mirror of
https://github.com/Relintai/pmlpp.git
synced 2024-11-14 14:07:18 +01:00
64 lines
2.4 KiB
C++
64 lines
2.4 KiB
C++
|
|
#ifndef MLPP_STAT_H
|
|
#define MLPP_STAT_H
|
|
|
|
//
|
|
// Stat.hpp
|
|
//
|
|
// Created by Marc Melikyan on 9/29/20.
|
|
//
|
|
|
|
#include "core/math/math_defs.h"
|
|
|
|
#include "../lin_alg/mlpp_matrix.h"
|
|
#include "../lin_alg/mlpp_vector.h"
|
|
|
|
#include <vector>
|
|
|
|
class MLPPStat {
|
|
public:
|
|
// These functions are for univariate lin reg module- not for users.
|
|
real_t b0Estimation(const std::vector<real_t> &x, const std::vector<real_t> &y);
|
|
real_t b1Estimation(const std::vector<real_t> &x, const std::vector<real_t> &y);
|
|
|
|
real_t b0_estimation(const Ref<MLPPVector> &x, const Ref<MLPPVector> &y);
|
|
real_t b1_estimation(const Ref<MLPPVector> &x, const Ref<MLPPVector> &y);
|
|
|
|
// Statistical Functions
|
|
real_t mean(const std::vector<real_t> &x);
|
|
real_t median(std::vector<real_t> x);
|
|
std::vector<real_t> mode(const std::vector<real_t> &x);
|
|
real_t range(const std::vector<real_t> &x);
|
|
real_t midrange(const std::vector<real_t> &x);
|
|
real_t absAvgDeviation(const std::vector<real_t> &x);
|
|
real_t standardDeviation(const std::vector<real_t> &x);
|
|
real_t variance(const std::vector<real_t> &x);
|
|
real_t covariance(const std::vector<real_t> &x, const std::vector<real_t> &y);
|
|
real_t correlation(const std::vector<real_t> &x, const std::vector<real_t> &y);
|
|
real_t R2(const std::vector<real_t> &x, const std::vector<real_t> &y);
|
|
real_t chebyshevIneq(const real_t k);
|
|
|
|
real_t meanv(const Ref<MLPPVector> &x);
|
|
real_t standard_deviationv(const Ref<MLPPVector> &x);
|
|
real_t variancev(const Ref<MLPPVector> &x);
|
|
real_t covariancev(const Ref<MLPPVector> &x, const Ref<MLPPVector> &y);
|
|
|
|
// Extras
|
|
real_t weightedMean(const std::vector<real_t> &x, const std::vector<real_t> &weights);
|
|
real_t geometricMean(const std::vector<real_t> &x);
|
|
real_t harmonicMean(const std::vector<real_t> &x);
|
|
real_t RMS(const std::vector<real_t> &x);
|
|
real_t powerMean(const std::vector<real_t> &x, const real_t p);
|
|
real_t lehmerMean(const std::vector<real_t> &x, const real_t p);
|
|
real_t weightedLehmerMean(const std::vector<real_t> &x, const std::vector<real_t> &weights, const real_t p);
|
|
real_t contraHarmonicMean(const std::vector<real_t> &x);
|
|
real_t heronianMean(const real_t A, const real_t B);
|
|
real_t heinzMean(const real_t A, const real_t B, const real_t x);
|
|
real_t neumanSandorMean(const real_t a, const real_t b);
|
|
real_t stolarskyMean(const real_t x, const real_t y, const real_t p);
|
|
real_t identricMean(const real_t x, const real_t y);
|
|
real_t logMean(const real_t x, const real_t y);
|
|
};
|
|
|
|
#endif /* Stat_hpp */
|