Point Cloud Library (PCL)  1.12.1-dev
decision_forest_trainer.hpp
1 /*
2  * Software License Agreement (BSD License)
3  *
4  * Point Cloud Library (PCL) - www.pointclouds.org
5  * Copyright (c) 2010-2011, Willow Garage, Inc.
6  *
7  * All rights reserved.
8  *
9  * Redistribution and use in source and binary forms, with or without
10  * modification, are permitted provided that the following conditions
11  * are met:
12  *
13  * * Redistributions of source code must retain the above copyright
14  * notice, this list of conditions and the following disclaimer.
15  * * Redistributions in binary form must reproduce the above
16  * copyright notice, this list of conditions and the following
17  * disclaimer in the documentation and/or other materials provided
18  * with the distribution.
19  * * Neither the name of Willow Garage, Inc. nor the names of its
20  * contributors may be used to endorse or promote products derived
21  * from this software without specific prior written permission.
22  *
23  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
24  * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
25  * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
26  * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
27  * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
28  * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
29  * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
30  * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
31  * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
32  * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
33  * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
34  * POSSIBILITY OF SUCH DAMAGE.
35  *
36  */
37 
38 #pragma once
39 
40 namespace pcl {
41 
42 template <class FeatureType,
43  class DataSet,
44  class LabelType,
45  class ExampleIndex,
46  class NodeType>
49 : num_of_trees_to_train_(1), decision_tree_trainer_()
50 {}
51 
52 template <class FeatureType,
53  class DataSet,
54  class LabelType,
55  class ExampleIndex,
56  class NodeType>
58  ~DecisionForestTrainer() = default;
59 
60 template <class FeatureType,
61  class DataSet,
62  class LabelType,
63  class ExampleIndex,
64  class NodeType>
65 void
68 {
69  for (std::size_t tree_index = 0; tree_index < num_of_trees_to_train_; ++tree_index) {
71  decision_tree_trainer_.train(tree);
72 
73  forest.push_back(tree);
74  }
75 }
76 
77 } // namespace pcl
Class representing a decision forest.
virtual ~DecisionForestTrainer()
Destructor.
void train(DecisionForest< NodeType > &forest)
Trains a decision forest using the set training data and settings.
Class representing a decision tree.
Definition: decision_tree.h:49