Class: Google::Cloud::AutoML::V1::AutoML::Rest::Client

Inherits:
Object
  • Object
show all
Includes:
Paths
Defined in:
lib/google/cloud/automl/v1/automl/rest/client.rb

Overview

REST client for the AutoMl service.

AutoML Server API.

The resource names are assigned by the server. The server never reuses names that it has created after the resources with those names are deleted.

An ID of a resource is the last element of the item's resource name. For projects/{project_id}/locations/{location_id}/datasets/{dataset_id}, then the id for the item is {dataset_id}.

Currently the only supported location_id is "us-central1".

On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#annotation_spec_path, #dataset_path, #location_path, #model_evaluation_path, #model_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new AutoMl REST client object.

Examples:


# Create a client using the default configuration
client = ::Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a client using a custom configuration
client = ::Google::Cloud::AutoML::V1::AutoML::Rest::Client.new do |config|
  config.timeout = 10.0
end

Yields:

  • (config) —

    Configure the AutoMl client.

Yield Parameters:



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 202

def initialize
  # Create the configuration object
  @config = Configuration.new Client.configure

  # Yield the configuration if needed
  yield @config if block_given?

  # Create credentials
  credentials = @config.credentials
  # Use self-signed JWT if the endpoint is unchanged from default,
  # but only if the default endpoint does not have a region prefix.
  enable_self_signed_jwt = @config.endpoint.nil? ||
                           (@config.endpoint == Configuration::DEFAULT_ENDPOINT &&
                           !@config.endpoint.split(".").first.include?("-"))
  credentials ||= Credentials.default scope: @config.scope,
                                      enable_self_signed_jwt: enable_self_signed_jwt
  if credentials.is_a?(::String) || credentials.is_a?(::Hash)
    credentials = Credentials.new credentials, scope: @config.scope
  end

  @quota_project_id = @config.quota_project
  @quota_project_id ||= credentials.quota_project_id if credentials.respond_to? :quota_project_id

  @operations_client = ::Google::Cloud::AutoML::V1::AutoML::Rest::Operations.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
    config.universe_domain = @config.universe_domain
  end

  @auto_ml_stub = ::Google::Cloud::AutoML::V1::AutoML::Rest::ServiceStub.new(
    endpoint: @config.endpoint,
    endpoint_template: DEFAULT_ENDPOINT_TEMPLATE,
    universe_domain: @config.universe_domain,
    credentials: credentials
  )
end

Instance Attribute Details

#operations_client ⇒ ::Google::Cloud::AutoML::V1::AutoML::Rest::Operations (readonly)

Get the associated client for long-running operations.

Returns:



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 245

def operations_client
  @operations_client
end

Class Method Details

.configure {|config| ... } ⇒ Client::Configuration

Configure the AutoMl Client class.

See Configuration for a description of the configuration fields.

Examples:


# Modify the configuration for all AutoMl clients
::Google::Cloud::AutoML::V1::AutoML::Rest::Client.configure do |config|
  config.timeout = 10.0
end

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 77

def self.configure
  @configure ||= begin
    namespace = ["Google", "Cloud", "AutoML", "V1"]
    parent_config = while namespace.any?
                      parent_name = namespace.join "::"
                      parent_const = const_get parent_name
                      break parent_const.configure if parent_const.respond_to? :configure
                      namespace.pop
                    end
    default_config = Client::Configuration.new parent_config

    default_config.rpcs.create_dataset.timeout = 5.0

    default_config.rpcs.get_dataset.timeout = 5.0
    default_config.rpcs.get_dataset.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.list_datasets.timeout = 5.0
    default_config.rpcs.list_datasets.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.update_dataset.timeout = 5.0

    default_config.rpcs.delete_dataset.timeout = 5.0
    default_config.rpcs.delete_dataset.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.import_data.timeout = 5.0

    default_config.rpcs.export_data.timeout = 5.0

    default_config.rpcs.get_annotation_spec.timeout = 5.0
    default_config.rpcs.get_annotation_spec.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.create_model.timeout = 5.0

    default_config.rpcs.get_model.timeout = 5.0
    default_config.rpcs.get_model.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.list_models.timeout = 5.0
    default_config.rpcs.list_models.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.delete_model.timeout = 5.0
    default_config.rpcs.delete_model.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.update_model.timeout = 5.0

