Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetrics

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

Metrics for classification evaluation results.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetrics

Returns a new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetrics.



27523
27524
27525
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27523

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) 


27496
27497
27498
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27496

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) 


27502
27503
27504
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27502

def au_roc
  @au_roc
end

#confidence_metrics ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsClassificationEvaluationMetricsConfidenceMetrics>

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:



27511
27512
27513
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27511

def confidence_metrics
  @confidence_metrics
end

#confusion_matrix ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix

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

Returns:



27516
27517
27518
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27516

def confusion_matrix
  @confusion_matrix
end

#log_loss ⇒ Float

The Log Loss metric. Corresponds to the JSON property logLoss

Returns:

  • (Float) 


27521
27522
27523
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27521

def log_loss
  @log_loss
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



27528
27529
27530
27531
27532
27533
27534
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27528

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