, including all inherited members.
| backwardSelection(int k=4, bool optPar=0) | BALL::QSAR::FeatureSelection | |
| FeatureSelection(Model &m) | BALL::QSAR::FeatureSelection | |
| FeatureSelection(KernelModel &m) | BALL::QSAR::FeatureSelection | |
| findIrrelevantDescriptors() | BALL::QSAR::FeatureSelection | [private] |
| forward(bool stepwise, int k, bool optPar) | BALL::QSAR::FeatureSelection | [private] |
| forwardSelection(int k=4, bool optPar=0) | BALL::QSAR::FeatureSelection | |
| implicitSelection(LinearModel &lm, int act=1, double d=1) | BALL::QSAR::FeatureSelection | |
| model_ | BALL::QSAR::FeatureSelection | [private] |
| quality_increase_cutoff_ | BALL::QSAR::FeatureSelection | [private] |
| removeEmptyDescriptors() | BALL::QSAR::FeatureSelection | |
| removeHighlyCorrelatedFeatures(double &cor_threshold) | BALL::QSAR::FeatureSelection | |
| removeLowResponseCorrelation(double &min_correlation) | BALL::QSAR::FeatureSelection | |
| selectStat(int s) | BALL::QSAR::FeatureSelection | |
| setModel(Model &m) | BALL::QSAR::FeatureSelection | |
| setModel(KernelModel &km) | BALL::QSAR::FeatureSelection | |
| setQualityIncreaseCutoff(double &d) | BALL::QSAR::FeatureSelection | |
| stepwiseSelection(int k=4, bool optPar=0) | BALL::QSAR::FeatureSelection | |
| twinScan(int k, bool optPar=0) | BALL::QSAR::FeatureSelection | |
| updateWeights(std::multiset< unsigned int > &oldDescIDs, std::multiset< unsigned int > &newDescIDs, Vector< double > &oldWeights) | BALL::QSAR::FeatureSelection | [private] |
| weights_ | BALL::QSAR::FeatureSelection | [private] |
| ~FeatureSelection() | BALL::QSAR::FeatureSelection | |
1.6.3
