Kaupenjoe

1 1 1
1 1 2
1 1 3
1 1 4
1 1 5
1 1 6
1 1 7
1 1 8
1 1 9
1 1 10

Kaupenjoe

#ifndef KNN1_POLYNOMREGRESSION_H
#define KNN1_POLYNOMREGRESSION_H

#include <iostream>
#include "matrix.h"

using namespace std;

class PolynomRegression {
public:

Kaupenjoe

void PolynomRegression::computeAandBandW(void)
{
    //Temporary Matrices with Dimension of model complexity + 1
    knn::matrix tempAE(mE+1, mE+1);
    knn::matrix tempBE(mE+1, 1);
    knn::matrix tempWE(mE+1, 1);

    std::ofstream logFile;
    logFile.open("log.txt",std::ios::out);

Kaupenjoe

std::vector<std::vector<double> > computeTrainingSin(unsigned int pA)
{
    //Temp Vectors
    std::vector<double> tempTrainingSinX (pA);
    std::vector<double> tempTrainingSinT (pA);
    std::vector<std::vector<double> > tempTrainingSin(2);

    for (int i = 1; i < pA; ++i)
    {

Kaupenjoe

1 1 1
1 1 2
1 1 3
1 1 4
1 1 5
1 1 6
1 1 7
1 1 8
1 1 9
1 1 10

Kaupenjoe

void PolynomRegression::computeAandBandW(void)
{
    //Temporary Matrices with Dimension of model complexity + 1
    knn::matrix tempAE(mE+1, mE+1);
    knn::matrix tempBE(mE+1, 1);
    knn::matrix tempWE(mE+1, 1);

    std::ofstream logFile;
    logFile.open("log.txt",std::ios::out);