decision_forest_evaluator.hpp

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#pragma once
 
#include <pcl/common/common.h>
#include <pcl/ml/dt/decision_forest.h>
#include <pcl/ml/dt/decision_forest_evaluator.h>
#include <pcl/ml/feature_handler.h>
#include <pcl/ml/stats_estimator.h>
 
#include <vector>
 
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
    DecisionForestEvaluator()
: tree_evaluator_()
{}
 
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
    ~DecisionForestEvaluator() = default;
 
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
void
pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
    evaluate(pcl::DecisionForest<NodeType>& forest,
             pcl::FeatureHandler<FeatureType, DataSet, ExampleIndex>& feature_handler,
             pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>&
                 stats_estimator,
             DataSet& data_set,
             std::vector<ExampleIndex>& examples,
             std::vector<LabelType>& label_data)
{
  const std::size_t num_of_examples = examples.size();
  label_data.resize(num_of_examples, 0);
 
  for (std::size_t forest_index = 0; forest_index < forest.size(); ++forest_index) {
    tree_evaluator_.evaluateAndAdd(forest[forest_index],
                                   feature_handler,
                                   stats_estimator,
                                   data_set,
                                   examples,
                                   label_data);
  }
 
  const float inv_num_of_trees = 1.0f / static_cast<float>(forest.size());
  for (std::size_t label_index = 0; label_index < label_data.size(); ++label_index) {
    label_data[label_index] *= inv_num_of_trees;
  }
}
 
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
void
pcl::DecisionForestEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>::
    evaluate(pcl::DecisionForest<NodeType>& forest,
             pcl::FeatureHandler<FeatureType, DataSet, ExampleIndex>& feature_handler,
             pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>&
                 stats_estimator,
             DataSet& data_set,
             ExampleIndex example,
             std::vector<NodeType>& leaves)
{
  leaves.resize(forest.size());
  for (std::size_t forest_index = 0; forest_index < forest.size(); ++forest_index) {
    NodeType leave;
    tree_evaluator_.evaluate(forest[forest_index],
                             feature_handler,
                             stats_estimator,
                             data_set,
                             example,
                             leave);
    leaves[forest_index] = leave;
  }
}