Class: Google::Cloud::AIPlatform::V1::PredictionService::Client

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

Overview

Client for the PredictionService service.

A service for online predictions and explanations.

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#endpoint_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new PredictionService client object.

Examples:


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

# Create a client using a custom configuration
client = ::Google::Cloud::AIPlatform::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/ai_platform/v1/prediction_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/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

  @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

  @prediction_service_stub = ::Gapic::ServiceStub.new(
    ::Google::Cloud::AIPlatform::V1::PredictionService::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/prediction_service/client.rb', line 171

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/prediction_service/client.rb', line 164

def location_client
  @location_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::AIPlatform::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/ai_platform/v1/prediction_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

#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/ai_platform/v1/prediction_service/client.rb', line 90

def configure
  yield @config if block_given?
  @config
end

#explain(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ExplainResponse #explain(endpoint: nil, instances: nil, parameters: nil, explanation_spec_override: nil, deployed_model_id: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ExplainResponse

Perform an online explanation.

If deployed_model_id is specified, the corresponding DeployModel must have explanation_spec populated. If deployed_model_id is not specified, all DeployedModels must have explanation_spec populated. Only deployed AutoML tabular Models have explanation_spec.

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::PredictionService::Client.new

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

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

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

Overloads:

  • #explain(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::ExplainResponse

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

    Parameters:

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

  • #explain(endpoint: nil, instances: nil, parameters: nil, explanation_spec_override: nil, deployed_model_id: nil) ⇒ ::Google::Cloud::AIPlatform::V1::ExplainResponse

    Pass arguments to explain 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:

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

      Required. The name of the Endpoint requested to serve the explanation. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

    • instances (::Array<::Google::Protobuf::Value, ::Hash>) (defaults to: nil) —

      Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] instance_schema_uri.

    • parameters (::Google::Protobuf::Value, ::Hash) (defaults to: nil) —

      The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] parameters_schema_uri.

    • explanation_spec_override (::Google::Cloud::AIPlatform::V1::ExplanationSpecOverride, ::Hash) (defaults to: nil) —

      If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

      • Explaining top-5 predictions results as opposed to top-1;
      • Increasing path count or step count of the attribution methods to reduce approximate errors;
      • Using different baselines for explaining the prediction results.
    • deployed_model_id (::String) (defaults to: nil) —

      If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding Endpoint.traffic_split.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/prediction_service/client.rb', line 468

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

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

  # 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.explain.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.endpoint
    header_params["endpoint"] = request.endpoint
  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.explain.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.explain.retry_policy

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

  @prediction_service_stub.call_rpc :explain, 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

#predict(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::PredictResponse #predict(endpoint: nil, instances: nil, parameters: nil) ⇒ ::Google::Cloud::AIPlatform::V1::PredictResponse

Perform an online prediction.

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::PredictionService::Client.new

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

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

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

Overloads:

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

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

    Parameters:

    • request (::Google::Cloud::AIPlatform::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(endpoint: nil, instances: nil, parameters: nil) ⇒ ::Google::Cloud::AIPlatform::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:

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

      Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

    • instances (::Array<::Google::Protobuf::Value, ::Hash>) (defaults to: nil) —

      Required. The instances that are the input to the prediction call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] instance_schema_uri.

    • parameters (::Google::Protobuf::Value, ::Hash) (defaults to: nil) —

      The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] parameters_schema_uri.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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

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

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::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 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.endpoint
    header_params["endpoint"] = request.endpoint
  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

#raw_predict(request, options = nil) ⇒ ::Google::Api::HttpBody #raw_predict(endpoint: nil, http_body: nil) ⇒ ::Google::Api::HttpBody

Perform an online prediction with an arbitrary HTTP payload.

The response includes the following HTTP headers:

  • X-Vertex-AI-Endpoint-Id: ID of the Endpoint that served this prediction.

  • X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's DeployedModel that served this prediction.

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::PredictionService::Client.new

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

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

# The returned object is of type Google::Api::HttpBody.
p result

Overloads:

  • #raw_predict(request, options = nil) ⇒ ::Google::Api::HttpBody

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

    Parameters:

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

  • #raw_predict(endpoint: nil, http_body: nil) ⇒ ::Google::Api::HttpBody

    Pass arguments to raw_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:

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

      Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

    • http_body (::Google::Api::HttpBody, ::Hash) (defaults to: nil) —

      The prediction input. Supports HTTP headers and arbitrary data payload.

      A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.

      You can specify the schema for each instance in the predict_schemata.instance_schema_uri field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/prediction_service/client.rb', line 345

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

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

  # 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.raw_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::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

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

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

  @prediction_service_stub.call_rpc :raw_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