Point Cloud Library (PCL)  1.14.0-dev
decision_forest_evaluator.h
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37 
38 #pragma once
39 
40 #include <pcl/common/common.h>
41 #include <pcl/ml/dt/decision_forest.h>
42 #include <pcl/ml/dt/decision_tree_evaluator.h>
43 #include <pcl/ml/feature_handler.h>
44 #include <pcl/ml/stats_estimator.h>
45 
46 #include <vector>
47 
48 namespace pcl {
49 
50 /** Utility class for evaluating a decision forests. */
51 template <class FeatureType,
52  class DataSet,
53  class LabelType,
54  class ExampleIndex,
55  class NodeType>
57 public:
58  /** Constructor. */
60 
61  /** Destructor. */
63 
64  /** Evaluates the specified examples using the supplied forest.
65  *
66  * \param[in] DecisionForestEvaluator the decision forest
67  * \param[in] feature_handler the feature handler used to train the tree
68  * \param[in] stats_estimator the statistics estimation instance used while training
69  * the tree
70  * \param[in] data_set the data set used for evaluation
71  * \param[in] examples the examples that have to be evaluated
72  * \param[out] label_data the destination for the resulting label data
73  */
74  void
75  evaluate(
79  DataSet& data_set,
80  std::vector<ExampleIndex>& examples,
81  std::vector<LabelType>& label_data);
82 
83  /** Evaluates a specific patch using the supplied forest.
84  *
85  * \param[in] DecisionForestEvaluator the decision forest
86  * \param[in] feature_handler the feature handler used to train the tree
87  * \param[in] stats_estimator the statistics estimation instance used while training
88  * the tree
89  * \param[in] data_set the data set used for evaluation
90  * \param[in] example the examples that have to be evaluated
91  * \param[out] leaves the leaves where the patch arrives
92  */
93  void
94  evaluate(
98  DataSet& data_set,
99  ExampleIndex example,
100  std::vector<NodeType>& leaves);
101 
102 private:
103  /** Evaluator for decision trees. */
105  tree_evaluator_;
106 };
107 
108 } // namespace pcl
109 
110 #include <pcl/ml/impl/dt/decision_forest_evaluator.hpp>
Utility class for evaluating a decision forests.
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.
Class representing a decision forest.
Utility class for evaluating a decision tree.
Utility class interface which is used for creating and evaluating features.
Define standard C methods and C++ classes that are common to all methods.