docs: public static void trainEpochs(ClassificationDataSet dataSet, UpdateableClassifier toTrain, int epochs)
      {
          if(epochs < 1)
              throw new IllegalArgumentException("epochs must be positive");
          toTrain.setUp(dataSet.getCategories(), dataSet.getNumNumericalVars(), 
                  dataSet.getPredicting());
          IntList randomOrder = new IntList(dataSet.size());
          ListUtils.addRange(randomOrder, 0, dataSet.size(), 1);
          for (int epoch = 0; epoch < epochs; epoch++)
          {
              Collections.shuffle(randomOrder);
              for (int i : randomOrder)
                  toTrain.update(dataSet.getDataPoint(i), dataSet.getWeight(i), dataSet.getDataPointCategory(i));
          }
      }