Point Cloud Library (PCL) 1.12.0
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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
48namespace pcl {
49
50/** Utility class for evaluating a decision forests. */
51template <class FeatureType,
52 class DataSet,
53 class LabelType,
54 class ExampleIndex,
55 class NodeType>
57public:
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
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
100 std::vector<NodeType>& leaves);
101
102private:
103 /** Evaluator for decision trees. */
105 tree_evaluator_;
106};
107
108} // namespace pcl
109
110#include <pcl/ml/impl/dt/decision_forest_evaluator.hpp>
Iterator class for point clouds with or without given indices.
Utility class for evaluating a decision forests.
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.
Define standard C methods and C++ classes that are common to all methods.