SingleStumpLearner Member List

This is the complete list of members for SingleStumpLearner, including all inherited members.

_abstentionStumpLearner [protected]
_alphaBaseLearner [protected]
_bestErrorsStumpLearner [protected]
_halfWeightsPerClassStumpLearner [protected]
_leftErrorsStumpLearner [protected]
_rightErrorsStumpLearner [protected]
_selectedColumnStumpLearner [protected]
_smallValBaseLearner [protected]
_smoothingValBaseLearner [protected]
_thetaStumpLearner [protected]
_thresholdSingleStumpLearner [private]
_vStumpLearner [protected]
_weightsPerClassStumpLearner [protected]
ABST_FULL enum valueStumpLearner [protected]
ABST_GREEDY enum valueStumpLearner [protected]
ABST_NO_ABSTENTION enum valueStumpLearner [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 nameStumpLearner [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]


Generated on Mon Nov 28 21:43:48 2005 for MultiBoost by  doxygen 1.4.5