FIX: Added missing parameter (batch size) into Gradient Descent method.

src/LearningMethods/GradientDescent.cpp

@@ -89,7 +89,7 @@ namespace lib4neuro {
             /* reset of the current gradient */
             std::fill(gradient_current->begin(), gradient_current->end(), 0.0);
 //        std::fill(gradient_mem.begin(), gradient_mem.end(), 0.0);
-            ef.calculate_error_gradient(*params_current, *gradient_current);
+            ef.calculate_error_gradient(*params_current, *gradient_current, this->batch);
 //        double error_analytical = this->calculate_gradient( ef.get_dataset()->get_data(), (size_t)2, params_current, gradient_current );
 
 //        for(size_t k = 0; k < gradient_mem.size(); ++k){
@@ -163,13 +163,13 @@ namespace lib4neuro {
         } else {
             COUT_INFO("Gradient Descent method converged after "
                       << this->maximum_niters-iter_idx
-                      << "iterations."
+                      << " iterations."
                       << std::endl);
 #ifdef L4N_DEBUG
             if(ofs && ofs->is_open()) {
                 *ofs << "Gradient Descent method converged after "
                       << this->maximum_niters-iter_idx
-                      << "iterations."
+                      << " iterations."
                       << std::endl;
             }
 #endif