mltk::stats Namespace Reference

Namespace for statistical methods. More...

Functions
template<typename T , typename R >
double	mean (const mltk::Point< T, R > &p)
	Compute the mean (average) of a point. More...
template<typename T >
double	mean (const Data< T > &data, size_t feat)
	Compute the mean (average) of a feature in data. More...
template<typename T , typename R >
double	std_dev (const mltk::Point< T, R > &p)
	Compute the standard deviation of a point. More...
template<typename T >
double	std_dev (const Data< T > &data, size_t feat)
	Compute the standard deviation of a feature in data. More...
template<typename T , typename R >
double	var (const mltk::Point< T, R > &p)
	Compute the variance of a point. More...
template<typename T >
double	var (const Data< T > &data, size_t feat)
	Compute the variance of a feature in data. More...
template<typename T , typename R >
double	covar (const mltk::Point< T, R > &p, const mltk::Point< T, R > &p1)
	Compute the covariance between two points. More...
template<typename T >
double	radius (const Data< T > &data, int feat, double q)
	Returns radius of the ball that circ. the data. More...
template<typename T >
double	distCenters (const Data< T > &data, int feat)
	Compute the distance between the centers of binary classes without given features. More...
template<typename T >
double	distCentersWithoutFeats (const Data< T > &data, const std::vector< int > &feats, int index)
	Compute the distance between the centers of binary classes without given features. More...

Detailed Description

Namespace for statistical methods.

Function Documentation

covar()

template<typename T , typename R >

double mltk::stats::covar	(	const mltk::Point< T, R > &	p,
		const mltk::Point< T, R > &	p1
	)

Compute the covariance between two points.

Parameters

p	First point to compute the variance.
p1	second point to compute the variance.

Returns

double

distCenters()

template<typename T >

double mltk::stats::distCenters	(	const Data< T > &	data,
		int	feat
	)

Compute the distance between the centers of binary classes without given features.

Parameters

data	Dataset to compute the metrics.
feats	Features to be excluded from the computation.
index	Feature to be ignored (-1 uses all features).

Returns

double

distCentersWithoutFeats()

template<typename T >

double mltk::stats::distCentersWithoutFeats	(	const Data< T > &	data,
		const std::vector< int > &	feats,
		int	index
	)

Compute the distance between the centers of binary classes without given features.

Parameters

data	Dataset to compute the metrics.
feats	Features to be excluded from the computation.
index	Feature to be ignored (-1 uses all features).

Returns

double

mean() [1/2]

template<typename T >

double mltk::stats::mean	(	const Data< T > &	data,
		size_t	feat
	)

Compute the mean (average) of a feature in data.

Parameters

feat	Feature to compute the mean.

Returns

double

mean() [2/2]

template<typename T , typename R >

double mltk::stats::mean

(

const mltk::Point< T, R > &

p

)

Compute the mean (average) of a point.

Parameters

p	Point to compute the mean.

Returns

double

radius()

template<typename T >

double mltk::stats::radius	(	const Data< T > &	data,
		int	feat,
		double	q
	)

Returns radius of the ball that circ. the data.

Parameters

data	Dataset to compute the radius.
feat	Feature to be ignored (-1 uses all features).
q	Lp-Norm to be used.

Returns

double

std_dev() [1/2]

template<typename T >

double mltk::stats::std_dev	(	const Data< T > &	data,
		size_t	feat
	)

Compute the standard deviation of a feature in data.

Parameters

feat	Feature to compute the standard deviation.

Returns

double

std_dev() [2/2]

template<typename T , typename R >

double mltk::stats::std_dev

(

const mltk::Point< T, R > &

p

)

Compute the standard deviation of a point.

Parameters

p	Point to compute the mean.

Returns

double

var() [1/2]

template<typename T >

double mltk::stats::var	(	const Data< T > &	data,
		size_t	feat
	)

Compute the variance of a feature in data.

Parameters

feat	Feature to compute the variance.

Returns

double

var() [2/2]

template<typename T , typename R >

double mltk::stats::var

(

const mltk::Point< T, R > &

p

)

Compute the variance of a point.

Parameters

p	Point to compute the variance.

Returns

double