Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EvaluateInstancesRequest

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Request message for EvaluationService.EvaluateInstances.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1EvaluateInstancesRequest

Returns a new instance of GoogleCloudAiplatformV1beta1EvaluateInstancesRequest.



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10486

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#autorater_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AutoraterConfig

The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. Corresponds to the JSON property autoraterConfig

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10297

def autorater_config
  @autorater_config
end

#bleu_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BleuInput

Input for bleu metric. Corresponds to the JSON property bleuInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10302

def bleu_input
  @bleu_input
end

#coherence_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CoherenceInput

Input for coherence metric. Corresponds to the JSON property coherenceInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10307

def coherence_input
  @coherence_input
end

#comet_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CometInput

Input for Comet metric. Corresponds to the JSON property cometInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10312

def comet_input
  @comet_input
end

#exact_match_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExactMatchInput

Input for exact match metric. Corresponds to the JSON property exactMatchInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10317

def exact_match_input
  @exact_match_input
end

#fluency_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FluencyInput

Input for fluency metric. Corresponds to the JSON property fluencyInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10322

def fluency_input
  @fluency_input
end

#fulfillment_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FulfillmentInput

Input for fulfillment metric. Corresponds to the JSON property fulfillmentInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10327

def fulfillment_input
  @fulfillment_input
end

#groundedness_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GroundednessInput

Input for groundedness metric. Corresponds to the JSON property groundednessInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10332

def groundedness_input
  @groundedness_input
end

#instance ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EvaluationInstance

A single instance to be evaluated. Instances are used to specify the input data for evaluation, from simple string comparisons to complex, multi-turn model evaluations Corresponds to the JSON property instance

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10339

def instance
  @instance
end

#location ⇒ String

Required. The resource name of the Location to evaluate the instances. Format: projects/project/locations/location` Corresponds to the JSON propertylocation`

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10345

def location
  @location
end

#metric_sources ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetricSource>

Optional. The metrics (either inline or registered) used for evaluation. Currently, we only support evaluating a single metric. If multiple metrics are provided, only the first one will be evaluated. Corresponds to the JSON property metricSources

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10352

def metric_sources
  @metric_sources
end

#metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Metric>

The metrics used for evaluation. Currently, we only support evaluating a single metric. If multiple metrics are provided, only the first one will be evaluated. Corresponds to the JSON property metrics

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10359

def metrics
  @metrics
end

#metricx_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetricxInput

Input for MetricX metric. Corresponds to the JSON property metricxInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10364

def metricx_input
  @metricx_input
end

#pairwise_metric_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PairwiseMetricInput

Input for pairwise metric. Corresponds to the JSON property pairwiseMetricInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10369

def pairwise_metric_input
  @pairwise_metric_input
end

#pairwise_question_answering_quality_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PairwiseQuestionAnsweringQualityInput

Input for pairwise question answering quality metric. Corresponds to the JSON property pairwiseQuestionAnsweringQualityInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10374

def pairwise_question_answering_quality_input
  @pairwise_question_answering_quality_input
end

#pairwise_summarization_quality_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PairwiseSummarizationQualityInput

Input for pairwise summarization quality metric. Corresponds to the JSON property pairwiseSummarizationQualityInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10379

def pairwise_summarization_quality_input
  @pairwise_summarization_quality_input
end

#pointwise_metric_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PointwiseMetricInput

Input for pointwise metric. Corresponds to the JSON property pointwiseMetricInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10384

def pointwise_metric_input
  @pointwise_metric_input
end

#question_answering_correctness_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QuestionAnsweringCorrectnessInput

Input for question answering correctness metric. Corresponds to the JSON property questionAnsweringCorrectnessInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10389

def question_answering_correctness_input
  @question_answering_correctness_input
end

#question_answering_helpfulness_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QuestionAnsweringHelpfulnessInput

Input for question answering helpfulness metric. Corresponds to the JSON property questionAnsweringHelpfulnessInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10394

def question_answering_helpfulness_input
  @question_answering_helpfulness_input
end

