Point Cloud Library (PCL)  1.9.1
decision_forest_trainer.hpp
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37 
38 #ifndef PCL_ML_DT_DECISION_FOREST_TRAINER_HPP_
39 #define PCL_ML_DT_DECISION_FOREST_TRAINER_HPP_
40 
41 //////////////////////////////////////////////////////////////////////////////////////////////////////////////////
42 template <class FeatureType, class DataSet, class LabelType, class ExampleIndex, class NodeType>
44  : num_of_trees_to_train_ (1)
45  , decision_tree_trainer_ ()
46 {
47 
48 }
49 
50 //////////////////////////////////////////////////////////////////////////////////////////////////////////////////
51 template <class FeatureType, class DataSet, class LabelType, class ExampleIndex, class NodeType>
53 {
54 
55 }
56 
57 //////////////////////////////////////////////////////////////////////////////////////////////////////////////////
58 template <class FeatureType, class DataSet, class LabelType, class ExampleIndex, class NodeType>
59 void
62 {
63  for (size_t tree_index = 0; tree_index < num_of_trees_to_train_; ++tree_index)
64  {
66  decision_tree_trainer_.train (tree);
67 
68  forest.push_back (tree);
69  }
70 }
71 
72 #endif
Class representing a decision forest.
Class representing a decision tree.
Definition: decision_tree.h:51
void train(DecisionForest< NodeType > &forest)
Trains a decision forest using the set training data and settings.
virtual ~DecisionForestTrainer()
Destructor.