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.



26850
26851
26852
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26850

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) 


26823
26824
26825
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26823

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) 


26829
26830
26831
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26829

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:



26838
26839
26840
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26838

def confidence_metrics
  @confidence_metrics
end

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

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

Returns:



26843
26844
26845
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26843

def confusion_matrix
  @confusion_matrix
end

#log_loss ⇒ Float

The Log Loss metric. Corresponds to the JSON property logLoss

Returns:

  • (Float) 


26848
26849
26850
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26848

def log_loss
  @log_loss
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



26855
26856
26857
26858
26859
26860
26861
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 26855

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