Point Cloud Library (PCL)  1.9.1-dev
decision_forest_evaluator.h
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37 
38 #pragma once
39 
40 #include <pcl/common/common.h>
41 
42 #include <pcl/ml/dt/decision_forest.h>
43 #include <pcl/ml/dt/decision_tree_evaluator.h>
44 #include <pcl/ml/feature_handler.h>
45 #include <pcl/ml/stats_estimator.h>
46 
47 #include <vector>
48 
49 namespace pcl {
50 
51 /** Utility class for evaluating a decision forests. */
52 template <class FeatureType,
53  class DataSet,
54  class LabelType,
55  class ExampleIndex,
56  class NodeType>
58 public:
59  /** Constructor. */
61 
62  /** Destructor. */
63  virtual ~DecisionForestEvaluator();
64 
65  /** Evaluates the specified examples using the supplied forest.
66  *
67  * \param[in] DecisionForestEvaluator the decision forest
68  * \param[in] feature_handler the feature handler used to train the tree
69  * \param[in] stats_estimator the statistics estimation instance used while training
70  * the tree
71  * \param[in] data_set the data set used for evaluation
72  * \param[in] examples the examples that have to be evaluated
73  * \param[out] label_data the destination for the resulting label data
74  */
75  void
76  evaluate(
80  DataSet& data_set,
81  std::vector<ExampleIndex>& examples,
82  std::vector<LabelType>& label_data);
83 
84  /** Evaluates a specific patch using the supplied forest.
85  *
86  * \param[in] DecisionForestEvaluator the decision forest
87  * \param[in] feature_handler the feature handler used to train the tree
88  * \param[in] stats_estimator the statistics estimation instance used while training
89  * the tree
90  * \param[in] data_set the data set used for evaluation
91  * \param[in] example the examples that have to be evaluated
92  * \param[out] leaves the leaves where the patch arrives
93  */
94  void
95  evaluate(
96  pcl::DecisionForest<NodeType>& DecisionForestEvaluator,
99  DataSet& data_set,
100  ExampleIndex example,
101  std::vector<NodeType>& leaves);
102 
103 private:
104  /** Evaluator for decision trees. */
106  tree_evaluator_;
107 };
108 
109 } // namespace pcl
110 
111 #include <pcl/ml/impl/dt/decision_forest_evaluator.hpp>
Class representing a decision forest.
Utility class for evaluating a decision tree.
This file defines compatibility wrappers for low level I/O functions.
Definition: convolution.h:45
Define standard C methods and C++ classes that are common to all methods.
virtual ~DecisionForestEvaluator()
Destructor.
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 the specified examples using the supplied forest.
Utility class for evaluating a decision forests.
Utility class interface which is used for creating and evaluating features.