Пример #1
0
 public void train(int maxIter) {
   features.setEmpiricalWeight(sampleList.size());
   for (int i = 0; i < maxIter; ++i) {
     features.updateModelWeight(sampleList);
     if (features.isConvergence(0.435)) {
       break;
     }
   }
 }