mirror of
https://github.com/Relintai/pmlpp.git
synced 2024-11-13 13:57:19 +01:00
252 lines
8.6 KiB
C++
252 lines
8.6 KiB
C++
|
|
#ifndef MLPP_LIN_ALG_H
|
|
#define MLPP_LIN_ALG_H
|
|
|
|
//
|
|
// LinAlg.hpp
|
|
//
|
|
// Created by Marc Melikyan on 1/8/21.
|
|
//
|
|
|
|
//TODO Methods here should probably use error macros in a way where they get disabled in non-tools(?) (maybe release?) builds
|
|
|
|
#ifndef GDNATIVE
|
|
|
|
#include "core/math/math_defs.h"
|
|
|
|
#include "core/object/reference.h"
|
|
|
|
#else
|
|
|
|
#include "core/defs.h"
|
|
#include "core/math_funcs.h"
|
|
|
|
#include "gen/resource.h"
|
|
|
|
#endif
|
|
|
|
#include "../lin_alg/mlpp_matrix.h"
|
|
#include "../lin_alg/mlpp_vector.h"
|
|
|
|
#include <tuple>
|
|
#include <vector>
|
|
|
|
class MLPPLinAlg : public Reference {
|
|
GDCLASS(MLPPLinAlg, Reference);
|
|
|
|
public:
|
|
// MATRIX FUNCTIONS
|
|
|
|
//std::vector<std::vector<real_t>> gramMatrix(std::vector<std::vector<real_t>> A);
|
|
//bool linearIndependenceChecker(std::vector<std::vector<real_t>> A);
|
|
|
|
Ref<MLPPMatrix> gaussian_noise(int n, int m);
|
|
|
|
Ref<MLPPMatrix> additionnm(const Ref<MLPPMatrix> &A, const Ref<MLPPMatrix> &B);
|
|
Ref<MLPPMatrix> subtractionnm(const Ref<MLPPMatrix> &A, const Ref<MLPPMatrix> &B);
|
|
Ref<MLPPMatrix> matmultnm(const Ref<MLPPMatrix> &A, const Ref<MLPPMatrix> &B);
|
|
|
|
Ref<MLPPMatrix> hadamard_productnm(const Ref<MLPPMatrix> &A, const Ref<MLPPMatrix> &B);
|
|
Ref<MLPPMatrix> kronecker_productnm(const Ref<MLPPMatrix> &A, const Ref<MLPPMatrix> &B);
|
|
Ref<MLPPMatrix> division_element_wisenvnm(const Ref<MLPPMatrix> &A, const Ref<MLPPMatrix> &B);
|
|
|
|
Ref<MLPPMatrix> transposenm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> scalar_multiplynm(real_t scalar, const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> scalar_addnm(real_t scalar, const Ref<MLPPMatrix> &A);
|
|
|
|
Ref<MLPPMatrix> lognm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> log10nm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> expnm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> erfnm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> exponentiatenm(const Ref<MLPPMatrix> &A, real_t p);
|
|
Ref<MLPPMatrix> sqrtnm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> cbrtnm(const Ref<MLPPMatrix> &A);
|
|
|
|
//std::vector<std::vector<real_t>> matrixPower(std::vector<std::vector<real_t>> A, int n);
|
|
|
|
Ref<MLPPMatrix> absnm(const Ref<MLPPMatrix> &A);
|
|
|
|
real_t detm(const Ref<MLPPMatrix> &A, int d);
|
|
|
|
//real_t trace(std::vector<std::vector<real_t>> A);
|
|
|
|
Ref<MLPPMatrix> cofactornm(const Ref<MLPPMatrix> &A, int n, int i, int j);
|
|
Ref<MLPPMatrix> adjointnm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> inversenm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> pinversenm(const Ref<MLPPMatrix> &A);
|
|
|
|
Ref<MLPPMatrix> zeromatnm(int n, int m);
|
|
Ref<MLPPMatrix> onematnm(int n, int m);
|
|
Ref<MLPPMatrix> fullnm(int n, int m, int k);
|
|
|
|
Ref<MLPPMatrix> sinnm(const Ref<MLPPMatrix> &A);
|
|
Ref<MLPPMatrix> cosnm(const Ref<MLPPMatrix> &A);
|
|
|
|
Ref<MLPPMatrix> maxnm(const Ref<MLPPMatrix> &A, const Ref<MLPPMatrix> &B);
|
|
|
|
//real_t max(std::vector<std::vector<real_t>> A);
