Class: Google::Cloud::AIPlatform::V1::JobService::Client

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

Overview

Client for the JobService service.

A service for creating and managing Vertex AI's jobs.

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#batch_prediction_job_path, #custom_job_path, #data_labeling_job_path, #dataset_path, #endpoint_path, #hyperparameter_tuning_job_path, #location_path, #model_deployment_monitoring_job_path, #model_path, #network_path, #tensorboard_path, #trial_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new JobService client object.

Examples:


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

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

Yields:

  • (config) —

    Configure the JobService client.

Yield Parameters:

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 111

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/job_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 == Client.configure.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
  end

  @location_client = Google::Cloud::Location::Locations::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
  end

  @iam_policy_client = Google::Iam::V1::IAMPolicy::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
  end

  @job_service_stub = ::Gapic::ServiceStub.new(
    ::Google::Cloud::AIPlatform::V1::JobService::Stub,
    credentials:  credentials,
    endpoint:     @config.endpoint,
    channel_args: @config.channel_args,
    interceptors: @config.interceptors
  )
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/job_service/client.rb', line 184

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/job_service/client.rb', line 177

def location_client
  @location_client
end

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

Get the associated client for long-running operations.

Returns:


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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 170

def operations_client
  @operations_client
end

Class Method Details

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

Configure the JobService Client class.

See Configuration for a description of the configuration fields.

Examples:


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

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 58

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

#cancel_batch_prediction_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_batch_prediction_job(name: nil) ⇒ ::Google::Protobuf::Empty

Cancels a BatchPredictionJob.

Starts asynchronous cancellation on the BatchPredictionJob. The server makes the best effort to cancel the job, but success is not guaranteed. Clients can use JobService.GetBatchPredictionJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On a successful cancellation, the BatchPredictionJob is not deleted;instead its BatchPredictionJob.state is set to CANCELLED. Any files already outputted by the job are not deleted.

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::JobService::Client.new

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

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

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #cancel_batch_prediction_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

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

    Parameters:

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

  • #cancel_batch_prediction_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_batch_prediction_job 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 BatchPredictionJob to cancel. Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2102

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

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

  # 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.cancel_batch_prediction_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.cancel_batch_prediction_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.cancel_batch_prediction_job.retry_policy

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

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

#cancel_custom_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_custom_job(name: nil) ⇒ ::Google::Protobuf::Empty

Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use JobService.GetCustomJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the CustomJob is not deleted; instead it becomes a job with a CustomJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and CustomJob.state is set to CANCELLED.

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::JobService::Client.new

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

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

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #cancel_custom_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

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

    Parameters:

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

  • #cancel_custom_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_custom_job 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 CustomJob to cancel. Format: projects/{project}/locations/{location}/customJobs/{custom_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 637

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

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

  # 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.cancel_custom_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.cancel_custom_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.cancel_custom_job.retry_policy

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

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

#cancel_data_labeling_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_data_labeling_job(name: nil) ⇒ ::Google::Protobuf::Empty

Cancels a DataLabelingJob. Success of cancellation is not guaranteed.

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::JobService::Client.new

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

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

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #cancel_data_labeling_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

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

    Parameters:

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

  • #cancel_data_labeling_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_data_labeling_job 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 DataLabelingJob. Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1121

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

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

  # 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.cancel_data_labeling_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.cancel_data_labeling_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.cancel_data_labeling_job.retry_policy

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

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

#cancel_hyperparameter_tuning_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_hyperparameter_tuning_job(name: nil) ⇒ ::Google::Protobuf::Empty

Cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the HyperparameterTuningJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use JobService.GetHyperparameterTuningJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the HyperparameterTuningJob is not deleted; instead it becomes a job with a HyperparameterTuningJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and HyperparameterTuningJob.state is set to CANCELLED.

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::JobService::Client.new

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

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

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #cancel_hyperparameter_tuning_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

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

    Parameters:

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

  • #cancel_hyperparameter_tuning_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_hyperparameter_tuning_job 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 HyperparameterTuningJob to cancel. Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1610

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

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

  # 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.cancel_hyperparameter_tuning_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.cancel_hyperparameter_tuning_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.cancel_hyperparameter_tuning_job.retry_policy

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

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

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

Configure the JobService 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:

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 90

def configure
  yield @config if block_given?
  @config
end

#create_batch_prediction_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob #create_batch_prediction_job(parent: nil, batch_prediction_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob

Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to start.

