lib/svmkit/evaluation_measure/accuracy.rb in svmkit-0.2.9 vs lib/svmkit/evaluation_measure/accuracy.rb in svmkit-0.3.0

@@ -1,7 +1,8 @@
 # frozen_string_literal: true
 
+require 'svmkit/validation'
 require 'svmkit/base/evaluator'
 
 module SVMKit
   # This module consists of the classes for model evaluation.
   module EvaluationMeasure
@@ -11,10 +12,10 @@
     #   evaluator = SVMKit::EvaluationMeasure::Accuracy.new
     #   puts evaluator.score(ground_truth, predicted)
     class Accuracy
       include Base::Evaluator
 
-      # Claculate mean accuracy.
+      # Calculate mean accuracy.
       #
       # @param y_true [Numo::Int32] (shape: [n_samples]) Ground truth labels.
       # @param y_pred [Numo::Int32] (shape: [n_samples]) Predicted labels.
       # @return [Float] Mean accuracy
       def score(y_true, y_pred)