Class: Google::Cloud::AutoML::V1beta1::PredictionServiceClient
- Inherits:
-
Object
- Object
- Google::Cloud::AutoML::V1beta1::PredictionServiceClient
- Defined in:
- lib/google/cloud/automl/v1beta1/prediction_service_client.rb
Overview
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: OperationsClient
Constant Summary collapse
- SERVICE_ADDRESS =
The default address of the service.
"automl.googleapis.com".freeze
- DEFAULT_SERVICE_PORT =
The default port of the service.
443
- GRPC_INTERCEPTORS =
The default set of gRPC interceptors.
[]
- DEFAULT_TIMEOUT =
30
- ALL_SCOPES =
The scopes needed to make gRPC calls to all of the methods defined in this service.
[ "https://www.googleapis.com/auth/cloud-platform" ].freeze
Class Method Summary collapse
-
.model_path(project, location, model) ⇒ String
Returns a fully-qualified model resource name string.
Instance Method Summary collapse
-
#batch_predict(name, input_config, output_config, params: nil, options: nil) ⇒ Google::Gax::Operation
Perform a batch prediction.
-
#initialize(credentials: nil, scopes: ALL_SCOPES, client_config: {}, timeout: DEFAULT_TIMEOUT, metadata: nil, service_address: nil, service_port: nil, exception_transformer: nil, lib_name: nil, lib_version: "") ⇒ PredictionServiceClient
constructor
A new instance of PredictionServiceClient.
-
#predict(name, payload, params: nil, options: nil) {|result, operation| ... } ⇒ Google::Cloud::AutoML::V1beta1::PredictResponse
Perform an online prediction.
Constructor Details
#initialize(credentials: nil, scopes: ALL_SCOPES, client_config: {}, timeout: DEFAULT_TIMEOUT, metadata: nil, service_address: nil, service_port: nil, exception_transformer: nil, lib_name: nil, lib_version: "") ⇒ PredictionServiceClient
Returns a new instance of PredictionServiceClient.
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# File 'lib/google/cloud/automl/v1beta1/prediction_service_client.rb', line 123 def initialize \ credentials: nil, scopes: ALL_SCOPES, client_config: {}, timeout: DEFAULT_TIMEOUT, metadata: nil, service_address: nil, service_port: nil, exception_transformer: nil, lib_name: nil, lib_version: "" # 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 "google/gax/grpc" require "google/cloud/automl/v1beta1/prediction_service_services_pb" credentials ||= Google::Cloud::AutoML::V1beta1::Credentials.default @operations_client = OperationsClient.new( credentials: credentials, scopes: scopes, client_config: client_config, timeout: timeout, lib_name: lib_name, service_address: service_address, service_port: service_port, lib_version: lib_version, metadata: , ) if credentials.is_a?(String) || credentials.is_a?(Hash) updater_proc = Google::Cloud::AutoML::V1beta1::Credentials.new(credentials).updater_proc end if credentials.is_a?(GRPC::Core::Channel) channel = credentials end if credentials.is_a?(GRPC::Core::ChannelCredentials) chan_creds = credentials end if credentials.is_a?(Proc) updater_proc = credentials end if credentials.is_a?(Google::Auth::Credentials) updater_proc = credentials.updater_proc end package_version = Google::Cloud::AutoML::VERSION google_api_client = "gl-ruby/#{RUBY_VERSION}" google_api_client << " #{lib_name}/#{lib_version}" if lib_name google_api_client << " gapic/#{package_version} gax/#{Google::Gax::VERSION}" google_api_client << " grpc/#{GRPC::VERSION}" google_api_client.freeze headers = { :"x-goog-api-client" => google_api_client } headers.merge!() unless .nil? client_config_file = Pathname.new(__dir__).join( "prediction_service_client_config.json" ) defaults = client_config_file.open do |f| Google::Gax.construct_settings( "google.cloud.automl.v1beta1.PredictionService", JSON.parse(f.read), client_config, Google::Gax::Grpc::STATUS_CODE_NAMES, timeout, errors: Google::Gax::Grpc::API_ERRORS, metadata: headers ) end # Allow overriding the service path/port in subclasses. service_path = service_address || self.class::SERVICE_ADDRESS port = service_port || self.class::DEFAULT_SERVICE_PORT interceptors = self.class::GRPC_INTERCEPTORS @prediction_service_stub = Google::Gax::Grpc.create_stub( service_path, port, chan_creds: chan_creds, channel: channel, updater_proc: updater_proc, scopes: scopes, interceptors: interceptors, &Google::Cloud::AutoML::V1beta1::PredictionService::Stub.method(:new) ) @predict = Google::Gax.create_api_call( @prediction_service_stub.method(:predict), defaults["predict"], exception_transformer: exception_transformer, params_extractor: proc do |request| {'name' => request.name} end ) @batch_predict = Google::Gax.create_api_call( @prediction_service_stub.method(:batch_predict), defaults["batch_predict"], exception_transformer: exception_transformer, params_extractor: proc do |request| {'name' => request.name} end ) end |
Class Method Details
.model_path(project, location, model) ⇒ String
Returns a fully-qualified model resource name string.
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# File 'lib/google/cloud/automl/v1beta1/prediction_service_client.rb', line 82 def self.model_path project, location, model MODEL_PATH_TEMPLATE.render( :"project" => project, :"location" => location, :"model" => model ) end |
Instance Method Details
#batch_predict(name, input_config, output_config, params: nil, options: nil) ⇒ Google::Gax::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:
- Video Classification
- Video Object Tracking
- Text Extraction
- Tables
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# File 'lib/google/cloud/automl/v1beta1/prediction_service_client.rb', line 415 def batch_predict \ name, input_config, output_config, params: nil, options: nil req = { name: name, input_config: input_config, output_config: output_config, params: params }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::AutoML::V1beta1::BatchPredictRequest) operation = Google::Gax::Operation.new( @batch_predict.call(req, ), @operations_client, Google::Cloud::AutoML::V1beta1::BatchPredictResult, Google::Cloud::AutoML::V1beta1::OperationMetadata, call_options: ) operation.on_done { |operation| yield(operation) } if block_given? operation end |
#predict(name, payload, params: nil, options: nil) {|result, operation| ... } ⇒ 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.
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# File 'lib/google/cloud/automl/v1beta1/prediction_service_client.rb', line 291 def predict \ name, payload, params: nil, options: nil, &block req = { name: name, payload: payload, params: params }.delete_if { |_, v| v.nil? } req = Google::Gax::to_proto(req, Google::Cloud::AutoML::V1beta1::PredictRequest) @predict.call(req, , &block) end |