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::JobService::Client.new

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

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

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

Overloads:

  • #create_batch_prediction_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CreateBatchPredictionJobRequest, ::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_batch_prediction_job(parent: nil, batch_prediction_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob

    Pass arguments to create_batch_prediction_job 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 create the BatchPredictionJob in. Format: projects/{project}/locations/{location}

    • batch_prediction_job (::Google::Cloud::AIPlatform::V1::BatchPredictionJob, ::Hash) (defaults to: nil) —

      Required. The BatchPredictionJob to create.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1699

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

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

  # 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.create_batch_prediction_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.create_batch_prediction_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.create_batch_prediction_job.retry_policy

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

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

#create_custom_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob #create_custom_job(parent: nil, custom_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob

Creates a CustomJob. A created CustomJob right away will be attempted to be run.

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::JobService::Client.new

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

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

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

Overloads:

  • #create_custom_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CreateCustomJobRequest, ::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_custom_job(parent: nil, custom_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob

    Pass arguments to create_custom_job 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 create the CustomJob in. Format: projects/{project}/locations/{location}

    • custom_job (::Google::Cloud::AIPlatform::V1::CustomJob, ::Hash) (defaults to: nil) —

      Required. The CustomJob to create.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 236

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

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

  # 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.create_custom_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.create_custom_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.create_custom_job.retry_policy

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

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

#create_data_labeling_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob #create_data_labeling_job(parent: nil, data_labeling_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob

Creates a DataLabelingJob.

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::JobService::Client.new

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

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

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

Overloads:

  • #create_data_labeling_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CreateDataLabelingJobRequest, ::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_data_labeling_job(parent: nil, data_labeling_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob

    Pass arguments to create_data_labeling_job 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 parent of the DataLabelingJob. Format: projects/{project}/locations/{location}

    • data_labeling_job (::Google::Cloud::AIPlatform::V1::DataLabelingJob, ::Hash) (defaults to: nil) —

      Required. The DataLabelingJob to create.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 725

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

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

  # 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.create_data_labeling_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.create_data_labeling_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.create_data_labeling_job.retry_policy

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

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

#create_hyperparameter_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob #create_hyperparameter_tuning_job(parent: nil, hyperparameter_tuning_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob

Creates a HyperparameterTuningJob

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::JobService::Client.new

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

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

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

Overloads:

  • #create_hyperparameter_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CreateHyperparameterTuningJobRequest, ::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_hyperparameter_tuning_job(parent: nil, hyperparameter_tuning_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob

    Pass arguments to create_hyperparameter_tuning_job 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 create the HyperparameterTuningJob in. Format: projects/{project}/locations/{location}

    • hyperparameter_tuning_job (::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob, ::Hash) (defaults to: nil) —

      Required. The HyperparameterTuningJob to create.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1209

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

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

  # 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.create_hyperparameter_tuning_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.create_hyperparameter_tuning_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.create_hyperparameter_tuning_job.retry_policy

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

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

#create_model_deployment_monitoring_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob #create_model_deployment_monitoring_job(parent: nil, model_deployment_monitoring_job: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob

Creates a ModelDeploymentMonitoringJob. It will run periodically on a configured interval.

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::JobService::Client.new

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

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

# The returned object is of type Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob.
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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2191

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

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

  # 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.create_model_deployment_monitoring_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.create_model_deployment_monitoring_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.create_model_deployment_monitoring_job.retry_policy

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

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

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

Deletes a BatchPredictionJob. Can only be called on jobs that already finished.

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::JobService::Client.new

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

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

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeleteBatchPredictionJobRequest, ::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_batch_prediction_job(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_batch_prediction_job 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 BatchPredictionJob resource to be deleted. Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}

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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2005

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

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

  # 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_batch_prediction_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_batch_prediction_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.delete_batch_prediction_job.retry_policy

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

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

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

Deletes a CustomJob.

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::JobService::Client.new

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

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

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeleteCustomJobRequest, ::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_custom_job(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_custom_job 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 CustomJob resource to be deleted. Format: projects/{project}/locations/{location}/customJobs/{custom_job}

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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 540

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

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

  # 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_custom_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_custom_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.delete_custom_job.retry_policy

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

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

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

Deletes a DataLabelingJob.

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::JobService::Client.new

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

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

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeleteDataLabelingJobRequest, ::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_data_labeling_job(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_data_labeling_job 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 DataLabelingJob to be deleted. Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}

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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1033

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

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

  # 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_data_labeling_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_data_labeling_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.delete_data_labeling_job.retry_policy

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

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

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

Deletes a HyperparameterTuningJob.

