Point Cloud Library (PCL)  1.8.1
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(boost::shared_ptr< pcl::DecisionTreeTrainerDataProvider< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > > &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 size_t max_tree_depth)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setMinExamplesForSplit(size_t n)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setNumberOfTreesToTrain(const size_t num_of_trees)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setNumOfFeatures(const size_t num_of_features)pcl::DecisionForestTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >inline
setNumOfThresholds(const 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