Point Cloud Library (PCL)  1.12.1-dev
pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > Member List

This is the complete list of members for pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >, including all inherited members.

DecisionForestTrainer()pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >
setDecisionTreeDataProvider(typename pcl::DecisionTreeTrainerDataProvider< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::Ptr &dtdp)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setExamples(std::vector< ExampleIndex > &examples)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setFeatureHandler(pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &feature_handler)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setLabelData(std::vector< LabelType > &label_data)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setMaxTreeDepth(const std::size_t max_tree_depth)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setMinExamplesForSplit(std::size_t n)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setNumberOfTreesToTrain(const std::size_t num_of_trees)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setNumOfFeatures(const std::size_t num_of_features)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setNumOfThresholds(const std::size_t num_of_threshold)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setRandomFeaturesAtSplitNode(bool b)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setStatsEstimator(pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &stats_estimator)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setThresholds(std::vector< float > &thres)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setTrainingDataSet(DataSet &data_set)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
train(DecisionForest< NodeType > &forest)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >
~DecisionForestTrainer()pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >virtual