Class: Google::Cloud::AutoML::V1::PredictionService::Client

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

Overview

Client for the PredictionService service.

AutoML Prediction API.

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

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#model_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new PredictionService client object.

Examples:


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

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

Yields:

  • (config) —

    Configure the PredictionService client.

Yield Parameters:



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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 131

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/automl/v1/prediction_service_services_pb"

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

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

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

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

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

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

Instance Attribute Details

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

Get the associated client for long-running operations.

Returns:



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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 194

def operations_client
  @operations_client
end

Class Method Details

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

Configure the PredictionService Client class.

See Configuration for a description of the configuration fields.

Examples:


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

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 65

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

    default_config.rpcs.predict.timeout = 60.0

    default_config.rpcs.batch_predict.timeout = 60.0

    default_config
  end
  yield @configure if block_given?
  @configure
end

Instance Method Details

#batch_predict(request, options = nil) ⇒ ::Gapic::Operation #batch_predict(name: nil, input_config: nil, output_config: nil, params: nil) ⇒ ::Gapic::Operation

Perform a batch prediction. Unlike the online Predict, batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via GetOperation method. Once the operation is done, BatchPredictResult is returned in the response field. Available for following ML scenarios:

  • AutoML Vision Classification
  • AutoML Vision Object Detection
  • AutoML Video Intelligence Classification
  • AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
  • AutoML Natural Language Entity Extraction
  • AutoML Natural Language Sentiment Analysis
  • AutoML Tables

Examples:

Basic example

require "google/cloud/automl/v1"

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

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

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

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

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AutoML::V1::BatchPredictRequest, ::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.

  • #batch_predict(name: nil, input_config: nil, output_config: nil, params: nil) ⇒ ::Gapic::Operation

    Pass arguments to batch_predict 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. Name of the model requested to serve the batch prediction.

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

      Required. The input configuration for batch prediction.

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

      Required. The Configuration specifying where output predictions should be written.

    • params (::Hash{::String => ::String}) (defaults to: nil) —

      Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.

      AutoML Natural Language Classification

      score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.

      AutoML Vision Classification

      score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.

      AutoML Vision Object Detection

      score_threshold : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.

      max_bounding_box_count : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classification

      score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.

      segment_classification : (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.

      shot_classification : (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.

      WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

      1s_interval_classification : (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.

      WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

      AutoML Video Intelligence Object Tracking

      score_threshold : (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.

      max_bounding_box_count : (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server.

      min_bounding_box_size : (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

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

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 515

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

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

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

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

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

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

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

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

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

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

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

Configure the PredictionService Client instance.

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

See Configuration for a description of the configuration fields.

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 101

def configure
  yield @config if block_given?
  @config
end

#logger ⇒ Logger

The logger used for request/response debug logging.

Returns:

  • (Logger) 


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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 201

def logger
  @prediction_service_stub.logger
end

#predict(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::PredictResponse #predict(name: nil, payload: nil, params: nil) ⇒ ::Google::Cloud::AutoML::V1::PredictResponse

Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:

AutoML Vision Classification

  • An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Vision Object Detection

  • An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.

AutoML Natural Language Classification

  • A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Natural Language Entity Extraction

  • A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.

AutoML Natural Language Sentiment Analysis

  • A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.

AutoML Translation

  • A TextSnippet up to 25,000 characters, UTF-8 encoded.

AutoML Tables

  • A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING prediction_type.

Examples:

Basic example

require "google/cloud/automl/v1"

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

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

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

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

Overloads:

  • #predict(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1::PredictResponse

    Pass arguments to predict via a request object, either of type Google::Cloud::AutoML::V1::PredictRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1::PredictRequest, ::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.

  • #predict(name: nil, payload: nil, params: nil) ⇒ ::Google::Cloud::AutoML::V1::PredictResponse

    Pass arguments to predict 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. Name of the model requested to serve the prediction.

    • payload (::Google::Cloud::AutoML::V1::ExamplePayload, ::Hash) (defaults to: nil) —

      Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.

    • params (::Hash{::String => ::String}) (defaults to: nil) —

      Additional domain-specific parameters, any string must be up to 25000 characters long.

      AutoML Vision Classification

      score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.

      AutoML Vision Object Detection

      score_threshold : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.

      max_bounding_box_count : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server.

      AutoML Tables

      feature_importance : (boolean) Whether [feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 320

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

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

  # 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.predict.metadata.to_h

  # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AutoML::V1::VERSION
  metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

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

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

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

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

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

#universe_domain ⇒ String

The effective universe domain

Returns:

  • (String) 


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# File 'lib/google/cloud/automl/v1/prediction_service/client.rb', line 111

def universe_domain
  @prediction_service_stub.universe_domain
end