Point Cloud Library (PCL) 1.12.0
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decision_forest_evaluator.hpp
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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_forest_evaluator.h>
43#include <pcl/ml/feature_handler.h>
44#include <pcl/ml/stats_estimator.h>
45
46#include <vector>
47
48template <class FeatureType,
49 class DataSet,
50 class LabelType,
51 class ExampleIndex,
52 class NodeType>
57
58template <class FeatureType,
59 class DataSet,
60 class LabelType,
61 class ExampleIndex,
62 class NodeType>
66
67template <class FeatureType,
68 class DataSet,
69 class LabelType,
70 class ExampleIndex,
71 class NodeType>
72void
99
100template <class FeatureType,
101 class DataSet,
102 class LabelType,
103 class ExampleIndex,
104 class NodeType>
105void
Iterator class for point clouds with or without given indices.
std::size_t size() const
Size of the range the iterator is going through.
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.