mlpack
Static Public Member Functions | List of all members
mlpack::ann::IdentityFunction Class Reference

The identity function, defined by. More...

#include <identity_function.hpp>

Static Public Member Functions

static double Fn (const double x)
 Computes the identity function. More...
 
template<typename InputVecType , typename OutputVecType >
static void Fn (const InputVecType &x, OutputVecType &y)
 Computes the identity function. More...
 
static double Deriv (const double)
 Computes the first derivative of the identity function. More...
 
template<typename InputVecType , typename OutputVecType >
static void Deriv (const InputVecType &y, OutputVecType &x)
 Computes the first derivatives of the identity function. More...
 
template<typename eT >
static void Deriv (const arma::Cube< eT > &y, arma::Cube< eT > &x)
 Computes the first derivatives of the identity function using a 3rd order tensor as input. More...
 

Detailed Description

The identity function, defined by.

\begin{eqnarray*} f(x) &=& x \\ f'(x) &=& 1 \end{eqnarray*}

Member Function Documentation

◆ Deriv() [1/3]

static double mlpack::ann::IdentityFunction::Deriv ( const double  )
inlinestatic

Computes the first derivative of the identity function.

Parameters
*(x) Input data.
Returns
f'(x)

◆ Deriv() [2/3]

template<typename InputVecType , typename OutputVecType >
static void mlpack::ann::IdentityFunction::Deriv ( const InputVecType &  y,
OutputVecType &  x 
)
inlinestatic

Computes the first derivatives of the identity function.

Parameters
yInput data/activation.
xThe resulting derivatives.

◆ Deriv() [3/3]

template<typename eT >
static void mlpack::ann::IdentityFunction::Deriv ( const arma::Cube< eT > &  y,
arma::Cube< eT > &  x 
)
inlinestatic

Computes the first derivatives of the identity function using a 3rd order tensor as input.

Parameters
yInput activations.
xThe resulting derivatives.

◆ Fn() [1/2]

static double mlpack::ann::IdentityFunction::Fn ( const double  x)
inlinestatic

Computes the identity function.

Parameters
xInput data.
Returns
f(x).

◆ Fn() [2/2]

template<typename InputVecType , typename OutputVecType >
static void mlpack::ann::IdentityFunction::Fn ( const InputVecType &  x,
OutputVecType &  y 
)
inlinestatic

Computes the identity function.

Parameters
xInput data.
yThe resulting output activation.

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