decision_forest_trainer.hpp

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#pragma once
 
namespace pcl {
 
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
    DecisionForestTrainer()
: decision_tree_trainer_()
{}
 
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
    ~DecisionForestTrainer() = default;
 
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
void
DecisionForestTrainer<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::train(
    pcl::DecisionForest<NodeType>& forest)
{
  for (std::size_t tree_index = 0; tree_index < num_of_trees_to_train_; ++tree_index) {
    pcl::DecisionTree<NodeType> tree;
    decision_tree_trainer_.train(tree);
 
    forest.push_back(tree);
  }
}
 
} // namespace pcl