Point Cloud Library (PCL) 1.13.0
decision_forest_trainer.hpp
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37
38#pragma once
39
40namespace pcl {
41
42template <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
52template <class FeatureType,
53 class DataSet,
54 class LabelType,
55 class ExampleIndex,
56 class NodeType>
58 ~DecisionForestTrainer() = default;
59
60template <class FeatureType,
61 class DataSet,
62 class LabelType,
63 class ExampleIndex,
64 class NodeType>
65void
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