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::JobService::Client.new

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

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

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeleteHyperparameterTuningJobRequest, ::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_hyperparameter_tuning_job(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_hyperparameter_tuning_job 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 HyperparameterTuningJob resource to be deleted. Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}

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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1513

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

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

  # 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_hyperparameter_tuning_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_hyperparameter_tuning_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.delete_hyperparameter_tuning_job.retry_policy

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

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

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

Deletes a ModelDeploymentMonitoringJob.

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::JobService::Client.new

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

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

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeleteModelDeploymentMonitoringJobRequest, ::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_deployment_monitoring_job(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_model_deployment_monitoring_job 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 monitoring job to delete. Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}

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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2730

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

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

  # 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_deployment_monitoring_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_deployment_monitoring_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.delete_model_deployment_monitoring_job.retry_policy

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

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

#get_batch_prediction_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob #get_batch_prediction_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob

Gets a BatchPredictionJob

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::JobService::Client.new

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

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

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

Overloads:

  • #get_batch_prediction_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetBatchPredictionJobRequest, ::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_batch_prediction_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::BatchPredictionJob

    Pass arguments to get_batch_prediction_job 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 BatchPredictionJob resource. Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1786

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

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

  # 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_batch_prediction_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_batch_prediction_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.get_batch_prediction_job.retry_policy

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

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

#get_custom_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob #get_custom_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob

Gets a CustomJob.

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::JobService::Client.new

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

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

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

Overloads:

  • #get_custom_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetCustomJobRequest, ::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_custom_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::CustomJob

    Pass arguments to get_custom_job 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 CustomJob resource. Format: projects/{project}/locations/{location}/customJobs/{custom_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 323

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

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

  # 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_custom_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_custom_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.get_custom_job.retry_policy

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

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

#get_data_labeling_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob #get_data_labeling_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob

Gets a DataLabelingJob.

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::JobService::Client.new

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

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

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

Overloads:

  • #get_data_labeling_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetDataLabelingJobRequest, ::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_data_labeling_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::DataLabelingJob

    Pass arguments to get_data_labeling_job 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 DataLabelingJob. Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 812

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

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

  # 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_data_labeling_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_data_labeling_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.get_data_labeling_job.retry_policy

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

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

#get_hyperparameter_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob #get_hyperparameter_tuning_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob

Gets a HyperparameterTuningJob

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::JobService::Client.new

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

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

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

Overloads:

  • #get_hyperparameter_tuning_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetHyperparameterTuningJobRequest, ::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_hyperparameter_tuning_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob

    Pass arguments to get_hyperparameter_tuning_job 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 HyperparameterTuningJob resource. Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1296

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

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

  # 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_hyperparameter_tuning_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_hyperparameter_tuning_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.get_hyperparameter_tuning_job.retry_policy

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

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

#get_model_deployment_monitoring_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob #get_model_deployment_monitoring_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob

Gets a ModelDeploymentMonitoringJob.

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::JobService::Client.new

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

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

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

Overloads:

  • #get_model_deployment_monitoring_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetModelDeploymentMonitoringJobRequest, ::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_deployment_monitoring_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob

    Pass arguments to get_model_deployment_monitoring_job 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 ModelDeploymentMonitoringJob. Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2394

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

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

  # 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_deployment_monitoring_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_deployment_monitoring_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.get_model_deployment_monitoring_job.retry_policy

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

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

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

Lists BatchPredictionJobs 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::JobService::Client.new

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

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

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::BatchPredictionJob.
  p response
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListBatchPredictionJobsRequest, ::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_batch_prediction_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::BatchPredictionJob>

    Pass arguments to list_batch_prediction_jobs 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 BatchPredictionJobs from. Format: projects/{project}/locations/{location}

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

      The standard list filter.

      Supported fields:

      • display_name supports =, != comparisons, and : wildcard.
      • model_display_name supports =, != comparisons.
      • state supports =, != comparisons.
      • create_time supports =, !=,<, <=,>, >= comparisons. create_time must be in RFC 3339 format.
      • labels supports general map functions that is: labels.key=value - key:value equality `labels.key:* - key existence

      Some examples of using the filter are:

      • state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"
      • state!="JOB_STATE_FAILED" OR display_name="my_job"
      • NOT display_name="my_job"
      • create_time>"2021-05-18T00:00:00Z"
      • labels.keyA=valueA
      • labels.keyB:*
    • 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 ListBatchPredictionJobsResponse.next_page_token of the previous JobService.ListBatchPredictionJobs 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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1909

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

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

  # 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_batch_prediction_jobs.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_batch_prediction_jobs.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.list_batch_prediction_jobs.retry_policy

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

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

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

Lists CustomJobs 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::JobService::Client.new

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

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

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::CustomJob.
  p response
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListCustomJobsRequest, ::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_custom_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::CustomJob>

    Pass arguments to list_custom_jobs 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 CustomJobs from. Format: projects/{project}/locations/{location}

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

      The standard list filter.

