org.apache.commons.math3.optimization.fitting

## Class GaussianFitter.ParameterGuesser

- java.lang.Object
- - org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser

- Enclosing class:
    GaussianFitter

      public static class GaussianFitter.ParameterGuesser
      extends Object

  Guesses the parameters `norm`, `mean`, and `sigma` of a `Gaussian.Parametric` based on the specified observed points.

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `GaussianFitter.ParameterGuesser(WeightedObservedPoint[] observations)` Constructs instance with the specified observed points.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `double[]` | `guess()` Gets an estimation of the parameters.

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

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

- - ### Constructor Detail

    - #### GaussianFitter.ParameterGuesser

          public GaussianFitter.ParameterGuesser(WeightedObservedPoint[] observations)

      Constructs instance with the specified observed points.
      Parameters:
        `observations` - Observed points from which to guess the parameters of the Gaussian.
      Throws:
        `NullArgumentException` - if `observations` is `null`.
        `NumberIsTooSmallException` - if there are less than 3 observations.

  - ### Method Detail

    - #### guess

          public double[] guess()

      Gets an estimation of the parameters.
      Returns:
        the guessed parameters, in the following order:
        - Normalization factor
        - Mean
        - Standard deviation

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