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.



22146
22147
22148
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22146

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) 


22119
22120
22121
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22119

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) 


22125
22126
22127
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22125

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:



22134
22135
22136
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22134

def confidence_metrics
  @confidence_metrics
end

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

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

Returns:



22139
22140
22141
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22139

def confusion_matrix
  @confusion_matrix
end

#log_loss ⇒ Float

The Log Loss metric. Corresponds to the JSON property logLoss

Returns:

  • (Float) 


22144
22145
22146
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22144

def log_loss
  @log_loss
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



22151
22152
22153
22154
22155
22156
22157
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22151

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