Class: Google::Cloud::AutoML::V1beta1::PredictionService::Client

Inherits:
Object
  • Object
show all
Includes:
Paths
Defined in:
lib/google/cloud/automl/v1beta1/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 kebab-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::V1beta1::PredictionService::Client.new

# Create a client using a custom configuration
client = ::Google::Cloud::AutoML::V1beta1::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/v1beta1/prediction_service/client.rb', line 116

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/v1beta1/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 == 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

  @prediction_service_stub = ::Gapic::ServiceStub.new(
    ::Google::Cloud::AutoML::V1beta1::PredictionService::Stub,
    credentials:  credentials,
    endpoint:     @config.endpoint,
    channel_args: @config.channel_args,
    interceptors: @config.interceptors
  )
end

Instance Attribute Details

#operations_client ⇒ ::Google::Cloud::AutoML::V1beta1::PredictionService::Operations (readonly)

Get the associated client for long-running operations.

Returns:



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# File 'lib/google/cloud/automl/v1beta1/prediction_service/client.rb', line 163

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::V1beta1::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/v1beta1/prediction_service/client.rb', line 59

def self.configure
  @configure ||= begin
    namespace = ["Google", "Cloud", "AutoML", "V1beta1"]
    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 problems:

  • Image Classification
  • Image Object Detection
  • Video Classification
  • Video Object Tracking * Text Extraction
  • Tables

Examples:

Basic example

require "google/cloud/automl/v1beta1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1beta1::PredictionService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1beta1::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::V1beta1::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::V1beta1::BatchPredictInputConfig, ::Hash) (defaults to: nil) —

      Required. The input configuration for batch prediction.

    • output_config (::Google::Cloud::AutoML::V1beta1::BatchPredictOutputConfig, ::Hash) (defaults to: nil) —

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

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

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

      • For Text 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.

      • For Image 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.

      • For Image 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) No more than this number of bounding boxes will be produced per image. Default is 100, the requested value may be limited by server.

      • For Video 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. 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. The default is "false". 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. 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. The default is "false".

      • For Tables:

      feature_importance - (boolean) Whether feature importance should be populated in the returned TablesAnnotations. The default is false.

      • For Video 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) No more than this number of bounding boxes will be returned per frame. Default is 100, the requested value may be limited by server. min_bounding_box_size - (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size will be 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/v1beta1/prediction_service/client.rb', line 432

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1beta1::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 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::AutoML::V1beta1::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.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?
    return 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/v1beta1/prediction_service/client.rb', line 95

def configure
  yield @config if block_given?
  @config
end

#predict(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1beta1::PredictResponse #predict(name: nil, payload: nil, params: nil) ⇒ ::Google::Cloud::AutoML::V1beta1::PredictResponse

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

  • Image Classification - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
  • Image Object Detection - Image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
  • Text Classification - TextSnippet, content up to 60,000 characters, UTF-8 encoded.
  • Text Extraction - TextSnippet, content up to 30,000 characters, UTF-8 NFC encoded.
  • Translation - TextSnippet, content up to 25,000 characters, UTF-8 encoded.
  • Tables - Row, with column values matching the columns of the model, up to 5MB. Not available for FORECASTING

[prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type].

  • Text Sentiment - TextSnippet, content up 500 characters, UTF-8 encoded.

Examples:

Basic example

require "google/cloud/automl/v1beta1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AutoML::V1beta1::PredictionService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AutoML::V1beta1::PredictRequest.new

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

# The returned object is of type Google::Cloud::AutoML::V1beta1::PredictResponse.
p result

Overloads:

  • #predict(request, options = nil) ⇒ ::Google::Cloud::AutoML::V1beta1::PredictResponse

    Pass arguments to predict via a request object, either of type Google::Cloud::AutoML::V1beta1::PredictRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AutoML::V1beta1::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::V1beta1::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::V1beta1::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.

      • For Image 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.

      • For Image 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) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server.
        • For Tables: feature_importance - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. 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/v1beta1/prediction_service/client.rb', line 253

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1beta1::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 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::AutoML::V1beta1::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.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?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end