Class GaussianFitter


  • @Deprecated
    public class GaussianFitter
    extends CurveFitter<Gaussian.Parametric>
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    Fits points to a Gaussian function.

    Usage example:

       GaussianFitter fitter = new GaussianFitter(
         new LevenbergMarquardtOptimizer());
       fitter.addObservedPoint(4.0254623,  531026.0);
       fitter.addObservedPoint(4.03128248, 984167.0);
       fitter.addObservedPoint(4.03839603, 1887233.0);
       fitter.addObservedPoint(4.04421621, 2687152.0);
       fitter.addObservedPoint(4.05132976, 3461228.0);
       fitter.addObservedPoint(4.05326982, 3580526.0);
       fitter.addObservedPoint(4.05779662, 3439750.0);
       fitter.addObservedPoint(4.0636168,  2877648.0);
       fitter.addObservedPoint(4.06943698, 2175960.0);
       fitter.addObservedPoint(4.07525716, 1447024.0);
       fitter.addObservedPoint(4.08237071, 717104.0);
       fitter.addObservedPoint(4.08366408, 620014.0);
       double[] parameters = fitter.fit();
     
    Since:
    2.2
    • Constructor Detail

      • GaussianFitter

        public GaussianFitter​(DifferentiableMultivariateVectorOptimizer optimizer)
        Deprecated.
        Constructs an instance using the specified optimizer.
        Parameters:
        optimizer - Optimizer to use for the fitting.
    • Method Detail

      • fit

        public double[] fit​(double[] initialGuess)
        Deprecated.
        Fits a Gaussian function to the observed points.
        Parameters:
        initialGuess - First guess values in the following order:
        • Norm
        • Mean
        • Sigma
        Returns:
        the parameters of the Gaussian function that best fits the observed points (in the same order as above).
        Since:
        3.0
      • fit

        public double[] fit()
        Deprecated.
        Fits a Gaussian function to the observed points.
        Returns:
        the parameters of the Gaussian function that best fits the observed points (in the same order as above).