    default_config.rpcs.deploy_model.timeout = 5.0

    default_config.rpcs.undeploy_model.timeout = 5.0

    default_config.rpcs.export_model.timeout = 5.0

    default_config.rpcs.get_model_evaluation.timeout = 5.0
    default_config.rpcs.get_model_evaluation.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config.rpcs.list_model_evaluations.timeout = 5.0
    default_config.rpcs.list_model_evaluations.retry_policy = {
      initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
    }

    default_config
  end
  yield @configure if block_given?
  @configure
end

Instance Method Details

#configure {|config| ... } ⇒ Client::Configuration

Configure the AutoMl Client instance.

The configuration is set to the derived mode, meaning that values can be changed, but structural changes (adding new fields, etc.) are not allowed. Structural changes should be made on configure.

See Configuration for a description of the configuration fields.

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 172

def configure
  yield @config if block_given?
  @config
end

#create_dataset(request, options = nil) ⇒ ::Gapic::Operation #create_dataset(parent: nil, dataset: nil) ⇒ ::Gapic::Operation

Creates a dataset.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::CreateDatasetRequest.new

# Call the create_dataset method.
result = client.create_dataset request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #create_dataset(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to create_dataset via a request object, either of type CreateDatasetRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::CreateDatasetRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #create_dataset(parent: nil, dataset: nil) ⇒ ::Gapic::Operation

    Pass arguments to create_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the project to create the dataset for.

    • dataset (::Google::Cloud::AutoML::V1::Dataset, ::Hash) (defaults to: nil) —

      Required. The dataset to create.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 301

def create_dataset request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::CreateDatasetRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.create_dataset.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.create_dataset.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.create_dataset.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.create_dataset request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#create_model(request, options = nil) ⇒ ::Gapic::Operation #create_model(parent: nil, model: nil) ⇒ ::Gapic::Operation

Creates a model. Returns a Model in the response field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::CreateModelRequest.new

# Call the create_model method.
result = client.create_model request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #create_model(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to create_model via a request object, either of type CreateModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::CreateModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #create_model(parent: nil, model: nil) ⇒ ::Gapic::Operation

    Pass arguments to create_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. Resource name of the parent project where the model is being created.

    • model (::Google::Cloud::AutoML::V1::Model, ::Hash) (defaults to: nil) —

      Required. The model to create.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1014

def create_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::CreateModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.create_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.create_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.create_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.create_model request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#delete_dataset(request, options = nil) ⇒ ::Gapic::Operation #delete_dataset(name: nil) ⇒ ::Gapic::Operation

Deletes a dataset and all of its contents. Returns empty response in the response field when it completes, and delete_details in the metadata field.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::DeleteDatasetRequest.new

# Call the delete_dataset method.
result = client.delete_dataset request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #delete_dataset(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_dataset via a request object, either of type DeleteDatasetRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::DeleteDatasetRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #delete_dataset(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The resource name of the dataset to delete.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 652

def delete_dataset request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::DeleteDatasetRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.delete_dataset.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.delete_dataset.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.delete_dataset.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.delete_dataset request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#delete_model(request, options = nil) ⇒ ::Gapic::Operation #delete_model(name: nil) ⇒ ::Gapic::Operation

Deletes a model. Returns google.protobuf.Empty in the response field when it completes, and delete_details in the metadata field.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::DeleteModelRequest.new

# Call the delete_model method.
result = client.delete_model request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #delete_model(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_model via a request object, either of type DeleteModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::DeleteModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #delete_model(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. Resource name of the model being deleted.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1285

def delete_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::DeleteModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.delete_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.delete_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.delete_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.delete_model request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#deploy_model(request, options = nil) ⇒ ::Gapic::Operation #deploy_model(image_object_detection_model_deployment_metadata: nil, image_classification_model_deployment_metadata: nil, name: nil) ⇒ ::Gapic::Operation

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the response field when it completes.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::DeployModelRequest.new

# Call the deploy_model method.
result = client.deploy_model request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #deploy_model(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to deploy_model via a request object, either of type DeployModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::DeployModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #deploy_model(image_object_detection_model_deployment_metadata: nil, image_classification_model_deployment_metadata: nil, name: nil) ⇒ ::Gapic::Operation

