Statistics.hpp File Reference

#include <vector>
#include <cmath>
#include <iostream>
#include "Data.hpp"

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Namespaces
	mltk
	UFJF-MLTK main namespace for core functionalities.
	mltk::stats
	Namespace for statistical methods.

Functions
template<typename T , typename R >
double	mltk::stats::mean (const mltk::Point< T, R > &p)
	Compute the mean (average) of a point. More...
template<typename T >
double	mltk::stats::mean (const Data< T > &data, size_t feat)
	Compute the mean (average) of a feature in data. More...
template<typename T , typename R >
double	mltk::stats::std_dev (const mltk::Point< T, R > &p)
	Compute the standard deviation of a point. More...
template<typename T >
double	mltk::stats::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	mltk::stats::var (const mltk::Point< T, R > &p)
	Compute the variance of a point. More...
template<typename T >
double	mltk::stats::var (const Data< T > &data, size_t feat)
	Compute the variance of a feature in data. More...
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. More...
template<typename T >
double	mltk::stats::radius (const Data< T > &data, int feat, double q)
	Returns radius of the ball that circ. the data. More...
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. More...
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. More...

Detailed Description

Statistics wrapper class

Author

Mateus Coutinho Marim