Point Cloud Library (PCL)  1.14.1-dev
decision_forest_trainer.hpp
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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 : 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