Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EvaluationConfig

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

Evaluation Config for Tuning Job.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1EvaluationConfig

Returns a new instance of GoogleCloudAiplatformV1beta1EvaluationConfig.



18810
18811
18812
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18810

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:



18786
18787
18788
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18786

def autorater_config
  @autorater_config
end

#dataset_custom_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetCustomMetric>

Optional. Specifications for custom dataset-level aggregations. Corresponds to the JSON property datasetCustomMetrics

Returns:



18791
18792
18793
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18791

def dataset_custom_metrics
  @dataset_custom_metrics
end

#inference_generation_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerationConfig

Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. Corresponds to the JSON property inferenceGenerationConfig

Returns:



18798
18799
18800
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18798

def inference_generation_config
  @inference_generation_config
end

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

Required. The metrics used for evaluation. Corresponds to the JSON property metrics

Returns:



18803
18804
18805
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18803

def metrics
  @metrics
end

#output_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1OutputConfig

Config for evaluation output. Corresponds to the JSON property outputConfig

Returns:



18808
18809
18810
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18808

def output_config
  @output_config
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



18815
18816
18817
18818
18819
18820
18821
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18815

def update!(**args)
  @autorater_config = args[:autorater_config] if args.key?(:autorater_config)
  @dataset_custom_metrics = args[:dataset_custom_metrics] if args.key?(:dataset_custom_metrics)
  @inference_generation_config = args[:inference_generation_config] if args.key?(:inference_generation_config)
  @metrics = args[:metrics] if args.key?(:metrics)
  @output_config = args[:output_config] if args.key?(:output_config)
end