lib/svmkit/linear_model/logistic_regression.rb in svmkit-0.2.2 vs lib/svmkit/linear_model/logistic_regression.rb in svmkit-0.2.3

@@ -72,10 +72,10 @@
             [samples, Numo::DFloat.ones([x.shape[0], 1]) * @params[:bias_scale]]
           )
         end
         # Initialize some variables.
         n_samples, n_features = samples.shape
-        rand_ids = [*0..n_samples - 1].shuffle(random: @rng)
+        rand_ids = [*0...n_samples].shuffle(random: @rng)
         weight_vec = Numo::DFloat.zeros(n_features)
         # Start optimization.
         @params[:max_iter].times do |t|
           # random sampling
           subset_ids = rand_ids.shift(@params[:batch_size])