| backpropagate(ANNetwork &network, const PatternSet &set, int p) const | BackpropTrainer | [protected, virtual] |
| cyclesTrained() const | Trainer | [inline] |
| generalizLoss() const | Trainer | [inline] |
| init(const StringMap ¶ms) | BackpropTrainer | [virtual] |
| initTrain(ANNetwork &network) const | BackpropTrainer | [protected, virtual] |
| mBatchLearning | BackpropTrainer | [protected] |
| mDecay | BackpropTrainer | [protected] |
| mError | BackpropTrainer | [protected] |
| mEta | BackpropTrainer | [protected] |
| mGeneralizationLoss | Trainer | [protected] |
| mMomentum | BackpropTrainer | [protected] |
| mTerminatorName | Trainer | [protected] |
| mTotalTrained | Trainer | [protected] |
| mTrained | Trainer | [protected] |
| mTrainingProfile | Trainer | [protected] |
| mValidationProfile | Trainer | [protected] |
| mWeightDeltas | BackpropTrainer | [protected] |
| parameters() const (defined in BackpropTrainer) | BackpropTrainer | [virtual] |
| pTrainingObserver | Trainer | [protected] |
| setGeneralizLoss(double gl) | Trainer | [inline] |
| setObserver(TrainingObserver *observer) | Trainer | [inline] |
| setTerminator(const String &name) | Trainer | [inline] |
| Terminator (defined in Trainer) | Trainer | [friend] |
| totalCycles() const | Trainer | [inline] |
| train(ANNetwork &network, const PatternSet &trainset, int cycles, const PatternSet *pValidationSet=NULL, int validationInterval=0) | Trainer | [virtual] |
| Trainer() | Trainer | |
| trainingRecord() const | Trainer | [inline] |
| trainOnce(ANNetwork &network, const PatternSet &set) const | BackpropTrainer | [protected, virtual] |
| trainPattern(ANNetwork &network, const PatternSet &set, int p) const | BackpropTrainer | [protected, virtual] |
| updateWeights(ANNetwork &network) const | BackpropTrainer | [protected, virtual] |
| validationRecord() const | Trainer | [inline] |