Relintai/pmlpp
1
0
Fork 0
mirror of https://github.com/Relintai/pmlpp.git synced 2025-05-05 18:11:35 +02:00
Code Issues Packages Projects Releases Wiki Activity

Added UniLinRegOld.

Browse Source
This commit is contained in:
Relintai 2023-02-08 12:46:56 +01:00
parent ee727b327d
commit c49d089791
5 changed files with 67 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
SCsub
View File

@ -56,6 +56,7 @@ sources = [
"mlpp/hidden_layer/hidden_layer_old.cpp", "mlpp/hidden_layer/hidden_layer_old.cpp",
"mlpp/mlp/mlp_old.cpp", "mlpp/mlp/mlp_old.cpp",
"mlpp/pca/pca_old.cpp", "mlpp/pca/pca_old.cpp",
"mlpp/uni_lin_reg/uni_lin_reg_old.cpp",
"test/mlpp_tests.cpp", "test/mlpp_tests.cpp",
] ]

4
mlpp/uni_lin_reg/uni_lin_reg.cpp
View File

@ -5,8 +5,10 @@
// //
#include "uni_lin_reg.h" #include "uni_lin_reg.h"
#include "../lin_alg/lin_alg.h" #include "../lin_alg/lin_alg.h"
#include "../stat/stat.h" #include "../stat/stat.h"
#include <iostream> #include <iostream>
// General Multivariate Linear Regression Model // General Multivariate Linear Regression Model
@ -15,7 +17,6 @@
// Univariate Linear Regression Model // Univariate Linear Regression Model
// ŷ = b0 + b1x1 // ŷ = b0 + b1x1
MLPPUniLinReg::MLPPUniLinReg(std::vector<real_t> x, std::vector<real_t> y) : MLPPUniLinReg::MLPPUniLinReg(std::vector<real_t> x, std::vector<real_t> y) :
inputSet(x), outputSet(y) { inputSet(x), outputSet(y) {
MLPPStat estimator; MLPPStat estimator;
@ -31,4 +32,3 @@ std::vector<real_t> MLPPUniLinReg::modelSetTest(std::vector<real_t> x) {
real_t MLPPUniLinReg::modelTest(real_t input) { real_t MLPPUniLinReg::modelTest(real_t input) {
return b0 + b1 * input; return b0 + b1 * input;
} }

2
mlpp/uni_lin_reg/uni_lin_reg.h
View File

@ -12,7 +12,6 @@
#include <vector> #include <vector>
class MLPPUniLinReg { class MLPPUniLinReg {
public: public:
MLPPUniLinReg(std::vector<real_t> x, std::vector<real_t> y); MLPPUniLinReg(std::vector<real_t> x, std::vector<real_t> y);
@ -27,5 +26,4 @@ private:
real_t b1; real_t b1;
}; };
#endif /* UniLinReg_hpp */ #endif /* UniLinReg_hpp */

34
mlpp/uni_lin_reg/uni_lin_reg_old.cpp Normal file
View File

@ -0,0 +1,34 @@
//
// UniLinReg.cpp
//
// Created by Marc Melikyan on 9/29/20.
//
#include "uni_lin_reg_old.h"
#include "../lin_alg/lin_alg.h"
#include "../stat/stat.h"
#include <iostream>
// General Multivariate Linear Regression Model
// ŷ = b0 + b1x1 + b2x2 + ... + bkxk
// Univariate Linear Regression Model
// ŷ = b0 + b1x1
MLPPUniLinRegOld::MLPPUniLinRegOld(std::vector<real_t> x, std::vector<real_t> y) :
inputSet(x), outputSet(y) {
MLPPStat estimator;
b1 = estimator.b1Estimation(inputSet, outputSet);
b0 = estimator.b0Estimation(inputSet, outputSet);
}
std::vector<real_t> MLPPUniLinRegOld::modelSetTest(std::vector<real_t> x) {
MLPPLinAlg alg;
return alg.scalarAdd(b0, alg.scalarMultiply(b1, x));
}
real_t MLPPUniLinRegOld::modelTest(real_t input) {
return b0 + b1 * input;
}

29
mlpp/uni_lin_reg/uni_lin_reg_old.h Normal file
View File

@ -0,0 +1,29 @@
#ifndef MLPP_UNI_LIN_REG_OLD_H
#define MLPP_UNI_LIN_REG_OLD_H
//
// UniLinReg.hpp
//
// Created by Marc Melikyan on 9/29/20.
//
#include "core/math/math_defs.h"
#include <vector>
class MLPPUniLinRegOld {
public:
MLPPUniLinRegOld(std::vector<real_t> x, std::vector<real_t> y);
std::vector<real_t> modelSetTest(std::vector<real_t> x);
real_t modelTest(real_t x);
private:
std::vector<real_t> inputSet;
std::vector<real_t> outputSet;
real_t b0;
real_t b1;
};
#endif /* UniLinReg_hpp */