NumA::TrainingFunction Class Reference

Inheritance diagram for NumA::TrainingFunction:

Public Member Functions
	TrainingFunction ()
	TrainingFunction (const std::string &name)
virtual	~TrainingFunction ()
virtual TrainingFunction *	clone () const
virtual double	evaluate (const Data &output, const Data &outputReference) const
virtual double	partialDerivative (double output, double outputReference) const

Protected Member Functions
	TrainingFunction (const TrainingFunction &other)

Constructor & Destructor Documentation

TrainingFunction() [1/3]

NumA::TrainingFunction::TrainingFunction

(

)

TrainingFunction() [2/3]

NumA::TrainingFunction::TrainingFunction

(

const std::string &

name

)

~TrainingFunction()

NumA::TrainingFunction::~TrainingFunction ( )

virtual

TrainingFunction() [3/3]

NumA::TrainingFunction::TrainingFunction ( const TrainingFunction &  other )

protected

Member Function Documentation

clone()

TrainingFunction * NumA::TrainingFunction::clone ( ) const

virtual

Reimplemented in NumA::TrainingFunctionChi2.

evaluate()

double NumA::TrainingFunction::evaluate ( const Data &  output, const Data &  outputReference  ) const

virtual

Reimplemented in NumA::TrainingFunctionChi2.

partialDerivative()

double NumA::TrainingFunction::partialDerivative ( double  output, double  outputReference  ) const

virtual

Reimplemented in NumA::TrainingFunctionChi2.

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The documentation for this class was generated from the following files:

• include/NumA/neural_network/training_function/TrainingFunction.h
• src/NumA/neural_network/training_function/TrainingFunction.cpp