PndLVQTrain Member List

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

cleanProtoList()	PndLVQTrain	private
EvalClassifierError()	PndLVQTrain	virtual
EvalClassifierError(unsigned int stp)	PndLVQTrain	private
GetClasses() const	PndMvaTrainer	inline
GetErrorValues() const	PndMvaTrainer	inline
GetPerEpochEval() const	PndLVQTrain	inline
GetRndSeed() const	PndMvaTrainer	inline
GetTestEvetIdx() const	PndMvaTrainer	inline
GetVariables() const	PndMvaTrainer	inline
Initialize()	PndMvaTrainer	virtual
InitProtoK_Means()	PndLVQTrain	private
InitProtoRand()	PndLVQTrain	private
InitProtoTypes()	PndLVQTrain	private
InitRandProtoFromData()	PndLVQTrain	private
m_dataSets	PndMvaTrainer	protected
m_distances	PndLVQTrain	private
m_ErrorStep	PndLVQTrain	private
m_ethaFinal	PndLVQTrain	private
m_ethaZero	PndLVQTrain	private
m_initConst	PndLVQTrain	private
m_initProtoFile	PndLVQTrain	private
m_LVQProtos	PndLVQTrain	private
m_numProtoPerClass	PndLVQTrain	private
m_NumSweep	PndLVQTrain	private
m_outFile	PndMvaTrainer	protected
m_PerEpoch	PndLVQTrain	private
m_ProgStep	PndLVQTrain	private
m_proto_init	PndLVQTrain	private
m_RND_seed	PndMvaTrainer	protected
m_StepErro	PndMvaTrainer	protected
m_testSet_indices	PndMvaTrainer	protected
m_WindowSize	PndLVQTrain	private
NormalizeData(NormType t=NONORM)	PndMvaTrainer
operator=(PndLVQTrain const &other)	PndLVQTrain	private
PCATransForm()	PndMvaTrainer
PndLVQTrain(std::vector< std::pair< std::string, std::vector< float > * > > const &InputEvtsParam, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=false)	PndLVQTrain	explicit
PndLVQTrain(std::string const &InPut, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=true)	PndLVQTrain	explicit
PndLVQTrain(PndLVQTrain const &other)	PndLVQTrain	private
PndMvaTrainer(std::vector< std::pair< std::string, std::vector< float > * > > const &InputEvtsParam, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=true)	PndMvaTrainer	explicit
PndMvaTrainer(std::string const &InPut, std::vector< std::string > const &ClassNames, std::vector< std::string > const &VarNames, bool trim=true)	PndMvaTrainer	explicit
ReadProtoFromFile()	PndLVQTrain	private
SetAppType(AppType t)	PndMvaTrainer	inlineprotected
SetErrorStepSize(unsigned int const val=1000)	PndLVQTrain	inline
SetInitProtoFileName(std::string const &fileName)	PndLVQTrain	inline
SetLearnPrameters(double const initConst, double const etZ, double const etF, unsigned int const Nswp)	PndLVQTrain	inline
SetLVQ2_1WindowSize(float const Wsize=0.3)	PndLVQTrain	inline
SetNumberOfProto(size_t const numProto)	PndLVQTrain
SetNumberOfProto(std::map< std::string, size_t > const &labelMap)	PndLVQTrain
SetOutPutFile(std::string const &outFile)	PndMvaTrainer	inline
SetPerEpochEval(bool val)	PndLVQTrain	inline
setProtoInitType(ProtoInitType iniTypeVal=RAND_FROM_DATA)	PndLVQTrain	inline
SetRndSeed(size_t const sd)	PndMvaTrainer	inline
SetTestSet(std::set< size_t > const &testSet)	PndMvaTrainer
SetTestSetSize(size_t percent=50)	PndMvaTrainer
splitTetsSet()	PndMvaTrainer	protected
storeWeights()	PndLVQTrain	virtual
Train()	PndLVQTrain	virtual
Train21()	PndLVQTrain
UpdateProto(std::vector< float > const &EvtData, std::vector< float > &proto, int const delta, double const ethaT)	PndLVQTrain	private
ValidateProtoUpdate(std::vector< float > &p)	PndLVQTrain	private
WriteErroVect(std::string const &FileName) const	PndMvaTrainer
WriteToWeightFile(std::vector< std::pair< std::string, std::vector< float > * > > const &weights) const	PndMvaTrainer	protected
~PndLVQTrain()	PndLVQTrain	virtual
~PndMvaTrainer()	PndMvaTrainer	virtual