|
|
//real_t min(std::vector<std::vector<real_t>> A);
|
|
|
|
//std::vector<std::vector<real_t>> round(std::vector<std::vector<real_t>> A);
|
|
|
|
//real_t norm_2(std::vector<std::vector<real_t>> A);
|
|
|
|
Ref<MLPPMatrix> identitym(int d);
|
|
|
|
Ref<MLPPMatrix> covnm(const Ref<MLPPMatrix> &A);
|
|
|
|
struct EigenResult {
|
|
Ref<MLPPMatrix> eigen_vectors;
|
|
Ref<MLPPMatrix> eigen_values;
|
|
};
|
|
|
|
EigenResult eigen(Ref<MLPPMatrix> A);
|
|
|
|
struct SVDResult {
|
|
Ref<MLPPMatrix> U;
|
|
Ref<MLPPMatrix> S;
|
|
Ref<MLPPMatrix> Vt;
|
|
};
|
|
|
|
SVDResult svd(const Ref<MLPPMatrix> &A);
|
|
|
|
//std::vector<real_t> vectorProjection(std::vector<real_t> a, std::vector<real_t> b);
|
|
|
|
//std::vector<std::vector<real_t>> gramSchmidtProcess(std::vector<std::vector<real_t>> A);
|
|
|
|
/*
|
|
struct QRDResult {
|
|
std::vector<std::vector<real_t>> Q;
|
|
std::vector<std::vector<real_t>> R;
|
|
};
|
|
*/
|
|
|
|
//QRDResult qrd(std::vector<std::vector<real_t>> A);
|
|
|
|
/*
|
|
struct CholeskyResult {
|
|
std::vector<std::vector<real_t>> L;
|
|
std::vector<std::vector<real_t>> Lt;
|
|
};
|
|
|
|
CholeskyResult cholesky(std::vector<std::vector<real_t>> A);
|
|
*/
|
|
|
|
//real_t sum_elements(std::vector<std::vector<real_t>> A);
|
|
|
|
Ref<MLPPVector> flattenvvnv(const Ref<MLPPMatrix> &A);
|
|
|
|
/*
|
|
std::vector<real_t> solve(std::vector<std::vector<real_t>> A, std::vector<real_t> b);
|
|
|
|
bool positiveDefiniteChecker(std::vector<std::vector<real_t>> A);
|
|
|
|
bool negativeDefiniteChecker(std::vector<std::vector<real_t>> A);
|
|
|
|
bool zeroEigenvalue(std::vector<std::vector<real_t>> A);
|
|
*/
|
|
|
|
// VECTOR FUNCTIONS
|
|
|
|
Ref<MLPPVector> flattenmnv(const Vector<Ref<MLPPVector>> &A);
|
|
|
|
Ref<MLPPVector> hadamard_productnv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
void hadamard_productv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b, Ref<MLPPVector> out);
|
|
|
|
Ref<MLPPVector> division_element_wisenv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
|
|
Ref<MLPPVector> scalar_multiplynv(real_t scalar, const Ref<MLPPVector> &a);
|
|
void scalar_multiplyv(real_t scalar, const Ref<MLPPVector> &a, Ref<MLPPVector> out);
|
|
|
|
Ref<MLPPVector> scalar_addnv(real_t scalar, const Ref<MLPPVector> &a);
|
|
void scalar_addv(real_t scalar, const Ref<MLPPVector> &a, Ref<MLPPVector> out);
|
|
|
|
Ref<MLPPVector> additionnv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
void additionv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b, Ref<MLPPVector> out);
|
|
|
|
Ref<MLPPVector> subtractionnv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
void subtractionv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b, Ref<MLPPVector> out);
|
|
|
|
Ref<MLPPVector> lognv(const Ref<MLPPVector> &a);
|
|
Ref<MLPPVector> log10nv(const Ref<MLPPVector> &a);
|
|
Ref<MLPPVector> expnv(const Ref<MLPPVector> &a);
|
|
Ref<MLPPVector> erfnv(const Ref<MLPPVector> &a);
|
|
Ref<MLPPVector> exponentiatenv(const Ref<MLPPVector> &a, real_t p);
|
|
Ref<MLPPVector> sqrtnv(const Ref<MLPPVector> &a);
|
|
Ref<MLPPVector> cbrtnv(const Ref<MLPPVector> &a);
|
|
|
|
real_t dotnv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
|
|
