int[][] order = SmileUtils.sort(attributes, x); List<TrainingTask> tasks = new ArrayList<>(); for (int i = 0; i < ntrees; i++) {
int[] oob = new int[n]; int[][] order = SmileUtils.sort(attributes, x); List<TrainingTask> tasks = new ArrayList<>(); for (int i = 0; i < ntrees; i++) {
int[][] order = SmileUtils.sort(attributes, x);
final int[][] order = SmileUtils.sort(_attributes, x); final RegressionTree.NodeOutput output = new L2NodeOutput(response);
int[][] order = SmileUtils.sort(attributes, x); trees = new RegressionTree[ntrees];
final double[][] response = new double[k][n]; // pseudo response. final int[][] order = SmileUtils.sort(_attributes, x); final RegressionTree.NodeOutput[] output = new LKNodeOutput[k]; for(int i = 0; i < k; i++) {
double[][] response = new double[k][n]; // pseudo response. int[][] order = SmileUtils.sort(attributes, x); forest = new RegressionTree[k][ntrees];
int[][] order = SmileUtils.sort(attributes, x); RegressionTree.NodeOutput output = new L2NodeOutput(response); trees = new RegressionTree[ntrees];