      Supported fields:

      • display_name supports =, != comparisons, and : wildcard.
      • state supports =, != comparisons.
      • create_time supports =, !=,<, <=,>, >= comparisons. create_time must be in RFC 3339 format.
      • labels supports general map functions that is: labels.key=value - key:value equality `labels.key:* - key existence

      Some examples of using the filter are:

      • state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"
      • state!="JOB_STATE_FAILED" OR display_name="my_job"
      • NOT display_name="my_job"
      • create_time>"2021-05-18T00:00:00Z"
      • labels.keyA=valueA
      • labels.keyB:*
    • 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 ListCustomJobsResponse.next_page_token of the previous JobService.ListCustomJobs 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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 445

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

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

  # 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_custom_jobs.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_custom_jobs.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.list_custom_jobs.retry_policy

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

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

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

Lists DataLabelingJobs 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::JobService::Client.new

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

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

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::DataLabelingJob.
  p response
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListDataLabelingJobsRequest, ::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_data_labeling_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil, order_by: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::DataLabelingJob>

    Pass arguments to list_data_labeling_jobs 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 parent of the DataLabelingJob. Format: projects/{project}/locations/{location}

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

      The standard list filter.

      Supported fields:

      • display_name supports =, != comparisons, and : wildcard.
      • state supports =, != comparisons.
      • create_time supports =, !=,<, <=,>, >= comparisons. create_time must be in RFC 3339 format.
      • labels supports general map functions that is: labels.key=value - key:value equality `labels.key:* - key existence

      Some examples of using the filter are:

      • state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"
      • state!="JOB_STATE_FAILED" OR display_name="my_job"
      • NOT display_name="my_job"
      • create_time>"2021-05-18T00:00:00Z"
      • labels.keyA=valueA
      • labels.keyB:*
    • page_size (::Integer) (defaults to: nil) —

      The standard list page size.

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

      The standard list page token.

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

      Mask specifying which fields to read. FieldMask represents a set of symbolic field paths. For example, the mask can be paths: "name". The "name" here is a field in DataLabelingJob. If this field is not set, all fields of the DataLabelingJob are returned.

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

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

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 938

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

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

  # 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_data_labeling_jobs.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_data_labeling_jobs.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.list_data_labeling_jobs.retry_policy

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

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

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

Lists HyperparameterTuningJobs 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::JobService::Client.new

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

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

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob.
  p response
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListHyperparameterTuningJobsRequest, ::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_hyperparameter_tuning_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::HyperparameterTuningJob>

    Pass arguments to list_hyperparameter_tuning_jobs 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 HyperparameterTuningJobs from. Format: projects/{project}/locations/{location}

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

      The standard list filter.

      Supported fields:

      • display_name supports =, != comparisons, and : wildcard.
      • state supports =, != comparisons.
      • create_time supports =, !=,<, <=,>, >= comparisons. create_time must be in RFC 3339 format.
      • labels supports general map functions that is: labels.key=value - key:value equality `labels.key:* - key existence

      Some examples of using the filter are:

      • state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"
      • state!="JOB_STATE_FAILED" OR display_name="my_job"
      • NOT display_name="my_job"
      • create_time>"2021-05-18T00:00:00Z"
      • labels.keyA=valueA
      • labels.keyB:*
    • 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 ListHyperparameterTuningJobsResponse.next_page_token of the previous JobService.ListHyperparameterTuningJobs 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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 1418

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

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

  # 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_hyperparameter_tuning_jobs.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_hyperparameter_tuning_jobs.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.list_hyperparameter_tuning_jobs.retry_policy

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

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

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

Lists ModelDeploymentMonitoringJobs 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::JobService::Client.new

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

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

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob.
  p response
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListModelDeploymentMonitoringJobsRequest, ::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_deployment_monitoring_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob>

    Pass arguments to list_model_deployment_monitoring_jobs 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 parent of the ModelDeploymentMonitoringJob. Format: projects/{project}/locations/{location}

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

      The standard list filter.

      Supported fields:

      • display_name supports =, != comparisons, and : wildcard.
      • state supports =, != comparisons.
      • create_time supports =, !=,<, <=,>, >= comparisons. create_time must be in RFC 3339 format.
      • labels supports general map functions that is: labels.key=value - key:value equality `labels.key:* - key existence

      Some examples of using the filter are:

      • state="JOB_STATE_SUCCEEDED" AND display_name:"my_job_*"
      • state!="JOB_STATE_FAILED" OR display_name="my_job"
      • NOT display_name="my_job"
      • create_time>"2021-05-18T00:00:00Z"
      • labels.keyA=valueA
      • labels.keyB:*
    • page_size (::Integer) (defaults to: nil) —

      The standard list page size.

