Package org.ddogleg.fitting.modelset.distance

Interface StatisticalFit<Model,Point>

All Known Implementing Classes:
FitByMeanStatistics, FitByMedianStatistics
public interface StatisticalFit<Model,Point>
Interface for computing error metrics and pruning features.

  • Method Summary

    Modifier and Type
    Method
    Description
    void
    computeStatistics()
    Computes the statistic error of the model to the data points.
    double
    getErrorMetric()
    Returns the computed statistical error.
    void
    init(DistanceFromModel<Model,Point> modelDistance, ArrayDeque<PointIndex<Point>> allPoints)
    This is called once to provide access to internal data structures of the owner.
    void
    prune()
    Prunes points based on the error and the computed statistics.

  • Method Details

    • init

      void init(DistanceFromModel<Model,Point> modelDistance, ArrayDeque<PointIndex<Point>> allPoints)
      This is called once to provide access to internal data structures of the owner.
      Parameters:
      modelDistance - Computes the error between a point and the model
      allPoints - Contains all the points which are currently considered part of the model.

    • getErrorMetric

      double getErrorMetric()
      Returns the computed statistical error.
      Returns:
      The error.

    • computeStatistics

      void computeStatistics()
      Computes the statistic error of the model to the data points.

    • prune

      void prune()
      Prunes points based on the error and the computed statistics.