| createThresholdsUniform(const std::size_t num_of_thresholds, std::vector< float > &values, std::vector< float > &thresholds) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | protectedstatic |
| FernTrainer() | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | |
| setExamples(std::vector< ExampleIndex > &examples) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| setFeatureHandler(pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex > &feature_handler) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| setFernDepth(const std::size_t fern_depth) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| setLabelData(std::vector< LabelType > &label_data) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| setNumOfFeatures(const std::size_t num_of_features) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| setNumOfThresholds(const std::size_t num_of_threshold) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| setStatsEstimator(pcl::StatsEstimator< LabelType, NodeType, DataSet, ExampleIndex > &stats_estimator) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| setTrainingDataSet(DataSet &data_set) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | inline |
| train(Fern< FeatureType, NodeType > &fern) | pcl::FernTrainer< FeatureType, DataSet, LabelType, ExampleIndex, NodeType > | |