def load_training_set(self, filename, encoding='UTF-8'): """\ Load the given training data set into memory and strip it if configured to via the train_part parameter. """ log_info('Loading training data set from ' + str(filename) + '...') train = DataSet() train.load_from_arff(filename, encoding) if self.train_part < 1: train = train.subset(0, int(round(self.train_part * len(train))), copy=False) return train