineLearningEngineService
- Inherits:
-
Core::BaseService
- Object
- Core::BaseService
- Google::Apis::MlV1::CloudMachineLearningEngineService
- Defined in:
- lib/google/apis/ml_v1/service.rb
Overview
AI Platform Training & Prediction API
An API to enable creating and using machine learning models.
Constant Summary collapse
- DEFAULT_ENDPOINT_TEMPLATE =
"https://ml.$UNIVERSE_DOMAIN$/"
Instance Attribute Summary collapse
-
#key ⇒ String
API key.
-
#quota_user ⇒ String
Available to use for quota purposes for server-side applications.
Instance Method Summary collapse
-
#add_project_location_study_trial_measurement(name, google_cloud_ml_v1__add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Adds a measurement of the objective metrics to a trial.
-
#cancel_project_job(name, google_cloud_ml_v1__cancel_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Cancels a running job.
-
#cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
-
#cancel_project_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
-
#check_project_location_study_trial_early_stopping_state(name, google_cloud_ml_v1__check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Checks whether a trial should stop or not.
-
#complete_project_location_study_trial(name, google_cloud_ml_v1__complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Marks a trial as complete.
-
#create_project_job(parent, google_cloud_ml_v1__job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Creates a training or a batch prediction job.
-
#create_project_location_study(parent, google_cloud_ml_v1__study_object = nil, study_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Study
Creates a study.
-
#create_project_location_study_trial(parent, google_cloud_ml_v1__trial_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Adds a user provided trial to a study.
-
#create_project_model(parent, google_cloud_ml_v1__model_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Model
Creates a model which will later contain one or more versions.
-
#create_project_model_version(parent, google_cloud_ml_v1__version_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Creates a new version of a model from a trained TensorFlow model.
-
#delete_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Deletes a study.
-
#delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Deletes a trial.
-
#delete_project_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Deletes a model.
-
#delete_project_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Deletes a model version.
-
#explain_project(name, google_cloud_ml_v1__explain_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleApiHttpBody
Performs explanation on the data in the request.
-
#get_project_config(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1GetConfigResponse
Get the service account information associated with your project.
-
#get_project_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Describes a job.
-
#get_project_job_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Location
Get the complete list of CMLE capabilities in a location, along with their location-specific properties.
-
#get_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Study
Gets a study.
-
#get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Gets a trial.
-
#get_project_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Model
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).
-
#get_project_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
Gets information about a model version.
-
#get_project_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#initialize ⇒ CloudMachineLearningEngineService
constructor
A new instance of CloudMachineLearningEngineService.
-
#list_project_jobs(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListJobsResponse
Lists the jobs in the project.
-
#list_project_location_studies(parent, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListStudiesResponse
Lists all the studies in a region for an associated project.
-
#list_project_location_study_trial_optimal_trials(parent, google_cloud_ml_v1__list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListOptimalTrialsResponse
Lists the pareto-optimal trials for multi-objective study or the optimal trials for single-objective study.
-
#list_project_location_study_trials(parent, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListTrialsResponse
Lists the trials associated with a study.
-
#list_project_locations(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListLocationsResponse
List all locations that provides at least one type of CMLE capability.
-
#list_project_model_versions(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListVersionsResponse
Gets basic information about all the versions of a model.
-
#list_project_models(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListModelsResponse
Lists the models in a project.
-
#list_project_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#patch_project_job(name, google_cloud_ml_v1__job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Updates a specific job resource.
-
#patch_project_model(name, google_cloud_ml_v1__model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Updates a specific model resource.
-
#patch_project_model_version(name, google_cloud_ml_v1__version_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Updates the specified Version resource.
-
#predict_project(name, google_cloud_ml_v1__predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleApiHttpBody
Performs online prediction on the data in the request.
-
#set_project_job_iam_policy(resource, google_iam_v1__set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
-
#set_project_model_iam_policy(resource, google_iam_v1__set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
-
#set_project_model_version_default(name, google_cloud_ml_v1__set_default_version_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
Designates a version to be the default for the model.
