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