2023-01-23 21:13:26 +01:00
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//
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// UniLinReg.cpp
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//
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// Created by Marc Melikyan on 9/29/20.
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//
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2023-01-24 18:12:23 +01:00
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#include "uni_lin_reg.h"
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#include "../lin_alg/lin_alg.h"
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#include "../stat/stat.h"
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2023-01-23 21:13:26 +01:00
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#include <iostream>
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// General Multivariate Linear Regression Model
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// ŷ = b0 + b1x1 + b2x2 + ... + bkxk
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// Univariate Linear Regression Model
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// ŷ = b0 + b1x1
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2023-01-24 19:20:18 +01:00
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2023-01-25 01:09:37 +01:00
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MLPPUniLinReg::MLPPUniLinReg(std::vector<double> x, std::vector<double> y) :
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2023-01-24 19:00:54 +01:00
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inputSet(x), outputSet(y) {
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2023-01-25 01:09:37 +01:00
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MLPPStat estimator;
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2023-01-24 19:00:54 +01:00
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b1 = estimator.b1Estimation(inputSet, outputSet);
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b0 = estimator.b0Estimation(inputSet, outputSet);
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}
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2023-01-23 21:13:26 +01:00
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2023-01-25 01:09:37 +01:00
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std::vector<double> MLPPUniLinReg::modelSetTest(std::vector<double> x) {
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2023-01-25 00:29:02 +01:00
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MLPPLinAlg alg;
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2023-01-24 19:00:54 +01:00
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return alg.scalarAdd(b0, alg.scalarMultiply(b1, x));
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}
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2023-01-23 21:13:26 +01:00
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2023-01-25 01:09:37 +01:00
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double MLPPUniLinReg::modelTest(double input) {
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2023-01-24 19:00:54 +01:00
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return b0 + b1 * input;
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2023-01-23 21:13:26 +01:00
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}
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2023-01-24 19:20:18 +01:00
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