GaussianFunction Class Reference

The gaussian function, defined by. More...

Static Public Member Functions
static double	Deriv (const double y)
	Computes the first derivative of the gaussian function. More...
template < typename InputVecType , typename OutputVecType >
static void	Deriv (const InputVecType &y, OutputVecType &x)
	Computes the first derivatives of the gaussian function. More...
template < typename eT >
static double	Fn (const eT x)
	Computes the gaussian function. More...
template < typename InputVecType , typename OutputVecType >
static void	Fn (const InputVecType &x, OutputVecType &y)
	Computes the gaussian function. More...

Detailed Description

The gaussian function, defined by.

Definition at line 28 of file gaussian_function.hpp.

Member Function Documentation

Deriv() [1/2]

static double Deriv ( const double  y )

inlinestatic

Computes the first derivative of the gaussian function.

Parameters

y	Input data.

Returns

f'(x)

Definition at line 61 of file gaussian_function.hpp.

Deriv() [2/2]

static void Deriv ( const InputVecType &  y, OutputVecType &  x  )

inlinestatic

Computes the first derivatives of the gaussian function.

Parameters

y	Input activations.
x	The resulting derivatives.

Definition at line 73 of file gaussian_function.hpp.

Fn() [1/2]

static double Fn ( const eT  x )

inlinestatic

Computes the gaussian function.

Parameters

x	Input data.

Returns

f(x).

Definition at line 38 of file gaussian_function.hpp.

Fn() [2/2]

static void Fn ( const InputVecType &  x, OutputVecType &  y  )

inlinestatic

Computes the gaussian function.

Parameters

x	Input data.
y	The resulting output activation.

Definition at line 50 of file gaussian_function.hpp.

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

• /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/ann/activation_functions/gaussian_function.hpp