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

      The standard list page token.

    • 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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2513

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

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

  # 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_deployment_monitoring_jobs.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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_deployment_monitoring_jobs.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.list_model_deployment_monitoring_jobs.retry_policy

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

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

#pause_model_deployment_monitoring_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #pause_model_deployment_monitoring_job(name: nil) ⇒ ::Google::Protobuf::Empty

Pauses a ModelDeploymentMonitoringJob. If the job is running, the server makes a best effort to cancel the job. Will mark ModelDeploymentMonitoringJob.state to 'PAUSED'.

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::JobService::Client.new

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

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

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #pause_model_deployment_monitoring_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

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

    Parameters:

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

  • #pause_model_deployment_monitoring_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to pause_model_deployment_monitoring_job 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 ModelDeploymentMonitoringJob to pause. Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2820

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

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

  # 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.pause_model_deployment_monitoring_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.pause_model_deployment_monitoring_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.pause_model_deployment_monitoring_job.retry_policy

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

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

#resume_model_deployment_monitoring_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #resume_model_deployment_monitoring_job(name: nil) ⇒ ::Google::Protobuf::Empty

Resumes a paused ModelDeploymentMonitoringJob. It will start to run from next scheduled time. A deleted ModelDeploymentMonitoringJob can't be resumed.

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::JobService::Client.new

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

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

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #resume_model_deployment_monitoring_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

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

    Parameters:

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

  • #resume_model_deployment_monitoring_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to resume_model_deployment_monitoring_job 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 ModelDeploymentMonitoringJob to resume. Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2909

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

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

  # 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.resume_model_deployment_monitoring_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-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.resume_model_deployment_monitoring_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.resume_model_deployment_monitoring_job.retry_policy

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

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

#search_model_deployment_monitoring_stats_anomalies(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies> #search_model_deployment_monitoring_stats_anomalies(model_deployment_monitoring_job: nil, deployed_model_id: nil, feature_display_name: nil, objectives: nil, page_size: nil, page_token: nil, start_time: nil, end_time: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies>

Searches Model Monitoring Statistics generated within a given time window.

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::JobService::Client.new

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

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

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies.
  p response
end

Overloads:

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2306

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

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

  # 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.search_model_deployment_monitoring_stats_anomalies.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.model_deployment_monitoring_job
    header_params["model_deployment_monitoring_job"] = request.model_deployment_monitoring_job
  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.search_model_deployment_monitoring_stats_anomalies.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.search_model_deployment_monitoring_stats_anomalies.retry_policy

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

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

#update_model_deployment_monitoring_job(request, options = nil) ⇒ ::Gapic::Operation #update_model_deployment_monitoring_job(model_deployment_monitoring_job: nil, update_mask: nil) ⇒ ::Gapic::Operation

Updates a ModelDeploymentMonitoringJob.

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::JobService::Client.new

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

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

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::UpdateModelDeploymentMonitoringJobRequest, ::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_deployment_monitoring_job(model_deployment_monitoring_job: nil, update_mask: nil) ⇒ ::Gapic::Operation

    Pass arguments to update_model_deployment_monitoring_job 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_deployment_monitoring_job (::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob, ::Hash) (defaults to: nil) —

      Required. The model monitoring configuration which replaces the resource on the server.

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

      Required. The update mask is used to specify the fields to be overwritten in the ModelDeploymentMonitoringJob resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to * to override all fields. For the objective config, the user can either provide the update mask for model_deployment_monitoring_objective_configs or any combination of its nested fields, such as: model_deployment_monitoring_objective_configs.objective_config.training_dataset.

      Updatable fields:

      • display_name
      • model_deployment_monitoring_schedule_config
      • model_monitoring_alert_config
      • logging_sampling_strategy
      • labels
      • log_ttl
      • enable_monitoring_pipeline_logs . and
      • model_deployment_monitoring_objective_configs . or
      • model_deployment_monitoring_objective_configs.objective_config.training_dataset
      • model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config
      • model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config

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.

[View source]

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# File 'lib/google/cloud/ai_platform/v1/job_service/client.rb', line 2635

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

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

  # 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_deployment_monitoring_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project 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-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.model_deployment_monitoring_job&.name
    header_params["model_deployment_monitoring_job.name"] = request.model_deployment_monitoring_job.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_deployment_monitoring_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.update_model_deployment_monitoring_job.retry_policy

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

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