-
#stop_project_location_study_trial(name, google_cloud_ml_v1__stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Stops a trial.
-
#suggest_project_location_study_trial(parent, google_cloud_ml_v1__suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Adds one or more trials to a study, with parameter values suggested by AI Platform Vizier.
-
#test_project_job_iam_permissions(resource, google_iam_v1__test_iam_permissions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
-
#test_project_model_iam_permissions(resource, google_iam_v1__test_iam_permissions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
Constructor Details
#initialize ⇒ CloudMachineLearningEngineService
Returns a new instance of CloudMachineLearningEngineService.
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# File 'lib/google/apis/ml_v1/service.rb', line 47 def initialize super(DEFAULT_ENDPOINT_TEMPLATE, '', client_name: 'google-apis-ml_v1', client_version: Google::Apis::MlV1::GEM_VERSION) @batch_path = 'batch' end |
Instance Attribute Details
#key ⇒ String
Returns API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
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# File 'lib/google/apis/ml_v1/service.rb', line 40 def key @key end |
#quota_user ⇒ String
Returns Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
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# File 'lib/google/apis/ml_v1/service.rb', line 45 def quota_user @quota_user end |
Instance Method Details
#add_project_location_study_trial_measurement(name, google_cloud_ml_v1__add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Adds a measurement of the objective metrics to a trial. This measurement is assumed to have been taken before the trial is complete.
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# File 'lib/google/apis/ml_v1/service.rb', line 759 def add_project_location_study_trial_measurement(name, google_cloud_ml_v1__add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:addMeasurement', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1AddTrialMeasurementRequest::Representation command.request_object = google_cloud_ml_v1__add_trial_measurement_request_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Trial::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_job(name, google_cloud_ml_v1__cancel_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Cancels a running job.
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# File 'lib/google/apis/ml_v1/service.rb', line 178 def cancel_project_job(name, google_cloud_ml_v1__cancel_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1CancelJobRequest::Representation command.request_object = google_cloud_ml_v1__cancel_job_request_object command.response_representation = Google::Apis::MlV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::MlV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
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
.
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# File 'lib/google/apis/ml_v1/service.rb', line 567 def cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::MlV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::MlV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
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
.
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# File 'lib/google/apis/ml_v1/service.rb', line 1636 def cancel_project_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::MlV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::MlV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#check_project_location_study_trial_early_stopping_state(name, google_cloud_ml_v1__check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Checks whether a trial should stop or not. Returns a long-running operation. When the operation is successful, it will contain a CheckTrialEarlyStoppingStateResponse.
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# File 'lib/google/apis/ml_v1/service.rb', line 794 def check_project_location_study_trial_early_stopping_state(name, google_cloud_ml_v1__check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:checkEarlyStoppingState', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest::Representation command.request_object = google_cloud_ml_v1__check_trial_early_stopping_state_request_object command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#complete_project_location_study_trial(name, google_cloud_ml_v1__complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Marks a trial as complete.
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# File 'lib/google/apis/ml_v1/service.rb', line 827 def complete_project_location_study_trial(name, google_cloud_ml_v1__complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:complete', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1CompleteTrialRequest::Representation command.request_object = google_cloud_ml_v1__complete_trial_request_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Trial::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_job(parent, google_cloud_ml_v1__job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Creates a training or a batch prediction job.
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# File 'lib/google/apis/ml_v1/service.rb', line 211 def create_project_job(parent, google_cloud_ml_v1__job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/jobs', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Job::Representation command.request_object = google_cloud_ml_v1__job_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Job::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Job command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_study(parent, google_cloud_ml_v1__study_object = nil, study_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Study
Creates a study.
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# File 'lib/google/apis/ml_v1/service.rb', line 633 def create_project_location_study(parent, google_cloud_ml_v1__study_object = nil, study_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/studies', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Study::Representation command.request_object = google_cloud_ml_v1__study_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Study::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Study command.params['parent'] = parent unless parent.nil? command.query['studyId'] = study_id unless study_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_study_trial(parent, google_cloud_ml_v1__trial_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Adds a user provided trial to a study.
