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] |