Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::EvaluationService::Client (v0.52.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::EvaluationService::Client.

Client for the EvaluationService service.

Vertex AI Online Evaluation Service.

Inherits

  • Object

Includes

Methods

.configure

def self.configure() { |config| ... } -> Client::Configuration

Configure the EvaluationService Client class.

See Configuration for a description of the configuration fields.

Yields
  • (config) — Configure the Client client.
Yield Parameter
Returns
Example 
# Modify the configuration for all EvaluationService clients
::Google::Cloud::AIPlatform::V1::EvaluationService::Client.configure do |config|
  config.timeout = 10.0
end

#configure

def configure() { |config| ... } -> Client::Configuration

Configure the EvaluationService 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 Client.configure.

See Configuration for a description of the configuration fields.

Yields
  • (config) — Configure the Client client.
Yield Parameter
Returns

#evaluate_instances

def evaluate_instances(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EvaluateInstancesResponse
def evaluate_instances(exact_match_input: nil, bleu_input: nil, rouge_input: nil, fluency_input: nil, coherence_input: nil, safety_input: nil, groundedness_input: nil, fulfillment_input: nil, summarization_quality_input: nil, pairwise_summarization_quality_input: nil, summarization_helpfulness_input: nil, summarization_verbosity_input: nil, question_answering_quality_input: nil, pairwise_question_answering_quality_input: nil, question_answering_relevance_input: nil, question_answering_helpfulness_input: nil, question_answering_correctness_input: nil, pointwise_metric_input: nil, pairwise_metric_input: nil, tool_call_valid_input: nil, tool_name_match_input: nil, tool_parameter_key_match_input: nil, tool_parameter_kv_match_input: nil, location: nil) -> ::Google::Cloud::AIPlatform::V1::EvaluateInstancesResponse

Evaluates instances based on a given metric.

Overloads 
def evaluate_instances(request, options = nil) -> ::Google::Cloud::AIPlatform::V1::EvaluateInstancesResponse
Pass arguments to evaluate_instances via a request object, either of type Google::Cloud::AIPlatform::V1::EvaluateInstancesRequest or an equivalent Hash.
Parameters
  • request (::Google::Cloud::AIPlatform::V1::EvaluateInstancesRequest, ::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) — Overrides the default settings for this call, e.g, timeout, retries, etc. Optional. 
def evaluate_instances(exact_match_input: nil, bleu_input: nil, rouge_input: nil, fluency_input: nil, coherence_input: nil, safety_input: nil, groundedness_input: nil, fulfillment_input: nil, summarization_quality_input: nil, pairwise_summarization_quality_input: nil, summarization_helpfulness_input: nil, summarization_verbosity_input: nil, question_answering_quality_input: nil, pairwise_question_answering_quality_input: nil, question_answering_relevance_input: nil, question_answering_helpfulness_input: nil, question_answering_correctness_input: nil, pointwise_metric_input: nil, pairwise_metric_input: nil, tool_call_valid_input: nil, tool_name_match_input: nil, tool_parameter_key_match_input: nil, tool_parameter_kv_match_input: nil, location: nil) -> ::Google::Cloud::AIPlatform::V1::EvaluateInstancesResponse
Pass arguments to evaluate_instances 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
Yields
  • (response, operation) — Access the result along with the RPC operation
Yield Parameters
Returns
Raises
  • (::Google::Cloud::Error) — if the RPC is aborted.
Example

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::EvaluationService::Client.new

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

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

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

#iam_policy_client

def iam_policy_client() -> Google::Iam::V1::IAMPolicy::Client

Get the associated client for mix-in of the IAMPolicy.

Returns
  • (Google::Iam::V1::IAMPolicy::Client)

#initialize

def initialize() { |config| ... } -> Client

Create a new EvaluationService client object.

Yields
  • (config) — Configure the EvaluationService client.
Yield Parameter
Returns
  • (Client) — a new instance of Client
Example 
# Create a client using the default configuration
client = ::Google::Cloud::AIPlatform::V1::EvaluationService::Client.new

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

#location_client

def location_client() -> Google::Cloud::Location::Locations::Client

Get the associated client for mix-in of the Locations.

Returns
  • (Google::Cloud::Location::Locations::Client)

#universe_domain

def universe_domain() -> String

The effective universe domain

Returns
  • (String)