regression.cpp File Reference

#include <iostream>
#include <openGPMP/ml/linreg.hpp>
#include <stdio.h>

Go to the source code of this file.

Functions
int	main ()

Function Documentation

main()

int main

(

void

)

Definition at line 14 of file regression.cpp.

           {
    const char *test_file = "../../data/school_scores.csv";
    freopen(test_file, "r", stdin);
    // declare Regression class object
    gpmp::ml::LinearRegression reg;
 
    // gpmp::DataTable dt;
    // dt.csv_read(test_file, drop_col_names=true);
    //
 
    // int n = reg.num_rows(test_file);
    printf("LINEAR REGRESSION EXAMPLE ON YEAR/GPA DATA IN "
           "MATHEMATICS\n");
 
    // printf("Number of rows in data set: %d\n", n);
    // Calling function takeInput to take input of n pairs
    reg.get_input(test_file);
 
    // Printing the best fitting line
    reg.best_fit();
 
    /* CALCULATING PREDICTIONS */
    int v1 = 1995;
    double v1_v = reg.predict(v1);
    double v1_e = reg.error_in(v1);
    printf("Predicted value at %d   = %f\n", v1, v1_v);
    printf("Error value at %d       = %f\n\n", v1, v1_e);
 
    int v2 = 1997;
    double v2_v = reg.predict(v2);
    double v2_e = reg.error_in(v2);
    printf("Predicted value at %d   = %f\n", v2, v2_v);
    printf("Error value at %d       = %f\n\n", v2, v2_e);
 
    int v3 = 1999;
    double v3_v = reg.predict(v3);
    double v3_e = reg.error_in(v3);
    printf("Predicted value at %d   = %f\n", v3, v3_v);
    printf("Error value at %d       = %f\n\n", v3, v3_e);
 
    int v4 = 2001;
    double v4_v = reg.predict(v4);
    double v4_e = reg.error_in(v4);
    printf("Predicted value at %d   = %f\n", v4, v4_v);
    printf("Error value at %d       = %f\n\n", v4, v4_e);
 
    int v5 = 2003;
    double v5_v = reg.predict(v5);
    double v5_e = reg.error_in(v5);
    printf("Predicted value at %d   = %f\n", v5, v5_v);
    printf("Error value at %d       = %f\n\n", v5, v5_e);
 
    int v6 = 2005;
    double v6_v = reg.predict(v6);
    double v6_e = reg.error_in(v6);
    printf("Predicted value at %d   = %f\n", v6, v6_v);
    printf("Error value at %d       = %f\n\n", v6, v6_e);
 
    int v7 = 2006;
    double v7_v = reg.predict(v7);
    double v7_e = reg.error_in(v7);
    printf("Predicted value at %d   = %f\n", v7, v7_v);
    printf("Error value at %d       = %f\n\n", v7, v7_e);
 
    int v8 = 2007;
    double v8_v = reg.predict(v8);
    double v8_e = reg.error_in(v8);
    printf("Predicted value at %d   = %f\n", v8, v8_v);
    printf("Error value at %d       = %f\n\n", v8, v8_e);
 
    int v10 = 2016;
    double v10_v = reg.predict(v10);
    double v10_e = reg.error_in(v10);
    printf("Predicted value at %d   = %f\n", v10, v10_v);
    printf("Error value at %d       = %f\n\n", v10, v10_e);
 
    int v11 = 2017;
    double v11_v = reg.predict(v11);
    double v11_e = reg.error_in(v11);
    printf("Predicted value at %d   = %f\n", v11, v11_v);
    printf("Error value at %d       = %f\n\n", v11, v11_e);
}

References gpmp::ml::LinearRegression::best_fit(), gpmp::ml::LinearRegression::error_in(), gpmp::ml::LinearRegression::get_input(), and gpmp::ml::LinearRegression::predict().