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
static void	Deriv (const InputVecType &y, OutputVecType &x)
	Computes the first derivatives of the gaussian function. More...
template
static double	Fn (const eT x)
	Computes the gaussian function. More...
template
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/jenkins-mlpack/mlpack.org/_src/mlpack-3.4.2/src/mlpack/methods/ann/activation_functions/gaussian_function.hpp