TMVA::DNN::Settings Member List

This is the complete list of members for TMVA::DNN::Settings, including all inherited members.

addPoint(std::string histoName, double x)	TMVA::DNN::Settings	inline
addPoint(std::string histoName, double x, double y)	TMVA::DNN::Settings	inline
batchSize() const	TMVA::DNN::Settings	inline
clear(std::string histoName)	TMVA::DNN::Settings	inline
computeResult(const Net &, std::vector< double > &)	TMVA::DNN::Settings	inlinevirtual
convergenceCount() const	TMVA::DNN::Settings	inline
convergenceSteps() const	TMVA::DNN::Settings	inline
count_dE	TMVA::DNN::Settings
count_E	TMVA::DNN::Settings
count_mb_dE	TMVA::DNN::Settings
count_mb_E	TMVA::DNN::Settings
create(std::string histoName, int bins, double min, double max)	TMVA::DNN::Settings	inline
create(std::string histoName, int bins, double min, double max, int bins2, double min2, double max2)	TMVA::DNN::Settings	inline
cycle(double progress, TString text)	TMVA::DNN::Settings	inlinevirtual
drawSample(const std::vector< double > &, const std::vector< double > &, const std::vector< double > &, double)	TMVA::DNN::Settings	inlinevirtual
dropFractions() const	TMVA::DNN::Settings	inline
dropRepetitions() const	TMVA::DNN::Settings	inline
endTestCycle()	TMVA::DNN::Settings	inlinevirtual
endTrainCycle(double)	TMVA::DNN::Settings	inlinevirtual
exists(std::string histoName)	TMVA::DNN::Settings	inline
factorWeightDecay() const	TMVA::DNN::Settings	inline
fLearningRate	TMVA::DNN::Settings
fMinimizerType	TMVA::DNN::Settings
fMomentum	TMVA::DNN::Settings
fMonitoring	TMVA::DNN::Settings	protected
fRepetitions	TMVA::DNN::Settings
hasConverged(double testError)	TMVA::DNN::Settings	virtual
learningRate() const	TMVA::DNN::Settings	inline
m_batchSize	TMVA::DNN::Settings
m_convergenceCount	TMVA::DNN::Settings
m_convergenceSteps	TMVA::DNN::Settings
m_dropOut	TMVA::DNN::Settings
m_dropRepetitions	TMVA::DNN::Settings
m_factorWeightDecay	TMVA::DNN::Settings
m_maxConvergenceCount	TMVA::DNN::Settings
m_maxProgress	TMVA::DNN::Settings
m_minError	TMVA::DNN::Settings
m_minProgress	TMVA::DNN::Settings
m_regularization	TMVA::DNN::Settings
m_testRepetitions	TMVA::DNN::Settings
m_timer	TMVA::DNN::Settings
m_useMultithreading	TMVA::DNN::Settings	protected
maxConvergenceCount() const	TMVA::DNN::Settings	inline
minError() const	TMVA::DNN::Settings	inline
minimizerType() const	TMVA::DNN::Settings	inline
momentum() const	TMVA::DNN::Settings	inline
pads(int numPads)	TMVA::DNN::Settings	inline
plot(std::string histoName, std::string options, int pad, EColor color)	TMVA::DNN::Settings	inline
regularization() const	TMVA::DNN::Settings	inline
repetitions() const	TMVA::DNN::Settings	inline
setDropOut(Iterator begin, Iterator end, size_t _dropRepetitions)	TMVA::DNN::Settings	inline
setMonitoring(std::shared_ptr< Monitoring > ptrMonitoring)	TMVA::DNN::Settings	inline
setProgressLimits(double minProgress=0, double maxProgress=100)	TMVA::DNN::Settings	inlinevirtual
Settings(TString name, size_t _convergenceSteps=15, size_t _batchSize=10, size_t _testRepetitions=7, double _factorWeightDecay=1e-5, TMVA::DNN::EnumRegularization _regularization=TMVA::DNN::EnumRegularization::NONE, MinimizerType _eMinimizerType=MinimizerType::fSteepest, double _learningRate=1e-5, double _momentum=0.3, int _repetitions=3, bool _multithreading=true)	TMVA::DNN::Settings
startTestCycle()	TMVA::DNN::Settings	inlinevirtual
startTrainCycle()	TMVA::DNN::Settings	inlinevirtual
startTraining()	TMVA::DNN::Settings	inlinevirtual
testIteration()	TMVA::DNN::Settings	inlinevirtual
testRepetitions() const	TMVA::DNN::Settings	inline
testSample(double, double, double, double)	TMVA::DNN::Settings	inlinevirtual
useMultithreading() const	TMVA::DNN::Settings	inline
~Settings()	TMVA::DNN::Settings	virtual