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 and 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, java.util.LinkedList<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 Detail

init

void init(DistanceFromModel<Model,Point> modelDistance,
          java.util.LinkedList<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.