    Pass arguments to deploy_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1467

def deploy_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::DeployModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.deploy_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.deploy_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.deploy_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.deploy_model request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#export_data(request, options = nil) ⇒ ::Gapic::Operation #export_data(name: nil, output_config: nil) ⇒ ::Gapic::Operation

Exports dataset's data to the provided output location. Returns an empty response in the response field when it completes.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ExportDataRequest.new

# Call the export_data method.
result = client.export_data request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #export_data(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to export_data via a request object, either of type ExportDataRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::ExportDataRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #export_data(name: nil, output_config: nil) ⇒ ::Gapic::Operation

    Pass arguments to export_data via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The resource name of the dataset.

    • output_config (::Google::Cloud::AutoML::V1::OutputConfig, ::Hash) (defaults to: nil) —

      Required. The desired output location.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 842

def export_data request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ExportDataRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.export_data.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.export_data.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.export_data.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.export_data request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#export_model(request, options = nil) ⇒ ::Gapic::Operation #export_model(name: nil, output_config: nil) ⇒ ::Gapic::Operation

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in ModelExportOutputConfig.

Returns an empty response in the response field when it completes.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ExportModelRequest.new

# Call the export_model method.
result = client.export_model request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #export_model(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to export_model via a request object, either of type ExportModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::ExportModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #export_model(name: nil, output_config: nil) ⇒ ::Gapic::Operation

    Pass arguments to export_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1655

def export_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ExportModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.export_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.export_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.export_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.export_model request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_annotation_spec(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::AnnotationSpec #get_annotation_spec(name: nil) ⇒ ::Google::Cloud::AutoML::V1::AnnotationSpec

Gets an annotation spec.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetAnnotationSpecRequest.new

# Call the get_annotation_spec method.
result = client.get_annotation_spec request

# The returned object is of type Google::Cloud::AutoML::V1::AnnotationSpec.
p result

Overloads:

  • #get_annotation_spec(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::AnnotationSpec

    Pass arguments to get_annotation_spec via a request object, either of type GetAnnotationSpecRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::GetAnnotationSpecRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #get_annotation_spec(name: nil) ⇒ ::Google::Cloud::AutoML::V1::AnnotationSpec

    Pass arguments to get_annotation_spec via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The resource name of the annotation spec to retrieve.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 922

def get_annotation_spec request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetAnnotationSpecRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.get_annotation_spec.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.get_annotation_spec.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.get_annotation_spec.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.get_annotation_spec request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_dataset(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset #get_dataset(name: nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset

Gets a dataset.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetDatasetRequest.new

# Call the get_dataset method.
result = client.get_dataset request

# The returned object is of type Google::Cloud::AutoML::V1::Dataset.
p result

Overloads:

  • #get_dataset(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset

    Pass arguments to get_dataset via a request object, either of type GetDatasetRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::GetDatasetRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #get_dataset(name: nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset

    Pass arguments to get_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The resource name of the dataset to retrieve.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 381

def get_dataset request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetDatasetRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.get_dataset.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.get_dataset.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.get_dataset.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.get_dataset request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_model(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Model #get_model(name: nil) ⇒ ::Google::Cloud::AutoML::V1::Model

Gets a model.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetModelRequest.new

# Call the get_model method.
result = client.get_model request

# The returned object is of type Google::Cloud::AutoML::V1::Model.
p result

Overloads:

  • #get_model(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Model

    Pass arguments to get_model via a request object, either of type GetModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::GetModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #get_model(name: nil) ⇒ ::Google::Cloud::AutoML::V1::Model

    Pass arguments to get_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. Resource name of the model.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1094

def get_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.get_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.get_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.get_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.get_model request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_model_evaluation(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::ModelEvaluation #get_model_evaluation(name: nil) ⇒ ::Google::Cloud::AutoML::V1::ModelEvaluation

Gets a model evaluation.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::GetModelEvaluationRequest.new

# Call the get_model_evaluation method.
result = client.get_model_evaluation request

# The returned object is of type Google::Cloud::AutoML::V1::ModelEvaluation.
p result

Overloads:

  • #get_model_evaluation(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::ModelEvaluation

