Package org.apache.mahout.df.ref

Source Code of org.apache.mahout.df.ref.SequentialBuilder

/**
* 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
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* 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.ref;

import java.util.ArrayList;
import java.util.List;
import java.util.Random;

import org.apache.mahout.df.Bagging;
import org.apache.mahout.df.DecisionForest;
import org.apache.mahout.df.builder.TreeBuilder;
import org.apache.mahout.df.callback.PredictionCallback;
import org.apache.mahout.df.data.Data;
import org.apache.mahout.df.node.Node;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
* Builds a Random Decision Forest using a given TreeBuilder to grow the trees
*/
public class SequentialBuilder {

  private static final Logger log = LoggerFactory.getLogger(SequentialBuilder.class);

  private final Random rng;
 
  private final Bagging bagging;

  /**
   * Constructor
   *
   * @param rng random-numbers generator
   * @param treeBuilder tree builder
   * @param data training data
   */
  public SequentialBuilder(Random rng, TreeBuilder treeBuilder, Data data) {
    this.rng = rng;
    bagging = new Bagging(treeBuilder, data);
  }

  public DecisionForest build(int nbTrees, PredictionCallback callback) {
    List<Node> trees = new ArrayList<Node>();
   
    for (int treeId = 0; treeId < nbTrees; treeId++) {
      trees.add(bagging.build(treeId, rng, callback));
      logProgress(((float) treeId + 1) / nbTrees);
    }

    return new DecisionForest(trees);
  }
 
  private static void logProgress(float progress) {
    int percent = (int) (progress * 100);
    if (percent % 10 == 0)
      log.info(String.format("Building %2d%%", percent));

  }

}
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