(ClassificationDataSet dataSet, ExecutorService threadPool)
| 252 | } |
| 253 | |
| 254 | @Override |
| 255 | public void trainC(ClassificationDataSet dataSet, ExecutorService threadPool) |
| 256 | { |
| 257 | if(useDefaultSelectionCount) |
| 258 | baseTree.setSelectionCount((int)max(round(sqrt(dataSet.getNumFeatures())), 1)); |
| 259 | if(useDefaultStopSize) |
| 260 | baseTree.setStopSize(2); |
| 261 | |
| 262 | predicting = dataSet.getPredicting(); |
| 263 | |
| 264 | doTraining(threadPool, dataSet); |
| 265 | } |
| 266 | |
| 267 | @Override |
| 268 | public void trainC(ClassificationDataSet dataSet) |