Trains the classifier and constructs a model for classification using the given data set. If the training method knows how, it will used the threadPool to conduct training in parallel. This method will block until the training has completed. @param dataSet the data set to train on @param t
(ClassificationDataSet dataSet, ExecutorService threadPool)
| 33 | * @throws FailedToFitException if the model is unable to be constructed for some reason |
| 34 | */ |
| 35 | public void trainC(ClassificationDataSet dataSet, ExecutorService threadPool); |
| 36 | /** |
| 37 | * Trains the classifier and constructs a model for classification using the |
| 38 | * given data set. |
no outgoing calls