Package org.apache.commons.math3.optimization.fitting

Class GaussianFitter

java.lang.Object
org.apache.commons.math3.optimization.fitting.CurveFitter<Gaussian.Parametric>
org.apache.commons.math3.optimization.fitting.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 Details

    • GaussianFitter

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

  • Method Details

    • 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).