Searched refs:SmoTrainer (Results 1 – 2 of 2) sorted by relevance
61 const string SmoTrainer::MapKey_C = "smoc";//"SmoTrainer_C";63 const ParameterRange SmoTrainer::defaultCRange = ParameterRange(RANGE(defaultS…461 SVM* SmoTrainer::train(KernelFunctionCache& K, const LabeledObservationVector& twoClassLabeledObser… in train()650 void SmoTrainer::assignNumericLabels(vector<double>& y, const LabeledObservationVector& labeledObse… in assignNumericLabels()684 linearParameterRangeMap[SmoTrainer::MapKey_C] = SmoTrainer::defaultCRange; in getDefaultKernelParameterRangeMap()688 rbfParameterRangeMap[SmoTrainer::MapKey_C] = SmoTrainer::defaultCRange; in getDefaultKernelParameterRangeMap()692 polynomialParameterRangeMap[SmoTrainer::MapKey_C] = SmoTrainer::defaultCRange; in getDefaultKernelParameterRangeMap()698 sigmoidParameterRangeMap[SmoTrainer::MapKey_C] = SmoTrainer::defaultCRange; in getDefaultKernelParameterRangeMap()799 SmoTrainer smoTrainer(outputFilter); in train()924 double OneVsOneMultiClassSvmTrainer::trainOnKFolds(SmoTrainer& smoTrainer, KernelFunctionCache& ker… in trainOnKFolds()[all …]
864 class SmoTrainer { class866 SmoTrainer(OutputFilter of) : outputFilter(of), C(1.0) {} in SmoTrainer() function in SmoTrainer868 ~SmoTrainer() {} in ~SmoTrainer()997 double trainOnKFolds(SmoTrainer&, KernelFunctionCache&, KFoldLabeledObservationsDivider&);