    Pass arguments to get_model_evaluation via a request object, either of type GetModelEvaluationRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::GetModelEvaluationRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #get_model_evaluation(name: nil) ⇒ ::Google::Cloud::AutoML::V1::ModelEvaluation

    Pass arguments to get_model_evaluation via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. Resource name for the model evaluation.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1735

def get_model_evaluation request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetModelEvaluationRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.get_model_evaluation.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.get_model_evaluation.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.get_model_evaluation.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.get_model_evaluation request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#import_data(request, options = nil) ⇒ ::Gapic::Operation #import_data(name: nil, input_config: nil) ⇒ ::Gapic::Operation

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ImportDataRequest.new

# Call the import_data method.
result = client.import_data request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #import_data(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to import_data via a request object, either of type ImportDataRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::ImportDataRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #import_data(name: nil, input_config: nil) ⇒ ::Gapic::Operation

    Pass arguments to import_data via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.

    • input_config (::Google::Cloud::AutoML::V1::InputConfig, ::Hash) (defaults to: nil) —

      Required. The desired input location and its domain specific semantics, if any.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 751

def import_data request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ImportDataRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.import_data.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.import_data.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.import_data.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.import_data request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_datasets(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset> #list_datasets(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>

Lists datasets in a project.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ListDatasetsRequest.new

# Call the list_datasets method.
result = client.list_datasets request

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AutoML::V1::Dataset.
  p item
end

Overloads:

  • #list_datasets(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>

    Pass arguments to list_datasets via a request object, either of type ListDatasetsRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::ListDatasetsRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #list_datasets(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>

    Pass arguments to list_datasets via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the project from which to list datasets.

    • filter (::String) (defaults to: nil) —

      An expression for filtering the results of the request.

      • dataset_metadata - for existence of the case (e.g. image_classification_dataset_metadata:*). Some examples of using the filter are:

      • translation_dataset_metadata:* --> The dataset has translation_dataset_metadata.

    • page_size (::Integer) (defaults to: nil) —

      Requested page size. Server may return fewer results than requested. If unspecified, server will pick a default size.

    • page_token (::String) (defaults to: nil) —

      A token identifying a page of results for the server to return Typically obtained via ListDatasetsResponse.next_page_token of the previous AutoMl.ListDatasets call.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 480

def list_datasets request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ListDatasetsRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.list_datasets.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.list_datasets.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.list_datasets.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.list_datasets request, options do |result, operation|
    result = ::Gapic::Rest::PagedEnumerable.new @auto_ml_stub, :list_datasets, "datasets", request, result, options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_model_evaluations(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation> #list_model_evaluations(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>

Lists model evaluations.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ListModelEvaluationsRequest.new

# Call the list_model_evaluations method.
result = client.list_model_evaluations request

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AutoML::V1::ModelEvaluation.
  p item
end

Overloads:

  • #list_model_evaluations(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>

    Pass arguments to list_model_evaluations via a request object, either of type ListModelEvaluationsRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::ListModelEvaluationsRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #list_model_evaluations(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>

    Pass arguments to list_model_evaluations via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.

    • filter (::String) (defaults to: nil) —

      Required. An expression for filtering the results of the request.

      • annotation_spec_id - for =, != or existence. See example below for the last.

      Some examples of using the filter are:

      • annotation_spec_id!=4 --> The model evaluation was done for annotation spec with ID different than 4.
      • NOT annotation_spec_id:* --> The model evaluation was done for aggregate of all annotation specs.
    • page_size (::Integer) (defaults to: nil) —

      Requested page size.

    • page_token (::String) (defaults to: nil) —

      A token identifying a page of results for the server to return. Typically obtained via ListModelEvaluationsResponse.next_page_token of the previous AutoMl.ListModelEvaluations call.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1839

def list_model_evaluations request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ListModelEvaluationsRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.list_model_evaluations.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.list_model_evaluations.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.list_model_evaluations.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.list_model_evaluations request, options do |result, operation|
    result = ::Gapic::Rest::PagedEnumerable.new @auto_ml_stub, :list_model_evaluations, "model_evaluation", request, result, options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_models(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Model> #list_models(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>

Lists models.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::ListModelsRequest.new

# Call the list_models method.
result = client.list_models request

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AutoML::V1::Model.
  p item
end

Overloads:

  • #list_models(request, options = nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>

    Pass arguments to list_models via a request object, either of type ListModelsRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::ListModelsRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #list_models(parent: nil, filter: nil, page_size: nil, page_token: nil) ⇒ ::Gapic::Rest::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>

    Pass arguments to list_models via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. Resource name of the project, from which to list the models.

