fix issue #3

Author: icoxfog417

lib/nn.cc

@@ -22,6 +22,7 @@
 #include "nn.hh"
 
 #include <sstream>
+#include <algorithm>
 
 using namespace v8;
 using namespace node;
@@ -449,7 +450,7 @@ void NN::mt_train(double error = 0.01,
  //cout << endl << "IT[" << it << "] Step " << step << endl;
  //cout << "Initializing children NNs... ";
  /* Copy and initialize children NN */
- NN* nns[thread];
+ NN** nns = new NN*[thread];
  for(int i = 0; i < thread; i++) {
  nns[i] = new NN(*this);
  nns[i]->train_set_clear();
@@ -471,8 +472,8 @@ void NN::mt_train(double error = 0.01,
 
  /* Launch threads */
  //cout << "Launch threads... ";
- uv_thread_t nns_ids[n_thread];
- MT_NN::LearnWorker *workers[n_thread];
+ uv_thread_t* nns_ids = new uv_thread_t[n_thread];
+ MT_NN::LearnWorker** workers = new MT_NN::LearnWorker*[n_thread];
  for(int i = 0; i < n_thread; i++) {
  workers[i] = new MT_NN::LearnWorker();
  workers[i]->nn = nns[i];
@@ -1076,7 +1077,7 @@ int MT_NN::split_data(NN** nns, int no_nns, int step, int step_size,
  vector< vector<double> > train_out)
 {
  unsigned int total = 0;
- int max_to_insert = min((step + 1) * no_nns * step_size,
+ int max_to_insert = std::min((step + 1) * no_nns * step_size,
  (int)train_in.size());
  int to_insert = 0;