TTrainedNetwork Member List

This is the complete list of members for TTrainedNetwork, including all inherited members.

ActivationFunction enum name	TTrainedNetwork
calculateNormalized(const DVec &input) const	TTrainedNetwork
calculateNormalized(const DMap &input) const	TTrainedNetwork
calculateOutputValues(std::vector< Double_t > &input) const	TTrainedNetwork
calculateOutputValues(const DVec &input) const	TTrainedNetwork
check_norm_size(unsigned size) const	TTrainedNetwork	private
DMap typedef	TTrainedNetwork
DMapI typedef	TTrainedNetwork
DVec typedef	TTrainedNetwork
getActivationFunction() const	TTrainedNetwork	inline
getActivationFunction() const	TTrainedNetwork	inline
getIfLinearOutput() const	TTrainedNetwork	inline
getIfLinearOutput() const	TTrainedNetwork	inline
getIfNormalizeOutput() const	TTrainedNetwork	inline
getIfNormalizeOutput() const	TTrainedNetwork	inline
getInputs() const	TTrainedNetwork
getnHidden() const	TTrainedNetwork	inline
getnHidden() const	TTrainedNetwork	inline
getnHiddenLayerSize() const	TTrainedNetwork	inline
getnHiddenLayerSize() const	TTrainedNetwork	inline
getnInput() const	TTrainedNetwork	inline
getnInput() const	TTrainedNetwork	inline
getnOutput() const	TTrainedNetwork	inline
getnOutput() const	TTrainedNetwork	inline
getThresholdVectors() const	TTrainedNetwork	inline
getThresholdVectors() const	TTrainedNetwork	inline
is_consistent() const	TTrainedNetwork	private
linearOutput	TTrainedNetwork	static
m_ActivationFunction	TTrainedNetwork	private
m_bufferSizeMax	TTrainedNetwork	private
m_input_node_offset	TTrainedNetwork	private
m_input_node_scale	TTrainedNetwork	private
m_inputStringToNode	TTrainedNetwork	private
m_LinearOutput	TTrainedNetwork	private
m_maxExpValue	TTrainedNetwork	private
m_nHidden	TTrainedNetwork	private
m_nHidden	TTrainedNetwork	private
m_nHiddenLayerSize	TTrainedNetwork	private
m_nInput	TTrainedNetwork	private
m_nInput	TTrainedNetwork	private
m_NormalizeOutput	TTrainedNetwork	private
m_nOutput	TTrainedNetwork	private
m_nOutput	TTrainedNetwork	private
m_ThresholdVectors	TTrainedNetwork	private
m_WeightMatrices	TTrainedNetwork	private
normalizeOutput	TTrainedNetwork	static
setNewWeights(std::vector< TVectorD * > &thresholdVectors, std::vector< TMatrixD * > &weightMatrices)	TTrainedNetwork
setNewWeights(std::vector< TVectorD * > &thresholdVectors, std::vector< TMatrixD * > &weightMatrices)	TTrainedNetwork
setOffsets(const std::vector< double > &offsets)	TTrainedNetwork
setScales(const std::vector< double > &scales)	TTrainedNetwork
SIGMOID enum value	TTrainedNetwork
sigmoid(Double_t x) const	TTrainedNetwork	inlineprivate
sigmoid(Double_t x) const	TTrainedNetwork	private
TTrainedNetwork()	TTrainedNetwork
TTrainedNetwork(Int_t nInput, Int_t nHidden, Int_t nOutput, std::vector< Int_t > &nHiddenLayerSize, std::vector< TVectorD * > &thresholdVectors, std::vector< TMatrixD * > &weightMatrices, Int_t activationFunction, bool linearOutput=false, bool normalizeOutput=false)	TTrainedNetwork
TTrainedNetwork()	TTrainedNetwork
TTrainedNetwork(Int_t nInput, Int_t nHidden, Int_t nOutput, std::vector< Int_t > &nHiddenLayerSize, std::vector< TVectorD * > &thresholdVectors, std::vector< TMatrixD * > &weightMatrices, Int_t activationFunction, bool linearOutput=false, bool normalizeOutput=false)	TTrainedNetwork
TTrainedNetwork(const std::vector< TTrainedNetwork::Input > &inputs, unsigned nOutput, std::vector< TVectorD * > &thresholdVectors, std::vector< TMatrixD * > &weightMatrices, ActivationFunction activationFunction=SIGMOID, unsigned options=0)	TTrainedNetwork
weightMatrices() const	TTrainedNetwork	inline
weightMatrices() const	TTrainedNetwork	inline
~TTrainedNetwork()	TTrainedNetwork
~TTrainedNetwork()	TTrainedNetwork