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# File 'lib/google/apis/ml_v1/service.rb', line 860 def create_project_location_study_trial(parent, google_cloud_ml_v1__trial_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/trials', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Trial::Representation command.request_object = google_cloud_ml_v1__trial_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Trial::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Trial command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_model(parent, google_cloud_ml_v1__model_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Model
Creates a model which will later contain one or more versions. You must add at least one version before you can request predictions from the model. Add versions by calling projects.models.versions.create.
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# File 'lib/google/apis/ml_v1/service.rb', line 1089 def create_project_model(parent, google_cloud_ml_v1__model_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/models', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Model::Representation command.request_object = google_cloud_ml_v1__model_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Model::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Model command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_model_version(parent, google_cloud_ml_v1__version_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Creates a new version of a model from a trained TensorFlow model. If the version created in the cloud by this call is the first deployed version of the specified model, it will be made the default version of the model. When you add a version to a model that already has one or more versions, the default version does not automatically change. If you want a new version to be the default, you must call projects.models.versions.setDefault.
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# File 'lib/google/apis/ml_v1/service.rb', line 1399 def create_project_model_version(parent, google_cloud_ml_v1__version_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/versions', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Version::Representation command.request_object = google_cloud_ml_v1__version_object command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Deletes a study.
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# File 'lib/google/apis/ml_v1/service.rb', line 666 def delete_project_location_study(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::MlV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Deletes a trial.
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# File 'lib/google/apis/ml_v1/service.rb', line 892 def delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::MlV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Deletes a model. You can only delete a model if there are no versions in it. You can delete versions by calling projects.models.versions.delete.
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# File 'lib/google/apis/ml_v1/service.rb', line 1122 def delete_project_model(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Deletes a model version. Each model can have multiple versions deployed and in use at any given time. Use this method to remove a single version. Note: You cannot delete the version that is set as the default version of the model unless it is the only remaining version.
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# File 'lib/google/apis/ml_v1/service.rb', line 1435 def delete_project_model_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#explain_project(name, google_cloud_ml_v1__explain_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleApiHttpBody
Performs explanation on the data in the request. % dynamic include "/ai-
platform/includes/___explain-request" %
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# File 'lib/google/apis/ml_v1/service.rb', line 77 def explain_project(name, google_cloud_ml_v1__explain_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:explain', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1ExplainRequest::Representation command.request_object = google_cloud_ml_v1__explain_request_object command.response_representation = Google::Apis::MlV1::GoogleApiHttpBody::Representation command.response_class = Google::Apis::MlV1::GoogleApiHttpBody command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_config(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1GetConfigResponse
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.
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# File 'lib/google/apis/ml_v1/service.rb', line 112 def get_project_config(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}:getConfig', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1GetConfigResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1GetConfigResponse command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Describes a job.
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# File 'lib/google/apis/ml_v1/service.rb', line 243 def get_project_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Job::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Job command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_job_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/ml_v1/service.rb', line 287 def get_project_job_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::MlV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::MlV1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['options.requestedPolicyVersion'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Location
Get the complete list of CMLE capabilities in a location, along with their location-specific properties.
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# File 'lib/google/apis/ml_v1/service.rb', line 489 def get_project_location(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Location::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Location command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
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.
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# File 'lib/google/apis/ml_v1/service.rb', line 598 def get_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Study
Gets a study.
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# File 'lib/google/apis/ml_v1/service.rb', line 696 def get_project_location_study(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Study::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Study command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Gets a trial.
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# File 'lib/google/apis/ml_v1/service.rb', line 922 def get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Trial::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Model
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).
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# File 'lib/google/apis/ml_v1/service.rb', line 1154 def get_project_model(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Model::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Model command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/ml_v1/service.rb', line 1198 def get_project_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::MlV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::MlV1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['options.requestedPolicyVersion'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
Gets information about a model version. Models can have multiple versions. You can call projects.models.versions.list to get the same information that this method returns for all of the versions of a model.
