decision_forest_evaluator.h

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#pragma once
 
#include <pcl/common/common.h>
#include <pcl/ml/dt/decision_forest.h>
#include <pcl/ml/dt/decision_tree_evaluator.h>
#include <pcl/ml/feature_handler.h>
#include <pcl/ml/stats_estimator.h>
 
#include <vector>
 
namespace pcl {
 
/** Utility class for evaluating a decision forests. */
template <class FeatureType,
          class DataSet,
          class LabelType,
          class ExampleIndex,
          class NodeType>
class DecisionForestEvaluator {
public:
  /** Constructor. */
  DecisionForestEvaluator();
 
  /** Destructor. */
  virtual ~DecisionForestEvaluator();
 
  /** Evaluates the specified examples using the supplied forest.
   *
   * \param[in] DecisionForestEvaluator the decision forest
   * \param[in] feature_handler the feature handler used to train the tree
   * \param[in] stats_estimator the statistics estimation instance used while training
   *            the tree
   * \param[in] data_set the data set used for evaluation
   * \param[in] examples the examples that have to be evaluated
   * \param[out] label_data the destination for the resulting label data
   */
  void
  evaluate(
      pcl::DecisionForest<NodeType>& DecisionForestEvaluator,
      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);
 
  /** Evaluates a specific patch using the supplied forest.
   *
   * \param[in] DecisionForestEvaluator the decision forest
   * \param[in] feature_handler the feature handler used to train the tree
   * \param[in] stats_estimator the statistics estimation instance used while training
   *            the tree
   * \param[in] data_set the data set used for evaluation
   * \param[in] example the examples that have to be evaluated
   * \param[out] leaves the leaves where the patch arrives
   */
  void
  evaluate(
      pcl::DecisionForest<NodeType>& DecisionForestEvaluator,
      pcl::FeatureHandler<FeatureType, DataSet, ExampleIndex>& feature_handler,
      pcl::StatsEstimator<LabelType, NodeType, DataSet, ExampleIndex>& stats_estimator,
      DataSet& data_set,
      ExampleIndex example,
      std::vector<NodeType>& leaves);
 
private:
  /** Evaluator for decision trees. */
  DecisionTreeEvaluator<FeatureType, DataSet, LabelType, ExampleIndex, NodeType>
      tree_evaluator_;
};
 
} // namespace pcl
 
#include <pcl/ml/impl/dt/decision_forest_evaluator.hpp>