, including all inherited members.
| allExp | Stump | [private] |
| ALLOW_ONLY_SPLITS | Stump | |
| buildStump() | Stump | |
| calcGainRatio(int dim, float val, int type, float I) | Stump | |
| calcIforSet(const std::vector< stump_experience * > &instances) | Stump | |
| calcIofP(float *P, int size) | Stump | |
| compareSplits(float gainRatio, int dim, float val, int type, int *nties, float *bestGainRatio, int *bestDim, float *bestVal, int *bestType) | Stump | |
| CUT enum value | Stump | |
| dim | Stump | [private] |
| experiences | Stump | [private] |
| featPct | Stump | [private] |
| findMatching(const std::vector< stump_experience * > &instances, int dim, int val, int minConf) | Stump | |
| freq | Stump | [private] |
| gainRatio | Stump | [private] |
| getConf(const std::vector< float > &input) | Stump | [virtual] |
| getCopy() | Stump | [virtual] |
| id | Stump | [private] |
| implementSplit(float bestGainRatio, int bestDim, float bestVal, int bestType) | Stump | |
| initStump() | Stump | |
| leftOutputs | Stump | [private] |
| LOSS_MARGIN | Stump | |
| M | Stump | [private] |
| MIN_GAIN_RATIO | Stump | |
| mode | Stump | [private] |
| nExperiences | Stump | |
| nnodes | Stump | [private] |
| nOutput | Stump | [private] |
| ONLY enum value | Stump | |
| outputProbabilities(std::multiset< float > outputs, std::map< float, float > *retval) | Stump | |
| passTest(int dim, float val, int type, const std::vector< float > &input) | Stump | |
| printStump() | Stump | |
| REBUILD_RATIO | Stump | |
| rightOutputs | Stump | [private] |
| rng | Stump | [private] |
| setParams(float margin, float forestPct, float minRatio) | Stump | |
| sortOnDim(int dim) | Stump | |
| SPLIT_MARGIN | Stump | |
| SPLITDEBUG | Stump | |
| splitTypes enum name | Stump | |
| STDEBUG | Stump | |
| Stump(int id, int trainMode, int trainFreq, int m, float featPct, Random rng) | Stump | |
| Stump(const Stump &) | Stump | |
| testInstance(const std::vector< float > &input, std::map< float, float > *retval) | Stump | [virtual] |
| testPossibleSplits(float *bestGainRatio, int *bestDim, float *bestVal, int *bestType) | Stump | |
| trainInstance(classPair &instance) | Stump | [virtual] |
| trainInstances(std::vector< classPair > &instances) | Stump | [virtual] |
| type | Stump | [private] |
| val | Stump | [private] |
| ~Classifier() | Classifier | [virtual] |
| ~Stump() | Stump | |