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# File 'lib/google/apis/ml_v1/service.rb', line 1467 def get_project_model_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Version::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Version command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
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.
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# File 'lib/google/apis/ml_v1/service.rb', line 1667 def get_project_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_jobs(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListJobsResponse
Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: ``.
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# File 'lib/google/apis/ml_v1/service.rb', line 334 def list_project_jobs(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/jobs', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1ListJobsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1ListJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_studies(parent, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListStudiesResponse
Lists all the studies in a region for an associated project.
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# File 'lib/google/apis/ml_v1/service.rb', line 727 def list_project_location_studies(parent, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/studies', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1ListStudiesResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1ListStudiesResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_study_trial_optimal_trials(parent, google_cloud_ml_v1__list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListOptimalTrialsResponse
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
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# File 'lib/google/apis/ml_v1/service.rb', line 985 def list_project_location_study_trial_optimal_trials(parent, google_cloud_ml_v1__list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/trials:listOptimalTrials', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1ListOptimalTrialsRequest::Representation command.request_object = google_cloud_ml_v1__list_optimal_trials_request_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1ListOptimalTrialsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1ListOptimalTrialsResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_study_trials(parent, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListTrialsResponse
Lists the trials associated with a study.
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# File 'lib/google/apis/ml_v1/service.rb', line 952 def list_project_location_study_trials(parent, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/trials', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1ListTrialsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1ListTrialsResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_locations(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListLocationsResponse
List all locations that provides at least one type of CMLE capability.
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# File 'lib/google/apis/ml_v1/service.rb', line 528 def list_project_locations(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/locations', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1ListLocationsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1ListLocationsResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_model_versions(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListVersionsResponse
Gets basic information about all the versions of a model. If you expect that a model has many versions, or if you need to handle only a limited number of results at a time, you can request that the list be retrieved in batches ( called pages). If there are no versions that match the request parameters, the list request returns an empty response body: ``.
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# File 'lib/google/apis/ml_v1/service.rb', line 1511 def list_project_model_versions(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/versions', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1ListVersionsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1ListVersionsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_models(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListModelsResponse
Lists the models in a project. Each project can contain multiple models, and each model can have multiple versions. If there are no models that match the request parameters, the list request returns an empty response body: ``.
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# File 'lib/google/apis/ml_v1/service.rb', line 1241 def list_project_models(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/models', ) command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1ListModelsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1ListModelsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED
.
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# File 'lib/google/apis/ml_v1/service.rb', line 1704 def list_project_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::MlV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_job(name, google_cloud_ml_v1__job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Updates a specific job resource. Currently the only supported fields to update
are labels
.
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# File 'lib/google/apis/ml_v1/service.rb', line 379 def patch_project_job(name, google_cloud_ml_v1__job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Job::Representation command.request_object = google_cloud_ml_v1__job_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Job::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Job command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_model(name, google_cloud_ml_v1__model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Updates a specific model resource. Currently the only supported fields to
update are description
and default_version.name
.
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# File 'lib/google/apis/ml_v1/service.rb', line 1284 def patch_project_model(name, google_cloud_ml_v1__model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Model::Representation command.request_object = google_cloud_ml_v1__model_object command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_model_version(name, google_cloud_ml_v1__version_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Updates the specified Version resource. Currently the only update-able fields
are description
, requestLoggingConfig
, autoScaling.minNodes
, and
manualScaling.nodes
.