#question_answering_quality_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QuestionAnsweringQualityInput

Input for question answering quality metric. Corresponds to the JSON property questionAnsweringQualityInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10399

def question_answering_quality_input
  @question_answering_quality_input
end

#question_answering_relevance_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QuestionAnsweringRelevanceInput

Input for question answering relevance metric. Corresponds to the JSON property questionAnsweringRelevanceInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10404

def question_answering_relevance_input
  @question_answering_relevance_input
end

#rouge_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RougeInput

Input for rouge metric. Corresponds to the JSON property rougeInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10409

def rouge_input
  @rouge_input
end

#rubric_based_instruction_following_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RubricBasedInstructionFollowingInput

Instance and metric spec for RubricBasedInstructionFollowing metric. Corresponds to the JSON property rubricBasedInstructionFollowingInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10414

def rubric_based_instruction_following_input
  @rubric_based_instruction_following_input
end

#safety_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SafetyInput

Input for safety metric. Corresponds to the JSON property safetyInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10419

def safety_input
  @safety_input
end

#summarization_helpfulness_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SummarizationHelpfulnessInput

Input for summarization helpfulness metric. Corresponds to the JSON property summarizationHelpfulnessInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10424

def summarization_helpfulness_input
  @summarization_helpfulness_input
end

#summarization_quality_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SummarizationQualityInput

Input for summarization quality metric. Corresponds to the JSON property summarizationQualityInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10429

def summarization_quality_input
  @summarization_quality_input
end

#summarization_verbosity_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SummarizationVerbosityInput

Input for summarization verbosity metric. Corresponds to the JSON property summarizationVerbosityInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10434

def summarization_verbosity_input
  @summarization_verbosity_input
end

#tool_call_valid_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ToolCallValidInput

Input for tool call valid metric. Corresponds to the JSON property toolCallValidInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10439

def tool_call_valid_input
  @tool_call_valid_input
end

#tool_name_match_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ToolNameMatchInput

Input for tool name match metric. Corresponds to the JSON property toolNameMatchInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10444

def tool_name_match_input
  @tool_name_match_input
end

#tool_parameter_key_match_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ToolParameterKeyMatchInput

Input for tool parameter key match metric. Corresponds to the JSON property toolParameterKeyMatchInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10449

def tool_parameter_key_match_input
  @tool_parameter_key_match_input
end

#tool_parameter_kv_match_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ToolParameterKvMatchInput

Input for tool parameter key value match metric. Corresponds to the JSON property toolParameterKvMatchInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10454

def tool_parameter_kv_match_input
  @tool_parameter_kv_match_input
end

#trajectory_any_order_match_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrajectoryAnyOrderMatchInput

Instances and metric spec for TrajectoryAnyOrderMatch metric. Corresponds to the JSON property trajectoryAnyOrderMatchInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10459

def trajectory_any_order_match_input
  @trajectory_any_order_match_input
end

#trajectory_exact_match_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrajectoryExactMatchInput

Instances and metric spec for TrajectoryExactMatch metric. Corresponds to the JSON property trajectoryExactMatchInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10464

def trajectory_exact_match_input
  @trajectory_exact_match_input
end

#trajectory_in_order_match_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrajectoryInOrderMatchInput

Instances and metric spec for TrajectoryInOrderMatch metric. Corresponds to the JSON property trajectoryInOrderMatchInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10469

def trajectory_in_order_match_input
  @trajectory_in_order_match_input
end

#trajectory_precision_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrajectoryPrecisionInput

Instances and metric spec for TrajectoryPrecision metric. Corresponds to the JSON property trajectoryPrecisionInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10474

def trajectory_precision_input
  @trajectory_precision_input
end

#trajectory_recall_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrajectoryRecallInput

Instances and metric spec for TrajectoryRecall metric. Corresponds to the JSON property trajectoryRecallInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10479

def trajectory_recall_input
  @trajectory_recall_input
end

#trajectory_single_tool_use_input ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrajectorySingleToolUseInput

Instances and metric spec for TrajectorySingleToolUse metric. Corresponds to the JSON property trajectorySingleToolUseInput

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10484

def trajectory_single_tool_use_input
  @trajectory_single_tool_use_input
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10491

def update!(**args)
  @autorater_config = args[:autorater_config] if args.key?(:autorater_config)
  @bleu_input = args[:bleu_input] if args.key?(:bleu_input)
  @coherence_input = args[:coherence_input] if args.key?(:coherence_input)
  @comet_input = args[:comet_input] if args.key?(:comet_input)
  @exact_match_input = args[:exact_match_input] if args.key?(:exact_match_input)
  @fluency_input = args[:fluency_input] if args.key?(:fluency_input)
  @fulfillment_input = args[:fulfillment_input] if args.key?(:fulfillment_input)
  @groundedness_input = args[:groundedness_input] if args.key?(:groundedness_input)
  @instance = args[:instance] if args.key?(:instance)
  @location = args[:location] if args.key?(:location)
  @metric_sources = args[:metric_sources] if args.key?(:metric_sources)
  @metrics = args[:metrics] if args.key?(:metrics)
  @metricx_input = args[:metricx_input] if args.key?(:metricx_input)
  @pairwise_metric_input = args[:pairwise_metric_input] if args.key?(:pairwise_metric_input)
  @pairwise_question_answering_quality_input = args[:pairwise_question_answering_quality_input] if args.key?(:pairwise_question_answering_quality_input)
  @pairwise_summarization_quality_input = args[:pairwise_summarization_quality_input] if args.key?(:pairwise_summarization_quality_input)
  @pointwise_metric_input = args[:pointwise_metric_input] if args.key?(:pointwise_metric_input)
  @question_answering_correctness_input = args[:question_answering_correctness_input] if args.key?(:question_answering_correctness_input)
  @question_answering_helpfulness_input = args[:question_answering_helpfulness_input] if args.key?(:question_answering_helpfulness_input)
  @question_answering_quality_input = args[:question_answering_quality_input] if args.key?(:question_answering_quality_input)
  @question_answering_relevance_input = args[:question_answering_relevance_input] if args.key?(:question_answering_relevance_input)
  @rouge_input = args[:rouge_input] if args.key?(:rouge_input)
  @rubric_based_instruction_following_input = args[:rubric_based_instruction_following_input] if args.key?(:rubric_based_instruction_following_input)
  @safety_input = args[:safety_input] if args.key?(:safety_input)
  @summarization_helpfulness_input = args[:summarization_helpfulness_input] if args.key?(:summarization_helpfulness_input)
  @summarization_quality_input = args[:summarization_quality_input] if args.key?(:summarization_quality_input)
  @summarization_verbosity_input = args[:summarization_verbosity_input] if args.key?(:summarization_verbosity_input)
  @tool_call_valid_input = args[:tool_call_valid_input] if args.key?(:tool_call_valid_input)
  @tool_name_match_input = args[:tool_name_match_input] if args.key?(:tool_name_match_input)
  @tool_parameter_key_match_input = args[:tool_parameter_key_match_input] if args.key?(:tool_parameter_key_match_input)
  @tool_parameter_kv_match_input = args[:tool_parameter_kv_match_input] if args.key?(:tool_parameter_kv_match_input)
  @trajectory_any_order_match_input = args[:trajectory_any_order_match_input] if args.key?(:trajectory_any_order_match_input)
  @trajectory_exact_match_input = args[:trajectory_exact_match_input] if args.key?(:trajectory_exact_match_input)
  @trajectory_in_order_match_input = args[:trajectory_in_order_match_input] if args.key?(:trajectory_in_order_match_input)
  @trajectory_precision_input = args[:trajectory_precision_input] if args.key?(:trajectory_precision_input)
  @trajectory_recall_input = args[:trajectory_recall_input] if args.key?(:trajectory_recall_input)
  @trajectory_single_tool_use_input = args[:trajectory_single_tool_use_input] if args.key?(:trajectory_single_tool_use_input)
end