    • filter (::String) (defaults to: nil) —

      An expression for filtering the results of the request.

      • model_metadata - for existence of the case (e.g. video_classification_model_metadata:*).

      • dataset_id - for = or !=. Some examples of using the filter are:

      • image_classification_model_metadata:* --> The model has image_classification_model_metadata.

      • dataset_id=5 --> The model was created from a dataset with ID 5.

    • page_size (::Integer) (defaults to: nil) —

      Requested page size.

    • page_token (::String) (defaults to: nil) —

      A token identifying a page of results for the server to return Typically obtained via ListModelsResponse.next_page_token of the previous AutoMl.ListModels call.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1194

def list_models request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ListModelsRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.list_models.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.list_models.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.list_models.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.list_models request, options do |result, operation|
    result = ::Gapic::Rest::PagedEnumerable.new @auto_ml_stub, :list_models, "model", request, result, options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#undeploy_model(request, options = nil) ⇒ ::Gapic::Operation #undeploy_model(name: nil) ⇒ ::Gapic::Operation

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the response field when it completes.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::UndeployModelRequest.new

# Call the undeploy_model method.
result = client.undeploy_model request

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

Overloads:

  • #undeploy_model(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to undeploy_model via a request object, either of type UndeployModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::UndeployModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #undeploy_model(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to undeploy_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. Resource name of the model to undeploy.

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

  • result (::Gapic::Operation)
  • operation (::Gapic::Rest::TransportOperation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1560

def undeploy_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::UndeployModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.undeploy_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.undeploy_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.undeploy_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.undeploy_model request, options do |result, operation|
    result = ::Gapic::Operation.new result, @operations_client, options: options
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#universe_domain ⇒ String

The effective universe domain

Returns:

  • (String) 


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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 182

def universe_domain
  @auto_ml_stub.universe_domain
end

#update_dataset(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset #update_dataset(dataset: nil, update_mask: nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset

Updates a dataset.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::UpdateDatasetRequest.new

# Call the update_dataset method.
result = client.update_dataset request

# The returned object is of type Google::Cloud::AutoML::V1::Dataset.
p result

Overloads:

  • #update_dataset(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset

    Pass arguments to update_dataset via a request object, either of type UpdateDatasetRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::UpdateDatasetRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #update_dataset(dataset: nil, update_mask: nil) ⇒ ::Google::Cloud::AutoML::V1::Dataset

    Pass arguments to update_dataset via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 562

def update_dataset request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::UpdateDatasetRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.update_dataset.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.update_dataset.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.update_dataset.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.update_dataset request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end

#update_model(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Model #update_model(model: nil, update_mask: nil) ⇒ ::Google::Cloud::AutoML::V1::Model

Updates a model.

Examples:

Basic example

require "google/cloud/automl/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1::AutoML::Rest::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1::UpdateModelRequest.new

# Call the update_model method.
result = client.update_model request

# The returned object is of type Google::Cloud::AutoML::V1::Model.
p result

Overloads:

  • #update_model(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::Model

    Pass arguments to update_model via a request object, either of type UpdateModelRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::UpdateModelRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries etc. Optional.

  • #update_model(model: nil, update_mask: nil) ⇒ ::Google::Cloud::AutoML::V1::Model

    Pass arguments to update_model via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

Yields:

  • (result, operation) —

    Access the result along with the TransportOperation object

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the REST call is aborted.



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# File 'lib/google/cloud/automl/v1/automl/rest/client.rb', line 1367

def update_model request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::UpdateModelRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  call_metadata = @config.rpcs.update_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  call_metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION,
    transports_version_send: [:rest]

  call_metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  call_metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  options.apply_defaults timeout:      @config.rpcs.update_model.timeout,
                         metadata:     call_metadata,
                         retry_policy: @config.rpcs.update_model.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @auto_ml_stub.update_model request, options do |result, operation|
    yield result, operation if block_given?
    return result
  end
rescue ::Gapic::Rest::Error => e
  raise ::Google::Cloud::Error.from_error(e)
end