#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 "core/object/reference.h" #include "../lin_alg/mlpp_matrix.h" #include "../lin_alg/mlpp_vector.h" #include class MLPPStat : public Reference { GDCLASS(MLPPStat, Reference); public: // These functions are for univariate lin reg module- not for users. real_t b0_estimation(const Ref &x, const Ref &y); real_t b1_estimation(const Ref &x, const Ref &y); // Statistical Functions real_t median(const Ref &x); Ref mode(const Ref &x); real_t range(const Ref &x); real_t midrange(const Ref &x); real_t abs_avg_deviation(const Ref &x); real_t correlation(const Ref &x, const Ref &y); real_t r2(const Ref &x, const Ref &y); real_t chebyshev_ineq(const real_t k); real_t meanv(const Ref &x); real_t standard_deviationv(const Ref &x); real_t variancev(const Ref &x); real_t covariancev(const Ref &x, const Ref &y); // Extras real_t weighted_mean(const Ref &x, const Ref &weights); real_t geometric_mean(const Ref &x); real_t harmonic_mean(const Ref &x); real_t rms(const Ref &x); real_t power_mean(const Ref &x, const real_t p); real_t lehmer_mean(const Ref &x, const real_t p); real_t weighted_lehmer_mean(const Ref &x, const Ref &weights, const real_t p); real_t contra_harmonic_mean(const Ref &x); real_t heronian_mean(const real_t A, const real_t B); real_t heinz_mean(const real_t A, const real_t B, const real_t x); real_t neuman_sandor_mean(const real_t a, const real_t b); real_t stolarsky_mean(const real_t x, const real_t y, const real_t p); real_t identric_mean(const real_t x, const real_t y); real_t log_mean(const real_t x, const real_t y); protected: static void _bind_methods(); }; #endif /* Stat_hpp */