HardSigmoidFunction Class Reference

The hard sigmoid function, defined by. More...

Static Public Member Functions
static double	Deriv (const double y)
	Computes the first derivatives of hard sigmoid function. More...
template
static void	Deriv (const InputVecType &y, OutputVecType &x)
	Computes the first derivatives of the hard sigmoid function. More...
static double	Fn (const double x)
	Computes the hard sigmoid function. More...
template
static void	Fn (const InputVecType &x, OutputVecType &y)
	Computes the hard sigmoid function. More...

Detailed Description

The hard sigmoid function, defined by.

Definition at line 34 of file hard_sigmoid_function.hpp.

Member Function Documentation

Deriv() [1/2]

static double Deriv ( const double  y )

inlinestatic

Computes the first derivatives of hard sigmoid function.

Parameters

y	Input data.

Returns

f'(x)

Definition at line 69 of file hard_sigmoid_function.hpp.

Referenced by HardSigmoidFunction::Deriv().

Deriv() [2/2]

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

inlinestatic

Computes the first derivatives of the hard sigmoid function.

Parameters

y	Input data.
x	The resulting derivatives.

Definition at line 85 of file hard_sigmoid_function.hpp.

References HardSigmoidFunction::Deriv().

Fn() [1/2]

static double Fn ( const double  x )

inlinestatic

Computes the hard sigmoid function.

Parameters

x	Input data.

Returns

f(x).

Definition at line 43 of file hard_sigmoid_function.hpp.

Referenced by HardSigmoidFunction::Fn().

Fn() [2/2]

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

inlinestatic

Computes the hard sigmoid function.

Parameters

x	Input data.
y	The resulting output activations.

Definition at line 55 of file hard_sigmoid_function.hpp.

References HardSigmoidFunction::Fn().

---

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/hard_sigmoid_function.hpp