| bins | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | private | 
  | Bins() const | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | inline | 
  | EvaluateFitnessFunction(double &bestFitness, double &secondBestFitness) const | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | HoeffdingNumericSplit(const size_t numClasses, const size_t bins=10, const size_t observationsBeforeBinning=100) | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | HoeffdingNumericSplit(const size_t numClasses, const HoeffdingNumericSplit &other) | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | labels | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | private | 
  | MajorityClass() const | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | MajorityProbability() const | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | NumChildren() const | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | inline | 
  | observations | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | private | 
  | observationsBeforeBinning | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | private | 
  | samplesSeen | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | private | 
  | Serialize(Archive &ar, const unsigned int) | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | Split(arma::Col< size_t > &childMajorities, SplitInfo &splitInfo) const | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | SplitInfo typedef | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  | 
  | splitPoints | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | private | 
  | sufficientStatistics | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > | private | 
  | Train(ObservationType value, const size_t label) | mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType > |  |