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Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
package org.apache.mahout.df;
Builds a tree using bagging
public class Bagging {
  private static final Logger log = LoggerFactory.getLogger(Bagging.class);
  private final TreeBuilder treeBuilder;
  private final Data data;
  private final boolean[] sampled;
  public Bagging(TreeBuilder treeBuilderData data) {
    this. = treeBuilder;
    this. = data;
     = new boolean[data.size()];

Builds one tree

treeId tree identifier
java.lang.RuntimeException if the data is not set
  public Node build(int treeIdRandom rngPredictionCallback callback) {
    Data bag = .bagging(rng);
    Node tree = .build(rngbag);
    // predict the label for the out-of-bag elements
    if (callback != null) {
      .debug("Oob error estimation");
      for (int index = 0; index < .size(); index++) {
        if ([index] == false) {
          int prediction = tree.classify(.get(index));
    return tree;
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