The L_p regularizer for arbitrary integer p. More...

Public Member Functions
	LRegularizer (double factor=1.0)
	Create the regularizer object. More...

template
void	Evaluate (const MatType &weight, MatType &gradient)
	Calculate the gradient for regularization. More...

template
void	serialize (Archive &ar, const unsigned int)
	Serialize the regularizer (nothing to do). More...

Public Attributes
double	factor
	The constant for the regularization. More...

Static Public Attributes
static const int	Power = TPower
	The power of the regularizer. More...

Detailed Description

template
class mlpack::ann::LRegularizer< TPower >

The L_p regularizer for arbitrary integer p.

Template Parameters

Power Power of regularizer; i.e. Power = 1 gives the L1-regularization.

Definition at line 27 of file lregularizer.hpp.

Constructor & Destructor Documentation

◆ LRegularizer()

LRegularizer ( double factor = 1.0 )

Create the regularizer object.

Parameters

factor The factor for regularization.

Member Function Documentation

◆ Evaluate()

void Evaluate	(	const MatType &	weight,
		MatType &	gradient
	)

Calculate the gradient for regularization.

Template Parameters

MatType Type of weight matrix.

Parameters

weight	The weight matrix to be regularized.
gradient	The calculated gradient.

◆ serialize()

void serialize	(	Archive &	ar,
		const unsigned	int
	)

Serialize the regularizer (nothing to do).

Member Data Documentation

◆ factor

double factor

The constant for the regularization.

Definition at line 55 of file lregularizer.hpp.

◆ Power

const int Power = TPower

static

The power of the regularizer.

Definition at line 52 of file lregularizer.hpp.

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/regularizer/lregularizer.hpp

Public Member Functions

Public Attributes

Static Public Attributes