//std::vector<real_t> cross(std::vector<real_t> a, std::vector<real_t> b);
|
|
|
|
Ref<MLPPVector> absv(const Ref<MLPPVector> &a);
|
|
|
|
Ref<MLPPVector> zerovecnv(int n);
|
|
Ref<MLPPVector> onevecnv(int n);
|
|
Ref<MLPPVector> fullnv(int n, int k);
|
|
|
|
Ref<MLPPVector> sinnv(const Ref<MLPPVector> &a);
|
|
Ref<MLPPVector> cosnv(const Ref<MLPPVector> &a);
|
|
|
|
Ref<MLPPVector> maxnvv(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
|
|
real_t maxvr(const Ref<MLPPVector> &a);
|
|
real_t minvr(const Ref<MLPPVector> &a);
|
|
|
|
//std::vector<real_t> round(std::vector<real_t> a);
|
|
|
|
real_t euclidean_distance(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
real_t euclidean_distance_squared(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b);
|
|
|
|
/*
|
|
real_t norm_2(std::vector<real_t> a);
|
|
*/
|
|
|
|
real_t norm_sqv(const Ref<MLPPVector> &a);
|
|
|
|
real_t sum_elementsv(const Ref<MLPPVector> &a);
|
|
|
|
//real_t cosineSimilarity(std::vector<real_t> a, std::vector<real_t> b);
|
|
|
|
// MATRIX-VECTOR FUNCTIONS
|
|
Ref<MLPPVector> mat_vec_multnv(const Ref<MLPPMatrix> &A, const Ref<MLPPVector> &b);
|
|
Ref<MLPPVector> subtract_matrix_rowsnv(const Ref<MLPPVector> &a, const Ref<MLPPMatrix> &B);
|
|
|
|
Ref<MLPPMatrix> outer_product(const Ref<MLPPVector> &a, const Ref<MLPPVector> &b); // This multiplies a, bT
|
|
Ref<MLPPMatrix> mat_vec_addnm(const Ref<MLPPMatrix> &A, const Ref<MLPPVector> &b);
|
|
Ref<MLPPMatrix> diagnm(const Ref<MLPPVector> &a);
|
|
|
|
// TENSOR FUNCTIONS
|
|
Vector<Ref<MLPPMatrix>> additionnvt(const Vector<Ref<MLPPMatrix>> &A, const Vector<Ref<MLPPMatrix>> &B);
|
|
|
|
void division_element_wisevt(const Vector<Ref<MLPPMatrix>> &A, const Vector<Ref<MLPPMatrix>> &B);
|
|
Vector<Ref<MLPPMatrix>> division_element_wisenvnvt(const Vector<Ref<MLPPMatrix>> &A, const Vector<Ref<MLPPMatrix>> &B);
|
|
|
|
Vector<Ref<MLPPMatrix>> sqrtnvt(const Vector<Ref<MLPPMatrix>> &A);
|
|
|
|
Vector<Ref<MLPPMatrix>> exponentiatenvt(const Vector<Ref<MLPPMatrix>> &A, real_t p);
|
|
|
|
//std::vector<std::vector<real_t>> tensor_vec_mult(std::vector<std::vector<std::vector<real_t>>> A, std::vector<real_t> b);
|
|
|
|
//std::vector<real_t> flatten(std::vector<std::vector<std::vector<real_t>>> A);
|
|
|
|
Vector<Ref<MLPPMatrix>> scalar_multiplynvt(real_t scalar, Vector<Ref<MLPPMatrix>> A);
|
|
Vector<Ref<MLPPMatrix>> scalar_addnvt(real_t scalar, Vector<Ref<MLPPMatrix>> A);
|
|
|
|
void resizevt(Vector<Ref<MLPPMatrix>> &r_target, const Vector<Ref<MLPPMatrix>> &A);
|
|
Vector<Ref<MLPPMatrix>> resizencvt(const Vector<Ref<MLPPMatrix>> &A);
|
|
|
|
//std::vector<std::vector<std::vector<real_t>>> hadamard_product(std::vector<std::vector<std::vector<real_t>>> A, std::vector<std::vector<std::vector<real_t>>> B);
|
|
|
|
Vector<Ref<MLPPMatrix>> maxnvt(const Vector<Ref<MLPPMatrix>> &A, const Vector<Ref<MLPPMatrix>> &B);
|
|
Vector<Ref<MLPPMatrix>> absnvt(const Vector<Ref<MLPPMatrix>> &A);
|
|
|
|
//real_t norm_2(std::vector<std::vector<std::vector<real_t>>> A);
|
|
|
|
//std::vector<std::vector<std::vector<real_t>>> vector_wise_tensor_product(std::vector<std::vector<std::vector<real_t>>> A, std::vector<std::vector<real_t>> B);
|
|
|
|
protected:
|
|
static void _bind_methods();
|
|
};
|
|
|
|
#endif /* LinAlg_hpp */ |