Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextSentimentEvaluationMetrics

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

Model evaluation metrics for text sentiment problems.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextSentimentEvaluationMetrics

Returns a new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsTextSentimentEvaluationMetrics.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27435

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

Instance Attribute Details

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

Confusion matrix of the evaluation. Only set for ModelEvaluations, not for ModelEvaluationSlices. Corresponds to the JSON property confusionMatrix

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27394

def confusion_matrix
  @confusion_matrix
end

#f1_score ⇒ Float

The harmonic mean of recall and precision. Corresponds to the JSON property f1Score

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27399

def f1_score
  @f1_score
end

#linear_kappa ⇒ Float

Linear weighted kappa. Only set for ModelEvaluations, not for ModelEvaluationSlices. Corresponds to the JSON property linearKappa

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27405

def linear_kappa
  @linear_kappa
end

#mean_absolute_error ⇒ Float

Mean absolute error. Only set for ModelEvaluations, not for ModelEvaluationSlices. Corresponds to the JSON property meanAbsoluteError

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27411

def mean_absolute_error
  @mean_absolute_error
end

#mean_squared_error ⇒ Float

Mean squared error. Only set for ModelEvaluations, not for ModelEvaluationSlices. Corresponds to the JSON property meanSquaredError

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27417

def mean_squared_error
  @mean_squared_error
end

#precision ⇒ Float

Precision. Corresponds to the JSON property precision

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27422

def precision
  @precision
end

#quadratic_kappa ⇒ Float

Quadratic weighted kappa. Only set for ModelEvaluations, not for ModelEvaluationSlices. Corresponds to the JSON property quadraticKappa

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27428

def quadratic_kappa
  @quadratic_kappa
end

#recall ⇒ Float

Recall. Corresponds to the JSON property recall

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27433

def recall
  @recall
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 27440

def update!(**args)
  @confusion_matrix = args[:confusion_matrix] if args.key?(:confusion_matrix)
  @f1_score = args[:f1_score] if args.key?(:f1_score)
  @linear_kappa = args[:linear_kappa] if args.key?(:linear_kappa)
  @mean_absolute_error = args[:mean_absolute_error] if args.key?(:mean_absolute_error)
  @mean_squared_error = args[:mean_squared_error] if args.key?(:mean_squared_error)
  @precision = args[:precision] if args.key?(:precision)
  @quadratic_kappa = args[:quadratic_kappa] if args.key?(:quadratic_kappa)
  @recall = args[:recall] if args.key?(:recall)
end