class TMVA::TActivationSigmoid: public TMVA::TActivation

  Sigmoid activation function for TNeuron. This really simple implementation
  uses TFormulas and should probably be replaced with something more
  efficient later.

Function Members (Methods)

public:

virtual	~TActivationSigmoid()
static TClass*	Class()
virtual Double_t	Eval(Double_t arg)
virtual Double_t	EvalDerivative(Double_t arg)
virtual TString	GetExpression()
virtual Double_t	GetMax()
virtual Double_t	GetMin()
virtual TClass*	IsA() const
virtual void	MakeFunction(ostream& fout, const TString& fncName)
TMVA::TActivationSigmoid&	operator=(const TMVA::TActivationSigmoid&)
virtual void	ShowMembers(TMemberInspector& insp, char* parent)
virtual void	Streamer(TBuffer& b)
void	StreamerNVirtual(TBuffer& b)
TMVA::TActivationSigmoid	TActivationSigmoid()
TMVA::TActivationSigmoid	TActivationSigmoid(const TMVA::TActivationSigmoid&)

Data Members

private:

TFormula*	fEqn	equation of sigmoid
TFormula*	fEqnDerivative	equation of sigmoid derivative

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

TActivationSigmoid()

 constructor for sigmoid normalized in [0,1]

~TActivationSigmoid()

 destructor

Double_t Eval(Double_t arg)

 evaluate the sigmoid

Double_t EvalDerivative(Double_t arg)

 evaluate the derivative of the sigmoid

TString GetExpression()

 get expressions for the sigmoid and its derivatives

void MakeFunction(ostream& fout, const TString& fncName)

 writes the sigmoid activation function source code

TActivationSigmoid()

Double_t GetMin()

 minimum of the range of the activation function

{ return 0; }

Double_t GetMax()

 maximum of the range of the activation function

{ return 1; }