Class AbstractCurveFitter

  • Direct Known Subclasses:

    public abstract class AbstractCurveFitter
    extends Object
    Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.
    A fitter will find the optimal values of the parameters by fitting the curve so it remains very close to a set of N observed points (xk, yk), 0 <= k < N.
    An algorithm usually performs the fit by finding the parameter values that minimizes the objective function
      ∑yk - f(xk)2,
    which is actually a least-squares problem. This class contains boilerplate code for calling the fit(Collection) method for obtaining the parameters. The problem setup, such as the choice of optimization algorithm for fitting a specific function is delegated to subclasses.
    • Method Detail

      • fit

        public double[] fit​(Collection<WeightedObservedPoint> points)
        Fits a curve. This method computes the coefficients of the curve that best fit the sample of observed points.
        points - Observations.
        the fitted parameters.
      • getProblem

        protected abstract LeastSquaresProblem getProblem​(Collection<WeightedObservedPoint> points)
        Creates a least squares problem corresponding to the appropriate curve.
        points - Sample points.
        the least squares problem to use for fitting the curve to the given points.