org.ddogleg.fitting.modelset

Class MeanModelFitter

java.lang.Object

org.ddogleg.fitting.modelset.MeanModelFitter

All Implemented Interfaces:

ModelFitter<double[],java.lang.Double>, ModelGenerator<double[],java.lang.Double>

public class MeanModelFitter
extends java.lang.Object
implements ModelFitter<double[],java.lang.Double>, ModelGenerator<double[],java.lang.Double>

Computes the mean of a set of points.

Constructor Summary

Constructors

Constructor and Description
MeanModelFitter()

Method Summary

Modifier and Type	Method and Description
boolean	fitModel(java.util.List<java.lang.Double> dataSet, double[] initParam, double[] foundParam) Fits a model to a set of points.
boolean	generate(java.util.List<java.lang.Double> dataSet, double[] param) Creates a list of hypotheses from the set of sample points.
int	getMinimumPoints() The minimum number of points required to fit a data set

Methods inherited from class java.lang.Object

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

Constructor Detail

MeanModelFitter

public MeanModelFitter()

Method Detail

generate

public boolean generate(java.util.List<java.lang.Double> dataSet,
                        double[] param)

Description copied from interface: ModelGenerator

Creates a list of hypotheses from the set of sample points.

Specified by:

generate in interface ModelGenerator<double[],java.lang.Double>

Parameters:

dataSet - Set of sample points. Typically the minimum number possible.

param - Storage for generated model.

Returns:

true if a model was generated, otherwise false is none were

fitModel

public boolean fitModel(java.util.List<java.lang.Double> dataSet,
                        double[] initParam,
                        double[] foundParam)

Description copied from interface: ModelFitter

Fits a model to a set of points. Note that initial and found can be the same instance.

Specified by:

fitModel in interface ModelFitter<double[],java.lang.Double>

Parameters:

dataSet - Set of points the model is being fit to.

initParam - Initial hypothesis

foundParam - The found model. Can be the same instance as initial.

Returns:

true if a model was found and false if one was not.

getMinimumPoints

public int getMinimumPoints()

Description copied from interface: ModelGenerator

The minimum number of points required to fit a data set

Specified by:

getMinimumPoints in interface ModelGenerator<double[],java.lang.Double>

Returns:

Number of points.