lib/svmkit/base/classifier.rb in svmkit-0.2.5 vs lib/svmkit/base/classifier.rb in svmkit-0.2.6

@@ -1,5 +1,6 @@
+# frozen_string_literal: true
 
 module SVMKit
   module Base
     # Module for all classifiers in SVMKit.
     module Classifier
@@ -11,12 +12,17 @@
       # An abstract method for predicting labels.
       def predict
         raise NotImplementedError, "#{__method__} has to be implemented in #{self.class}."
       end
 
-      # An abstract method for calculating classification accuracy.
-      def score
-        raise NotImplementedError, "#{__method__} has to be implemented in #{self.class}."
+      # Claculate the mean accuracy of the given testing data.
+      #
+      # @param x [Numo::DFloat] (shape: [n_samples, n_features]) Testing data.
+      # @param y [Numo::Int32] (shape: [n_samples]) True labels for testing data.
+      # @return [Float] Mean accuracy
+      def score(x, y)
+        evaluator = SVMKit::EvaluationMeasure::Accuracy.new
+        evaluator.score(y, predict(x))
       end
     end
   end
 end