The L_p metric for arbitrary integer p, with an option to take the root. More...

Public Member Functions
	LMetric ()

template < typename Archive >
void	Serialize (Archive &, const unsigned int)
	Serialize the metric (nothing to do). More...

Static Public Member Functions
template < typename VecTypeA , typename VecTypeB >
static VecTypeA::elem_type	Evaluate (const VecTypeA &a, const VecTypeB &b)
	Computes the distance between two points. More...

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

static const bool	TakeRoot = TTakeRoot
	Whether or not the root is taken. More...

Detailed Description

template<int TPower, bool TTakeRoot = true>
class mlpack::metric::LMetric< TPower, TTakeRoot >

The L_p metric for arbitrary integer p, with an option to take the root.

This class implements the standard L_p metric for two arbitrary vectors $ x $ and $ y $ of dimensionality $ n $ :

$d(x, y) = \left( \sum_{i = 1}^{n} | x_i - y_i |^p \right)^{\frac{1}{p}}.$

The value of p is given as a template parameter.

In addition, the function $ d(x, y) $ can be simplified, neglecting the p-root calculation. This is done by specifying the TakeRoot template parameter to be false. Then,

$d(x, y) = \sum_{i = 1}^{n} | x_i - y_i |^p$

It is faster to compute that distance, so TakeRoot is by default off. However, when TakeRoot is false, the distance given is not actually a true metric – it does not satisfy the triangle inequality. Some mlpack methods do not require the triangle inequality to operate correctly (such as the BinarySpaceTree), but setting TakeRoot = false in some cases will cause incorrect results.

A few convenience typedefs are given:

ManhattanDistance
EuclideanDistance
SquaredEuclideanDistance

Template Parameters

Power	Power of metric; i.e. Power = 1 gives the L1-norm (Manhattan distance).
TakeRoot	If true, the Power'th root of the result is taken before it is returned. Setting this to false causes the metric to not satisfy the Triangle Inequality (be careful!).

Definition at line 63 of file lmetric.hpp.

Constructor & Destructor Documentation

◆ LMetric()

LMetric ( )

inline

Definition at line 70 of file lmetric.hpp.

References LMetric< TPower, TTakeRoot >::Evaluate().

Member Function Documentation

◆ Evaluate()

static VecTypeA::elem_type Evaluate	(	const VecTypeA &	a,
		const VecTypeB &	b
	)

static

Computes the distance between two points.

Template Parameters

VecTypeA	Type of first vector (generally arma::vec or arma::sp_vec).
VecTypeB	Type of second vector.

Parameters

a	First vector.
b	Second vector.

Returns: Distance between vectors a and b.

Referenced by SphericalKernel::ConvolutionIntegral(), GaussianKernel::ConvolutionIntegral(), SphericalKernel::Evaluate(), TriangularKernel::Evaluate(), LaplacianKernel::Evaluate(), GaussianKernel::Evaluate(), and LMetric< TPower, TTakeRoot >::LMetric().

◆ Serialize()

void Serialize	(	Archive &	,
		const unsigned	int
	)

inline

Serialize the metric (nothing to do).

Definition at line 88 of file lmetric.hpp.

Member Data Documentation

◆ Power

const int Power = TPower

static

The power of the metric.

Definition at line 91 of file lmetric.hpp.

◆ TakeRoot

const bool TakeRoot = TTakeRoot

static

Whether or not the root is taken.

Definition at line 93 of file lmetric.hpp.

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

src/mlpack/core/metrics/lmetric.hpp

Public Member Functions

Static Public Member Functions

Static Public Attributes

Detailed Description

template<int TPower, bool TTakeRoot = true> class mlpack::metric::LMetric< TPower, TTakeRoot >

Constructor & Destructor Documentation

◆ LMetric()

Member Function Documentation

◆ Evaluate()

◆ Serialize()

Member Data Documentation

◆ Power

◆ TakeRoot

template<int TPower, bool TTakeRoot = true>
class mlpack::metric::LMetric< TPower, TTakeRoot >