Package org.ddogleg.fitting.modelset.distance

Class FitByMeanStatistics<Model,Point>

java.lang.Object

org.ddogleg.fitting.modelset.distance.FitByMeanStatistics<Model,Point>

All Implemented Interfaces:

StatisticalFit<Model,Point>

public class FitByMeanStatistics<Model,Point>
extends Object
implements StatisticalFit<Model,Point>

Computes the mean error and prunes points based on the number of standard deviations they are away.

Field Summary

Fields

Modifier and Type	Field	Description
protected ArrayDeque<PointIndex<Point>>	allPoints
protected DistanceFromModel<Model,Point>	modelError

Constructor Summary

Constructors

Constructor	Description
FitByMeanStatistics(double pruneThreshold)

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> modelError, 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.

Methods inherited from class java.lang.Object

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

Field Details

modelError

protected DistanceFromModel<Model,Point> modelError

allPoints

protected ArrayDeque<PointIndex<Point>> allPoints

Constructor Details

FitByMeanStatistics

public FitByMeanStatistics(double pruneThreshold)

Parameters:

pruneThreshold - Number of standard deviations away that points will be pruned.

Method Details

init

public void init(DistanceFromModel<Model,Point> modelError,
 ArrayDeque<PointIndex<Point>> allPoints)

Description copied from interface: StatisticalFit

This is called once to provide access to internal data structures of the owner.

Specified by:

init in interface StatisticalFit<Model,Point>

Parameters:

modelError - Computes the error between a point and the model

allPoints - Contains all the points which are currently considered part of the model.

computeStatistics

public void computeStatistics()

Description copied from interface: StatisticalFit

Computes the statistic error of the model to the data points.

Specified by:

computeStatistics in interface StatisticalFit<Model,Point>

prune

public void prune()

Description copied from interface: StatisticalFit

Prunes points based on the error and the computed statistics.

Specified by:

prune in interface StatisticalFit<Model,Point>

getErrorMetric

public double getErrorMetric()

Description copied from interface: StatisticalFit

Returns the computed statistical error.

Specified by:

getErrorMetric in interface StatisticalFit<Model,Point>

Returns:

The error.