ml-levenberg-marquardt/lib/error_calculation.js

Curve fitting method in javascript

/**
 * the sum of the weighted squares of the errors (or weighted residuals) between the data.y
 * and the curve-fit function.
 *
 * @param data - Array of points to fit in the format [x1, x2, ... ], [y1, y2, ... ]
 * @param parameters - Array of current parameter values
 * @param parameterizedFunction - The parameters and returns a function with the independent variable as a parameter
 * @param weightSquare - Square of weights (must be same length as data.x)
 */
export default function errorCalculation(data, parameters, parameterizedFunction, weightSquare) {
    let error = 0;
    const func = parameterizedFunction(parameters);
    for (let i = 0; i < data.x.length; i++) {
        error += (data.y[i] - func(data.x[i])) ** 2 / weightSquare[i];
    }
    return error;
}
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