MethodDL.cxx File Reference

#include "TFormula.h"
#include "TString.h"
#include "TMath.h"
#include "TObjString.h"
#include "TMVA/Tools.h"
#include "TMVA/Configurable.h"
#include "TMVA/IMethod.h"
#include "TMVA/ClassifierFactory.h"
#include "TMVA/MethodDL.h"
#include "TMVA/Types.h"
#include "TMVA/DNN/TensorDataLoader.h"
#include "TMVA/DNN/Functions.h"
#include "TMVA/DNN/DLMinimizers.h"
#include "TMVA/DNN/SGD.h"
#include "TMVA/DNN/Adam.h"
#include "TMVA/DNN/Adagrad.h"
#include "TMVA/DNN/RMSProp.h"
#include "TMVA/DNN/Adadelta.h"
#include "TMVA/Timer.h"
#include <chrono>

Namespaces
namespace	TMVA
	create variable transformations

Enumerations
enum class	EActivationFunction
	Enum that represents layer activation functions. More...
enum class	EInitialization
enum class	ELossFunction
	Enum that represents objective functions for the net, i.e. More...
enum class	EOptimizer
	Enum representing the optimizer used for training. More...
enum class	EOutputFunction
	Enum that represents output functions. More...

Functions
TString	TMVA::fetchValueTmp (const std::map< TString, TString > &keyValueMap, TString key)
template<>
bool	TMVA::fetchValueTmp (const std::map< TString, TString > &keyValueMap, TString key, bool defaultValue)
template<>
double	TMVA::fetchValueTmp (const std::map< TString, TString > &keyValueMap, TString key, double defaultValue)
template<>
int	TMVA::fetchValueTmp (const std::map< TString, TString > &keyValueMap, TString key, int defaultValue)
template<>
std::vector< double >	TMVA::fetchValueTmp (const std::map< TString, TString > &keyValueMap, TString key, std::vector< double > defaultValue)
template<typename T>
T	TMVA::fetchValueTmp (const std::map< TString, TString > &keyValueMap, TString key, T defaultValue)
template<>
TString	TMVA::fetchValueTmp (const std::map< TString, TString > &keyValueMap, TString key, TString defaultValue)

Enumeration Type Documentation

EActivationFunction

enum class TMVA::DNN::EActivationFunction

strong

Enum that represents layer activation functions.

Definition at line 31 of file Functions.h.

EInitialization

enum class TMVA::DNN::EInitialization

strong

Definition at line 72 of file Functions.h.

ELossFunction

enum class TMVA::DNN::ELossFunction

strong

Enum that represents objective functions for the net, i.e.

functions that take the output from the last layer in the net together with the truths and return the objective function values that is to be minimized in the training process.

Definition at line 56 of file Functions.h.

EOptimizer

enum class TMVA::DNN::EOptimizer

strong

Enum representing the optimizer used for training.

Definition at line 82 of file Functions.h.

EOutputFunction

enum class TMVA::DNN::EOutputFunction

strong

Enum that represents output functions.

Definition at line 45 of file Functions.h.