| _abstention | StumpLearner | [protected] |
| _alpha | BaseLearner | [protected] |
| _bestErrors | StumpLearner | [protected] |
| _halfWeightsPerClass | StumpLearner | [protected] |
| _leftErrors | StumpLearner | [protected] |
| _rightErrors | StumpLearner | [protected] |
| _selectedColumn | StumpLearner | [protected] |
| _smallVal | BaseLearner | [protected] |
| _smoothingVal | BaseLearner | [protected] |
| _theta | StumpLearner | [protected] |
| _threshold | SingleStumpLearner | [private] |
| _v | StumpLearner | [protected] |
| _weightsPerClass | StumpLearner | [protected] |
| ABST_FULL enum value | StumpLearner | [protected] |
| ABST_GREEDY enum value | StumpLearner | [protected] |
| ABST_NO_ABSTENTION enum value | StumpLearner | [protected] |
| BaseLearner() | BaseLearner | [inline] |
| classify(InputData *pData, const int idx, const int classIdx) | StumpLearner | [virtual] |
| create() | SingleStumpLearner | [inline, virtual] |
| createInputData() | StumpLearner | [virtual] |
| declareArguments(nor_utils::Args &args) | StumpLearner | [virtual] |
| doFullAbstention(const vector< sRates > &mu, double currEnergy, sRates &eps, double &alpha, vector< char > &v) | StumpLearner | [protected, virtual] |
| doGreedyAbstention(vector< sRates > &mu, double currEnergy, sRates &eps, double &alpha, vector< char > &v) | StumpLearner | [protected, virtual] |
| eAbstType enum name | StumpLearner | [protected] |
| findThreshold(InputData *pData, const int columnIdx, double &threshold, vector< sRates > &mu, vector< char > &v) | SingleStumpLearner | [private, virtual] |
| getAlpha() const | BaseLearner | [inline] |
| getAlpha(const double error) | BaseLearner | [protected, virtual] |
| getAlpha(const double eps_min, const double eps_pls) | BaseLearner | [protected, virtual] |
| getAlpha(const double eps_min, const double eps_pls, double theta) | BaseLearner | [protected, virtual] |
| getEnergy(vector< sRates > &mu, double &alpha, vector< char > &v) | StumpLearner | [protected, virtual] |
| initOptions(nor_utils::Args &args) | StumpLearner | [virtual] |
| load(nor_utils::StreamTokenizer &st) | SingleStumpLearner | [virtual] |
| phi(double val, int classIdx) | SingleStumpLearner | [private, virtual] |
| RegisteredLearners() | BaseLearner | [inline, static] |
| run(InputData *pData) | SingleStumpLearner | [virtual] |
| save(ofstream &outputStream, const int numTabs=0) | SingleStumpLearner | [virtual] |
| setSmoothingVal(const double smoothingVal) | BaseLearner | [inline, protected, virtual] |
| StumpLearner() | StumpLearner | [inline] |
