Class: Google::Apis::MlV1::CloudMachineLearningEngineService
- Inherits:
-
Core::BaseService
- Object
- Core::BaseService
- Google::Apis::MlV1::CloudMachineLearningEngineService
- Defined in:
- generated/google/apis/ml_v1/service.rb
Overview
Google Cloud Machine Learning Engine
An API to enable creating and using machine learning models.
Instance Attribute Summary collapse
-
#key ⇒ String
API key.
-
#quota_user ⇒ String
Available to use for quota purposes for server-side applications.
Attributes inherited from Core::BaseService
#authorization, #base_path, #batch_path, #client, #client_options, #request_options, #root_url, #upload_path
Instance Method Summary collapse
-
#cancel_project_job(name, google_cloud_ml_v1__cancel_job_request_object = nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Cancels a running job.
-
#cancel_project_operation(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
-
#create_project_job(parent, google_cloud_ml_v1__job_object = nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Creates a training or a batch prediction job.
-
#create_project_model(parent, google_cloud_ml_v1__model_object = nil, quota_user: nil, fields: 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, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Creates a new version of a model from a trained TensorFlow model.
-
#delete_project_model(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Deletes a model.
-
#delete_project_model_version(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningOperation
Deletes a model version.
-
#delete_project_operation(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#get_project_config(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1GetConfigResponse
Get the service account information associated with your project.
-
#get_project_job(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Describes a job.
-
#get_project_model(name, quota_user: nil, fields: 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_version(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
Gets information about a model version.
-
#get_project_operation(name, quota_user: nil, fields: 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, page_size: nil, filter: nil, page_token: nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListJobsResponse
Lists the jobs in the project.
-
#list_project_model_versions(parent, page_token: nil, page_size: nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListVersionsResponse
Gets basic information about all the versions of a model.
-
#list_project_models(parent, page_token: nil, page_size: nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListModelsResponse
Lists the models in a project.
-
#list_project_operations(name, filter: nil, page_token: nil, page_size: nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#predict_project(name, google_cloud_ml_v1__predict_request_object = nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleApiHttpBody
Performs prediction on the data in the request.
-
#set_project_model_version_default(name, google_cloud_ml_v1__set_default_version_request_object = nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Version
Designates a version to be the default for the model.
Methods inherited from Core::BaseService
#batch, #batch_upload, #fetch_all, #http
Methods included from Core::Logging
Constructor Details
#initialize ⇒ CloudMachineLearningEngineService
Returns a new instance of CloudMachineLearningEngineService
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# File 'generated/google/apis/ml_v1/service.rb', line 45 def initialize super('https://ml.googleapis.com/', '') @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 'generated/google/apis/ml_v1/service.rb', line 38 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 'generated/google/apis/ml_v1/service.rb', line 43 def quota_user @quota_user end |
Instance Method Details
#cancel_project_job(name, google_cloud_ml_v1__cancel_job_request_object = nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Cancels a running job.
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# File 'generated/google/apis/ml_v1/service.rb', line 639 def cancel_project_job(name, google_cloud_ml_v1__cancel_job_request_object = nil, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#cancel_project_operation(name, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 148 def cancel_project_operation(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#create_project_job(parent, google_cloud_ml_v1__job_object = nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Creates a training or a batch prediction job.
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# File 'generated/google/apis/ml_v1/service.rb', line 749 def create_project_job(parent, google_cloud_ml_v1__job_object = nil, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#create_project_model(parent, google_cloud_ml_v1__model_object = nil, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 368 def create_project_model(parent, google_cloud_ml_v1__model_object = nil, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#create_project_model_version(parent, google_cloud_ml_v1__version_object = nil, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 563 def create_project_model_version(parent, google_cloud_ml_v1__version_object = nil, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#delete_project_model(name, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 405 def delete_project_model(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#delete_project_model_version(name, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 443 def delete_project_model_version(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#delete_project_operation(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is
no longer interested in the operation result. It does not cancel the
operation. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
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# File 'generated/google/apis/ml_v1/service.rb', line 181 def delete_project_operation(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#get_project_config(name, quota_user: nil, fields: 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 persmissions 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 'generated/google/apis/ml_v1/service.rb', line 109 def get_project_config(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#get_project_job(name, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1Job
Describes a job.
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# File 'generated/google/apis/ml_v1/service.rb', line 717 def get_project_job(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#get_project_model(name, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 332 def get_project_model(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#get_project_model_version(name, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 524 def get_project_model_version(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#get_project_operation(name, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 255 def get_project_operation(name, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#list_project_jobs(parent, page_size: nil, filter: nil, page_token: nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleCloudMlV1ListJobsResponse
Lists the jobs in the project.
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# File 'generated/google/apis/ml_v1/service.rb', line 683 def list_project_jobs(parent, page_size: nil, filter: nil, page_token: nil, quota_user: nil, fields: 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['pageSize'] = page_size unless page_size.nil? command.query['filter'] = filter unless filter.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#list_project_model_versions(parent, page_token: nil, page_size: nil, quota_user: nil, fields: 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 a lot of 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):
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# File 'generated/google/apis/ml_v1/service.rb', line 486 def list_project_model_versions(parent, page_token: nil, page_size: nil, quota_user: nil, fields: 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['pageToken'] = page_token unless page_token.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#list_project_models(parent, page_token: nil, page_size: nil, quota_user: nil, fields: 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.
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# File 'generated/google/apis/ml_v1/service.rb', line 297 def list_project_models(parent, page_token: nil, page_size: nil, quota_user: nil, fields: 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['pageToken'] = page_token unless page_token.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#list_project_operations(name, filter: nil, page_token: nil, page_size: nil, quota_user: nil, fields: 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
.
NOTE: the name
binding below allows API services to override the binding
to use different resource name schemes, such as users/*/operations
.
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# File 'generated/google/apis/ml_v1/service.rb', line 220 def list_project_operations(name, filter: nil, page_token: nil, page_size: nil, quota_user: nil, fields: 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['pageToken'] = page_token unless page_token.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#predict_project(name, google_cloud_ml_v1__predict_request_object = nil, quota_user: nil, fields: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::MlV1::GoogleApiHttpBody
Performs prediction on the data in the request. **** REMOVE FROM GENERATED DOCUMENTATION
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# File 'generated/google/apis/ml_v1/service.rb', line 73 def predict_project(name, google_cloud_ml_v1__predict_request_object = nil, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |
#set_project_model_version_default(name, google_cloud_ml_v1__set_default_version_request_object = nil, quota_user: nil, fields: 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 'generated/google/apis/ml_v1/service.rb', line 605 def set_project_model_version_default(name, google_cloud_ml_v1__set_default_version_request_object = nil, quota_user: nil, fields: 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['quotaUser'] = quota_user unless quota_user.nil? command.query['fields'] = fields unless fields.nil? execute_or_queue_command(command, &block) end |