kernel_svc.rb in rumale-0.12.0

- old
+ new

@@ -200,13 +200,14 @@
       def binary_fit(x, bin_y)
         # Initialize some variables.
         n_training_samples = x.shape[0]
         rand_ids = []
         weight_vec = Numo::DFloat.zeros(n_training_samples)
+        sub_rng = @rng.dup
         # Start optimization.
         @params[:max_iter].times do |t|
           # random sampling
-          rand_ids = [*0...n_training_samples].shuffle(random: @rng) if rand_ids.empty?
+          rand_ids = [*0...n_training_samples].shuffle(random: sub_rng) if rand_ids.empty?
           target_id = rand_ids.shift
           # update the weight vector
           func = (weight_vec * bin_y).dot(x[target_id, true].transpose).to_f
           func *= bin_y[target_id] / (@params[:reg_param] * (t + 1))
           weight_vec[target_id] += 1.0 if func < 1.0