41#include <pcl/ml/dt/decision_tree.h>
42#include <pcl/ml/feature_handler.h>
43#include <pcl/ml/stats_estimator.h>
50template <
class FeatureType,
100 std::vector<ExampleIndex>&
examples,
138 std::vector<ExampleIndex>&
examples,
139 std::vector<NodeType*>& nodes);
144#include <pcl/ml/impl/dt/decision_tree_evaluator.hpp>
Iterator class for point clouds with or without given indices.
Utility class for evaluating a decision tree.
virtual ~DecisionTreeEvaluator()
Destructor.
void getNodes(pcl::DecisionTree< NodeType > &tree, pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &feature_handler, pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &stats_estimator, DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< NodeType * > &nodes)
Evaluates the specified examples using the supplied tree.
DecisionTreeEvaluator()
Constructor.
void evaluateAndAdd(pcl::DecisionTree< NodeType > &tree, 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 tree and adds the results to the supplied results...
void evaluate(pcl::DecisionTree< NodeType > &tree, 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 tree.
Define standard C methods and C++ classes that are common to all methods.