A library made in c++ for simple linear regression.

Download SimpleLinearRegression.h and include the following library in your program.

    #include "SimpleLinearRegression.h"
    using linearRegressionMaths;

• Declare two double variables m and c in your main method.

    double m = 0, c = 0;
    // m is for slope and c is for intercept

• Take two vectors of equal size and pass them to the respective functions as mentioned below.

• calculateSlope
• calculateIntercept
• mean
• vectorMultiplication
• predict
• score

• calculateSlope: Calculates the slope of the best fit line, takes an input of two vectors X and Y, to return a double value.
• calculateIntercept: Calculates the intercept of the best fit line, same params like calculateSlope and returns a double value.
• mean: Returns a double value of the mean of the vector passed as a parameter.
• vectorMultiplication: Takes two vectors X and Y and returns a vector of the same size containing the multiplication of element by element of X and Y.
• predict: Takes 3 params of a vector of testing data, slope, and intercept, and returns a vector of the predicted values of the testing data vector.
• score: Takes 2 params of vectors of truth values and predicted values, and returns a score <=1, telling how good the fit line is.

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.

MIT