mlpack::ann::GaussianFunction Class Reference

The gaussian function, defined by. More...

#include <gaussian_function.hpp>

Static Public Member Functions
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...
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...

Detailed Description

The gaussian function, defined by.

\begin{eqnarray*} f(x) &=& e^{-1 * x^2} \\ f'(x) &=& 2 * -x * f(x) \end{eqnarray*}

Member Function Documentation

Deriv() [1/2]

static double mlpack::ann::GaussianFunction::Deriv ( const double  y )

inlinestatic

Computes the first derivative of the gaussian function.

Parameters

y	Input data.

Returns

f'(x)

Deriv() [2/2]

template<typename InputVecType , typename OutputVecType >

static void mlpack::ann::GaussianFunction::Deriv ( const InputVecType &  y, OutputVecType &  x  )

inlinestatic

Computes the first derivatives of the gaussian function.

Parameters

y	Input activations.
x	The resulting derivatives.

Fn() [1/2]

template<typename eT >

static double mlpack::ann::GaussianFunction::Fn ( const eT  x )

inlinestatic

Computes the gaussian function.

Parameters

x	Input data.

Returns

f(x).

Fn() [2/2]

template<typename InputVecType , typename OutputVecType >

static void mlpack::ann::GaussianFunction::Fn ( const InputVecType &  x, OutputVecType &  y  )

inlinestatic

Computes the gaussian function.

Parameters

x	Input data.
y	The resulting output activation.

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

• src/mlpack/methods/ann/activation_functions/gaussian_function.hpp