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# File 'lib/google/apis/ml_v1/service.rb', line 1557 def patch_project_model_version(name, google_cloud_ml_v1__version_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1Version::Representation command.request_object = google_cloud_ml_v1__version_object command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#predict_project(name, google_cloud_ml_v1__predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleApiHttpBody
Performs online prediction on the data in the request. % dynamic include "/ai-
platform/includes/___predict-request" %
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# File 'lib/google/apis/ml_v1/service.rb', line 145 def predict_project(name, google_cloud_ml_v1__predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:predict', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1PredictRequest::Representation command.request_object = google_cloud_ml_v1__predict_request_object command.response_representation = Google::Apis::MlV1::GoogleApiHttpBody::Representation command.response_class = Google::Apis::MlV1::GoogleApiHttpBody command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_job_iam_policy(resource, google_iam_v1__set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Sets the access control policy on the specified resource. Replaces any
existing policy. Can return NOT_FOUND
, INVALID_ARGUMENT
, and
PERMISSION_DENIED
errors.
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# File 'lib/google/apis/ml_v1/service.rb', line 417 def set_project_job_iam_policy(resource, google_iam_v1__set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::MlV1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1__set_iam_policy_request_object command.response_representation = Google::Apis::MlV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::MlV1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_model_iam_policy(resource, google_iam_v1__set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1Policy
Sets the access control policy on the specified resource. Replaces any
existing policy. Can return NOT_FOUND
, INVALID_ARGUMENT
, and
PERMISSION_DENIED
errors.
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# File 'lib/google/apis/ml_v1/service.rb', line 1322 def set_project_model_iam_policy(resource, google_iam_v1__set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::MlV1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1__set_iam_policy_request_object command.response_representation = Google::Apis::MlV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::MlV1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_model_version_default(name, google_cloud_ml_v1__set_default_version_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
Designates a version to be the default for the model. The default version is used for prediction requests made against the model that don't specify a version. The first version to be created for a model is automatically set as the default. You must make any subsequent changes to the default version setting manually using this method.
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# File 'lib/google/apis/ml_v1/service.rb', line 1597 def set_project_model_version_default(name, google_cloud_ml_v1__set_default_version_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:setDefault', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1SetDefaultVersionRequest::Representation command.request_object = google_cloud_ml_v1__set_default_version_request_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Version::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Version command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#stop_project_location_study_trial(name, google_cloud_ml_v1__stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Trial
Stops a trial.
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# File 'lib/google/apis/ml_v1/service.rb', line 1018 def stop_project_location_study_trial(name, google_cloud_ml_v1__stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:stop', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1StopTrialRequest::Representation command.request_object = google_cloud_ml_v1__stop_trial_request_object command.response_representation = Google::Apis::MlV1::GoogleCloudMlV1Trial::Representation command.response_class = Google::Apis::MlV1::GoogleCloudMlV1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#suggest_project_location_study_trial(parent, google_cloud_ml_v1__suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Adds one or more trials to a study, with parameter values suggested by AI Platform Vizier. Returns a long-running operation associated with the generation of trial suggestions. When this long-running operation succeeds, it will contain a SuggestTrialsResponse.
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# File 'lib/google/apis/ml_v1/service.rb', line 1054 def suggest_project_location_study_trial(parent, google_cloud_ml_v1__suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/trials:suggest', ) command.request_representation = Google::Apis::MlV1::GoogleCloudMlV1SuggestTrialsRequest::Representation command.request_object = google_cloud_ml_v1__suggest_trials_request_object command.response_representation = Google::Apis::MlV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::MlV1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#test_project_job_iam_permissions(resource, google_iam_v1__test_iam_permissions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse
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. Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for authorization checking.
This operation may "fail open" without warning.
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# File 'lib/google/apis/ml_v1/service.rb', line 456 def (resource, = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:testIamPermissions', ) command.request_representation = Google::Apis::MlV1::GoogleIamV1TestIamPermissionsRequest::Representation command.request_object = command.response_representation = Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#test_project_model_iam_permissions(resource, google_iam_v1__test_iam_permissions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse
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. Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for authorization checking.
This operation may "fail open" without warning.
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# File 'lib/google/apis/ml_v1/service.rb', line 1361 def (resource, = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:testIamPermissions', ) command.request_representation = Google::Apis::MlV1::GoogleIamV1TestIamPermissionsRequest::Representation command.request_object = command.response_representation = Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::MlV1::GoogleIamV1TestIamPermissionsResponse command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |