Class: Google::Cloud::AIPlatform::V1::ModelService::Client

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

Overview

Client for the ModelService service.

A service for managing Vertex AI's machine learning Models.

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#endpoint_path, #location_path, #model_evaluation_path, #model_evaluation_slice_path, #model_path, #pipeline_job_path, #training_pipeline_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new ModelService client object.

Examples:


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

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

Yields:

  • (config) —

    Configure the ModelService client.

Yield Parameters:



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 126

def initialize
  # These require statements are intentionally placed here to initialize
  # the gRPC module only when it's required.
  # See https://github.com/googleapis/toolkit/issues/446
  require "gapic/grpc"
  require "google/cloud/aiplatform/v1/model_service_services_pb"

  # 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 = Operations.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
    config.universe_domain = @config.universe_domain
  end

  @model_service_stub = ::Gapic::ServiceStub.new(
    ::Google::Cloud::AIPlatform::V1::ModelService::Stub,
    credentials: credentials,
    endpoint: @config.endpoint,
    endpoint_template: DEFAULT_ENDPOINT_TEMPLATE,
    universe_domain: @config.universe_domain,
    channel_args: @config.channel_args,
    interceptors: @config.interceptors,
    channel_pool_config: @config.channel_pool,
    logger: @config.logger
  )

  @model_service_stub.stub_logger&.info do |entry|
    entry.set_system_name
    entry.set_service
    entry.message = "Created client for #{entry.service}"
    entry.set_credentials_fields credentials
    entry.set "customEndpoint", @config.endpoint if @config.endpoint
    entry.set "defaultTimeout", @config.timeout if @config.timeout
    entry.set "quotaProject", @quota_project_id if @quota_project_id
  end

  @location_client = Google::Cloud::Location::Locations::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @model_service_stub.endpoint
    config.universe_domain = @model_service_stub.universe_domain
    config.logger = @model_service_stub.logger if config.respond_to? :logger=
  end

  @iam_policy_client = Google::Iam::V1::IAMPolicy::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @model_service_stub.endpoint
    config.universe_domain = @model_service_stub.universe_domain
    config.logger = @model_service_stub.logger if config.respond_to? :logger=
  end
end

Instance Attribute Details

#iam_policy_client ⇒ Google::Iam::V1::IAMPolicy::Client (readonly)

Get the associated client for mix-in of the IAMPolicy.

Returns:

  • (Google::Iam::V1::IAMPolicy::Client) 


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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 219

def iam_policy_client
  @iam_policy_client
end

#location_client ⇒ Google::Cloud::Location::Locations::Client (readonly)

Get the associated client for mix-in of the Locations.

Returns:

  • (Google::Cloud::Location::Locations::Client) 


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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 212

def location_client
  @location_client
end

#operations_client ⇒ ::Google::Cloud::AIPlatform::V1::ModelService::Operations (readonly)

Get the associated client for long-running operations.

Returns:



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 205

def operations_client
  @operations_client
end

Class Method Details

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

Configure the ModelService Client class.

See Configuration for a description of the configuration fields.

Examples:


# Modify the configuration for all ModelService clients
::Google::Cloud::AIPlatform::V1::ModelService::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/ai_platform/v1/model_service/client.rb', line 64

def self.configure
  @configure ||= begin
    namespace = ["Google", "Cloud", "AIPlatform", "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
  end
  yield @configure if block_given?
  @configure
end

Instance Method Details

#batch_import_evaluated_annotations(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsResponse #batch_import_evaluated_annotations(parent: nil, evaluated_annotations: nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsResponse

Imports a list of externally generated EvaluatedAnnotations.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsResponse.
p result

Overloads:

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1650

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::BatchImportEvaluatedAnnotationsRequest

  # 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
  metadata = @config.rpcs.batch_import_evaluated_annotations.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :batch_import_evaluated_annotations, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#batch_import_model_evaluation_slices(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesResponse #batch_import_model_evaluation_slices(parent: nil, model_evaluation_slices: nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesResponse

Imports a list of externally generated ModelEvaluationSlice.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesResponse.
p result

Overloads:

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1561

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::BatchImportModelEvaluationSlicesRequest

  # 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
  metadata = @config.rpcs.batch_import_model_evaluation_slices.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :batch_import_model_evaluation_slices, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

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

Configure the ModelService 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/ai_platform/v1/model_service/client.rb', line 96

def configure
  yield @config if block_given?
  @config
end

#copy_model(request, options = nil) ⇒ ::Gapic::Operation #copy_model(model_id: nil, parent_model: nil, parent: nil, source_model: nil, encryption_spec: nil) ⇒ ::Gapic::Operation

Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

# Call the copy_model method.
result = client.copy_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:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CopyModelRequest, ::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.

  • #copy_model(model_id: nil, parent_model: nil, parent: nil, source_model: nil, encryption_spec: nil) ⇒ ::Gapic::Operation

    Pass arguments to copy_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:

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

      Optional. Copy source_model into a new Model with this ID. The ID will become the final component of the model resource name.

      This value may be up to 63 characters, and valid characters are [a-z0-9_-]. The first character cannot be a number or hyphen.

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

      Optional. Specify this field to copy source_model into this existing Model as a new version. Format: projects/{project}/locations/{location}/models/{model}

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

      Required. The resource name of the Location into which to copy the Model. Format: projects/{project}/locations/{location}

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

      Required. The resource name of the Model to copy. That Model must be in the same Project. Format: projects/{project}/locations/{location}/models/{model}

    • encryption_spec (::Google::Cloud::AIPlatform::V1::EncryptionSpec, ::Hash) (defaults to: nil) —

      Customer-managed encryption key options. If this is set, then the Model copy will be encrypted with the provided encryption key.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1382

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CopyModelRequest

  # 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
  metadata = @config.rpcs.copy_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :copy_model, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => 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.

A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models field.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::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::AIPlatform::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. The name of the Model resource to be deleted. Format: projects/{project}/locations/{location}/models/{model}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 960

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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
  metadata = @config.rpcs.delete_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :delete_model, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

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

Deletes a Model version.

Model version can only be deleted if there are no DeployedModels created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

# Call the delete_model_version method.
result = client.delete_model_version 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_version(request, options = nil) ⇒ ::Gapic::Operation

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeleteModelVersionRequest, ::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_version(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_model_version 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 name of the model version to be deleted, with a version ID explicitly included.

      Example: projects/{project}/locations/{location}/models/{model}@1234

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1063

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteModelVersionRequest

  # 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
  metadata = @config.rpcs.delete_model_version.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :delete_model_version, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => 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, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one [supported export format][google.cloud.aiplatform.v1.Model.supported_export_formats].

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::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::AIPlatform::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:

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

      Required. The resource name of the Model to export. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be exported.

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

      Required. The desired output location and configuration.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1265

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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
  metadata = @config.rpcs.export_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :export_model, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

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

Gets a Model.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

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

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::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::AIPlatform::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. The name of the Model resource. Format: projects/{project}/locations/{location}/models/{model}

      In order to retrieve a specific version of the model, also provide the version ID or version alias. Example: projects/{project}/locations/{location}/models/{model}@2 or projects/{project}/locations/{location}/models/{model}@golden If no version ID or alias is specified, the "default" version will be returned. The "default" version alias is created for the first version of the model, and can be moved to other versions later on. There will be exactly one default version.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 401

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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
  metadata = @config.rpcs.get_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :get_model, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

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

Gets a ModelEvaluation.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

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

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::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::AIPlatform::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. The name of the ModelEvaluation resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1737

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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
  metadata = @config.rpcs.get_model_evaluation.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :get_model_evaluation, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_model_evaluation_slice(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice #get_model_evaluation_slice(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice

Gets a ModelEvaluationSlice.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Google::Cloud::AIPlatform::V1::ModelEvaluationSlice.
p result

Overloads:

  • #get_model_evaluation_slice(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetModelEvaluationSliceRequest, ::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_slice(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice

    Pass arguments to get_model_evaluation_slice 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 name of the ModelEvaluationSlice resource. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1929

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetModelEvaluationSliceRequest

  # 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
  metadata = @config.rpcs.get_model_evaluation_slice.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :get_model_evaluation_slice, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#import_model_evaluation(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluation #import_model_evaluation(parent: nil, model_evaluation: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluation

Imports an externally generated ModelEvaluation.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

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

Overloads:

  • #import_model_evaluation(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluation

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ImportModelEvaluationRequest, ::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_model_evaluation(parent: nil, model_evaluation: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelEvaluation

    Pass arguments to import_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:

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

      Required. The name of the parent model resource. Format: projects/{project}/locations/{location}/models/{model}

    • model_evaluation (::Google::Cloud::AIPlatform::V1::ModelEvaluation, ::Hash) (defaults to: nil) —

      Required. Model evaluation resource to be imported.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1472

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ImportModelEvaluationRequest

  # 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
  metadata = @config.rpcs.import_model_evaluation.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :import_model_evaluation, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_model_evaluation_slices(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice> #list_model_evaluation_slices(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice>

Lists ModelEvaluationSlices in a ModelEvaluation.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

# Call the list_model_evaluation_slices method.
result = client.list_model_evaluation_slices 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::AIPlatform::V1::ModelEvaluationSlice.
  p item
end

Overloads:

  • #list_model_evaluation_slices(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice>

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesRequest, ::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_evaluation_slices(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelEvaluationSlice>

    Pass arguments to list_model_evaluation_slices 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 ModelEvaluation to list the ModelEvaluationSlices from. Format: projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}

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

      The standard list filter.

      • slice.dimension - for =.
    • page_size (::Integer) (defaults to: nil) —

      The standard list page size.

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

      The standard list page token. Typically obtained via ListModelEvaluationSlicesResponse.next_page_token of the previous ModelService.ListModelEvaluationSlices call.

    • read_mask (::Google::Protobuf::FieldMask, ::Hash) (defaults to: nil) —

      Mask specifying which fields to read.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 2035

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListModelEvaluationSlicesRequest

  # 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
  metadata = @config.rpcs.list_model_evaluation_slices.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :list_model_evaluation_slices, request, options: options do |response, operation|
    response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_model_evaluation_slices, request, response, operation, options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

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

Lists ModelEvaluations in a Model.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::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::AIPlatform::V1::ModelEvaluation.
  p item
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::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, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::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. The resource name of the Model to list the ModelEvaluations from. Format: projects/{project}/locations/{location}/models/{model}

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

      The standard list filter.

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

      The standard list page size.

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

      The standard list page token. Typically obtained via ListModelEvaluationsResponse.next_page_token of the previous ModelService.ListModelEvaluations call.

    • read_mask (::Google::Protobuf::FieldMask, ::Hash) (defaults to: nil) —

      Mask specifying which fields to read.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1840

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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
  metadata = @config.rpcs.list_model_evaluations.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :list_model_evaluations, request, options: options do |response, operation|
    response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_model_evaluations, request, response, operation, options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_model_versions(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model> #list_model_versions(name: nil, page_size: nil, page_token: nil, filter: nil, read_mask: nil, order_by: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model>

Lists versions of the specified model.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

# Call the list_model_versions method.
result = client.list_model_versions 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::AIPlatform::V1::Model.
  p item
end

Overloads:

  • #list_model_versions(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model>

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListModelVersionsRequest, ::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_versions(name: nil, page_size: nil, page_token: nil, filter: nil, read_mask: nil, order_by: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Model>

    Pass arguments to list_model_versions 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 name of the model to list versions for.

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

      The standard list page size.

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

      The standard list page token. Typically obtained via next_page_token of the previous ListModelVersions call.

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

      An expression for filtering the results of the request. For field names both snake_case and camelCase are supported.

      • labels supports general map functions that is:
        • labels.key=value - key:value equality
        • `labels.key:* or labels:key - key existence
        • A key including a space must be quoted. labels."a key".

      Some examples:

      • labels.myKey="myValue"
    • read_mask (::Google::Protobuf::FieldMask, ::Hash) (defaults to: nil) —

      Mask specifying which fields to read.

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

      A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields:

      • create_time
      • update_time

      Example: update_time asc, create_time desc.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 655

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListModelVersionsRequest

  # 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
  metadata = @config.rpcs.list_model_versions.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :list_model_versions, request, options: options do |response, operation|
    response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_model_versions, request, response, operation, options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

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

Lists Models in a Location.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::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::AIPlatform::V1::Model.
  p item
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::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, read_mask: nil, order_by: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::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. The resource name of the Location to list the Models from. Format: projects/{project}/locations/{location}

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

      An expression for filtering the results of the request. For field names both snake_case and camelCase are supported.

      • model supports = and !=. model represents the Model ID, i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1.Model.name].
      • display_name supports = and !=
      • labels supports general map functions that is:
        • labels.key=value - key:value equality
        • `labels.key:* or labels:key - key existence
        • A key including a space must be quoted. labels."a key".
      • base_model_name only supports =

      Some examples:

      • model=1234
      • displayName="myDisplayName"
      • labels.myKey="myValue"
      • baseModelName="text-bison"
    • page_size (::Integer) (defaults to: nil) —

      The standard list page size.

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

      The standard list page token. Typically obtained via ListModelsResponse.next_page_token of the previous ModelService.ListModels call.

    • read_mask (::Google::Protobuf::FieldMask, ::Hash) (defaults to: nil) —

      Mask specifying which fields to read.

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

      A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields:

      • display_name
      • create_time
      • update_time

      Example: display_name, create_time desc.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 532

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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
  metadata = @config.rpcs.list_models.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :list_models, request, options: options do |response, operation|
    response = ::Gapic::PagedEnumerable.new @model_service_stub, :list_models, request, response, operation, options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#logger ⇒ Logger

The logger used for request/response debug logging.

Returns:

  • (Logger) 


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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 226

def logger
  @model_service_stub.logger
end

#merge_version_aliases(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::Model #merge_version_aliases(name: nil, version_aliases: nil) ⇒ ::Google::Cloud::AIPlatform::V1::Model

Merges a set of aliases for a Model version.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

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

Overloads:

  • #merge_version_aliases(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::Model

    Pass arguments to merge_version_aliases via a request object, either of type Google::Cloud::AIPlatform::V1::MergeVersionAliasesRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::MergeVersionAliasesRequest, ::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.

  • #merge_version_aliases(name: nil, version_aliases: nil) ⇒ ::Google::Cloud::AIPlatform::V1::Model

    Pass arguments to merge_version_aliases 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 name of the model version to merge aliases, with a version ID explicitly included.

      Example: projects/{project}/locations/{location}/models/{model}@1234

    • version_aliases (::Array<::String>) (defaults to: nil) —

      Required. The set of version aliases to merge. The alias should be at most 128 characters, and match [a-z][a-zA-Z0-9-]{0,126}[a-z-0-9]. Add the - prefix to an alias means removing that alias from the version. - is NOT counted in the 128 characters. Example: -golden means removing the golden alias from the version.

      There is NO ordering in aliases, which means 1) The aliases returned from GetModel API might not have the exactly same order from this MergeVersionAliases API. 2) Adding and deleting the same alias in the request is not recommended, and the 2 operations will be cancelled out.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 1166

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::MergeVersionAliasesRequest

  # 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
  metadata = @config.rpcs.merge_version_aliases.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :merge_version_aliases, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => 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/ai_platform/v1/model_service/client.rb', line 106

def universe_domain
  @model_service_stub.universe_domain
end

#update_explanation_dataset(request, options = nil) ⇒ ::Gapic::Operation #update_explanation_dataset(model: nil, examples: nil) ⇒ ::Gapic::Operation

Incrementally update the dataset used for an examples model.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

# Call the update_explanation_dataset method.
result = client.update_explanation_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:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::UpdateExplanationDatasetRequest, ::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_explanation_dataset(model: nil, examples: nil) ⇒ ::Gapic::Operation

    Pass arguments to update_explanation_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:

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

      Required. The resource name of the Model to update. Format: projects/{project}/locations/{location}/models/{model}

    • examples (::Google::Cloud::AIPlatform::V1::Examples, ::Hash) (defaults to: nil) —

      The example config containing the location of the dataset.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 858

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UpdateExplanationDatasetRequest

  # 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
  metadata = @config.rpcs.update_explanation_dataset.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.model
    header_params["model"] = request.model
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :update_explanation_dataset, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

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

Updates a Model.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

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

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

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::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::AIPlatform::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:

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

      Required. The Model which replaces the resource on the server. When Model Versioning is enabled, the model.name will be used to determine whether to update the model or model version.

      1. model.name with the @ value, e.g. models/123@1, refers to a version specific update.
      2. model.name without the @ value, e.g. models/123, refers to a model update.
      3. model.name with @-, e.g. models/123@-, refers to a model update.
      4. Supported model fields: display_name, description; supported version-specific fields: version_description. Labels are supported in both scenarios. Both the model labels and the version labels are merged when a model is returned. When updating labels, if the request is for model-specific update, model label gets updated. Otherwise, version labels get updated.
      5. A model name or model version name fields update mismatch will cause a precondition error.
      6. One request cannot update both the model and the version fields. You must update them separately.
    • update_mask (::Google::Protobuf::FieldMask, ::Hash) (defaults to: nil) —

      Required. The update mask applies to the resource. For the FieldMask definition, see google.protobuf.FieldMask.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 763

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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
  metadata = @config.rpcs.update_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.model&.name
    header_params["model.name"] = request.model.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :update_model, request, options: options do |response, operation|
    yield response, operation if block_given?
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#upload_model(request, options = nil) ⇒ ::Gapic::Operation #upload_model(parent: nil, parent_model: nil, model_id: nil, model: nil, service_account: nil) ⇒ ::Gapic::Operation

Uploads a Model artifact into Vertex AI.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

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

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

# Call the upload_model method.
result = client.upload_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:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::UploadModelRequest, ::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.

  • #upload_model(parent: nil, parent_model: nil, model_id: nil, model: nil, service_account: nil) ⇒ ::Gapic::Operation

    Pass arguments to upload_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. The resource name of the Location into which to upload the Model. Format: projects/{project}/locations/{location}

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

      Optional. The resource name of the model into which to upload the version. Only specify this field when uploading a new version.

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

      Optional. The ID to use for the uploaded Model, which will become the final component of the model resource name.

      This value may be up to 63 characters, and valid characters are [a-z0-9_-]. The first character cannot be a number or hyphen.

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

      Required. The Model to create.

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

      Optional. The user-provided custom service account to use to do the model upload. If empty, Vertex AI Service Agent will be used to access resources needed to upload the model. This account must belong to the target project where the model is uploaded to, i.e., the project specified in the parent field of this request and have necessary read permissions (to Google Cloud Storage, Artifact Registry, etc.).

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/model_service/client.rb', line 303

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UploadModelRequest

  # 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
  metadata = @config.rpcs.upload_model.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  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::AIPlatform::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

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

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

  @model_service_stub.call_rpc :upload_model, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    throw :response, response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end