org.apache.commons.math3.fitting

## Class GaussianFitter

- java.lang.Object
- - org.apache.commons.math3.fitting.CurveFitter<Gaussian.Parametric>
  - - org.apache.commons.math3.fitting.GaussianFitter

-     public class GaussianFitter
      extends CurveFitter<Gaussian.Parametric>

  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
  Version:
    $Id: GaussianFitter.java 1416643 2012-12-03 19:37:14Z tn $

- - ### Nested Class Summary

    Nested Classes
    Modifier and Type | Class and Description
    --- | ---
    `static class` | `GaussianFitter.ParameterGuesser` Guesses the parameters `norm`, `mean`, and `sigma` of a `Gaussian.Parametric` based on the specified observed points.

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `GaussianFitter(MultivariateVectorOptimizer optimizer)` Constructs an instance using the specified optimizer.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `double[]` | `fit()` Fits a Gaussian function to the observed points.
    `double[]` | `fit(double[] initialGuess)` Fits a Gaussian function to the observed points.

    - ### Methods inherited from class org.apache.commons.math3.fitting.CurveFitter

      `addObservedPoint, addObservedPoint, addObservedPoint, clearObservations, fit, fit, getObservations`

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### GaussianFitter

          public GaussianFitter(MultivariateVectorOptimizer optimizer)

      Constructs an instance using the specified optimizer.
      Parameters:
        `optimizer` - Optimizer to use for the fitting.

  - ### Method Detail

    - #### fit

          public double[] fit(double[] initialGuess)

      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()

      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).

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