Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsClassificationEvaluationMetrics

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

Metrics for classification evaluation results.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsClassificationEvaluationMetrics

Returns a new instance of GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsClassificationEvaluationMetrics.



20390
20391
20392
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20390

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

Instance Attribute Details

#au_prc ⇒ Float

The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation. Corresponds to the JSON property auPrc

Returns:

  • (Float) 


20363
20364
20365
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20363

def au_prc
  @au_prc
end

#au_roc ⇒ Float

The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation. Corresponds to the JSON property auRoc

Returns:

  • (Float) 


20369
20370
20371
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20369

def au_roc
  @au_roc
end

#confidence_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsClassificationEvaluationMetricsConfidenceMetrics>

Metrics for each confidenceThreshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0. 98,0.99 and positionThreshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of positionThreshold, but from these no aggregated metrics are computed. Corresponds to the JSON property confidenceMetrics

Returns:



20378
20379
20380
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20378

def confidence_metrics
  @confidence_metrics
end

#confusion_matrix ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsConfusionMatrix

Confusion matrix of the evaluation. Corresponds to the JSON property confusionMatrix

Returns:



20383
20384
20385
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20383

def confusion_matrix
  @confusion_matrix
end

#log_loss ⇒ Float

The Log Loss metric. Corresponds to the JSON property logLoss

Returns:

  • (Float) 


20388
20389
20390
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20388

def log_loss
  @log_loss
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



20395
20396
20397
20398
20399
20400
20401
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20395

def update!(**args)
  @au_prc = args[:au_prc] if args.key?(:au_prc)
  @au_roc = args[:au_roc] if args.key?(:au_roc)
  @confidence_metrics = args[:confidence_metrics] if args.key?(:confidence_metrics)
  @confusion_matrix = args[:confusion_matrix] if args.key?(:confusion_matrix)
  @log_loss = args[:log_loss] if args.key?(:log_loss)
end