PolynomialCurveFitter (Apache Commons Math 3.6.1 API)

org.apache.commons.math3.fitting

## Class PolynomialCurveFitter

- java.lang.Object
- - org.apache.commons.math3.fitting.AbstractCurveFitter
  - - org.apache.commons.math3.fitting.PolynomialCurveFitter

-     public class PolynomialCurveFitter
      extends AbstractCurveFitter

  Fits points to a `polynomial` function.
  The size of the `initial guess` array defines the degree of the polynomial to be fitted. They must be sorted in increasing order of the polynomial's degree. The optimal values of the coefficients will be returned in the same order.
  Since:
    3.3

- - ### Nested Class Summary

    - ### Nested classes/interfaces inherited from class org.apache.commons.math3.fitting.AbstractCurveFitter

      `AbstractCurveFitter.TheoreticalValuesFunction`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `static PolynomialCurveFitter` | `create(int degree)` Creates a default curve fitter.
    `protected LeastSquaresProblem` | `getProblem(Collection<WeightedObservedPoint> observations)` Creates a least squares problem corresponding to the appropriate curve.
    `PolynomialCurveFitter` | `withMaxIterations(int newMaxIter)` Configure the maximum number of iterations.
    `PolynomialCurveFitter` | `withStartPoint(double[] newStart)` Configure the start point (initial guess).

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

      `fit, getOptimizer`

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

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

- - ### Method Detail

    - #### create

          public static PolynomialCurveFitter create(int degree)

      Creates a default curve fitter. Zero will be used as initial guess for the coefficients, and the maximum number of iterations of the optimization algorithm is set to `Integer.MAX_VALUE`.
      Parameters:
        `degree` - Degree of the polynomial to be fitted.
      Returns:
        a curve fitter.
      See Also:
        `withStartPoint(double[])`, `withMaxIterations(int)`

    - #### withStartPoint

          public PolynomialCurveFitter withStartPoint(double[] newStart)

      Configure the start point (initial guess).
      Parameters:
        `newStart` - new start point (initial guess)
      Returns:
        a new instance.

    - #### withMaxIterations

          public PolynomialCurveFitter withMaxIterations(int newMaxIter)

      Configure the maximum number of iterations.
      Parameters:
        `newMaxIter` - maximum number of iterations
      Returns:
        a new instance.

    - #### getProblem

          protected LeastSquaresProblem getProblem(Collection<WeightedObservedPoint> observations)

      Creates a least squares problem corresponding to the appropriate curve.
      Specified by:
        `getProblem` in class `AbstractCurveFitter`
      Parameters:
        `observations` - Sample points.
      Returns:
        the least squares problem to use for fitting the curve to the given `points`.

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