svr.rb in svmkit-0.3.3

- old
+ new

@@ -19,15 +19,15 @@
     # 1. S. Shalev-Shwartz and Y. Singer, "Pegasos: Primal Estimated sub-GrAdient SOlver for SVM," Proc. ICML'07, pp. 807--814, 2007.
     class SVR
       include Base::BaseEstimator
       include Base::Regressor
 
-      # Return the weight vector for SVC.
+      # Return the weight vector for SVR.
       # @return [Numo::DFloat] (shape: [n_outputs, n_features])
       attr_reader :weight_vec
 
-      # Return the bias term (a.k.a. intercept) for SVC.
+      # Return the bias term (a.k.a. intercept) for SVR.
       # @return [Numo::DFloat] (shape: [n_outputs])
       attr_reader :bias_term
 
       # Return the random generator for performing random sampling.
       # @return [Random]
@@ -102,10 +102,10 @@
         SVMKit::Validation.check_sample_array(x)
         x.dot(@weight_vec.transpose) + @bias_term
       end
 
       # Dump marshal data.
-      # @return [Hash] The marshal data about SVC.
+      # @return [Hash] The marshal data about SVR.
       def marshal_dump
         { params: @params,
           weight_vec: @weight_vec,
           bias_term: @bias_term,
           rng: @rng }