lib/rumale/linear_model/svc.rb in rumale-linear_model-0.28.0 vs lib/rumale/linear_model/svc.rb in rumale-linear_model-0.28.1

@@ -165,10 +165,11 @@
           indices = t.gt(0)
           grad = reg_param * w
           if indices.count.positive?
             sx = x[indices, true]
             sy = y[indices]
-            grad += 2.fdiv(n_samples) * sx.transpose.dot((sx.dot(w) - sy))
+            sz = z[indices]
+            grad += 2.fdiv(n_samples) * (sz - sy).dot(sx)
           end
           [loss, grad]
         end
 
         n_features = base_x.shape[1]