Uses of Class
org.apache.commons.math4.legacy.fitting.WeightedObservedPoint

Packages that use WeightedObservedPoint

Package	Description
org.apache.commons.math4.legacy.fitting	Classes to perform curve fitting.

Uses of WeightedObservedPoint in org.apache.commons.math4.legacy.fitting

Methods in org.apache.commons.math4.legacy.fitting that return types with arguments of type WeightedObservedPoint

Modifier and Type	Method	Description
protected List<WeightedObservedPoint>	SimpleCurveFitter.ParameterGuesser.sortObservations(Collection<WeightedObservedPoint> unsorted)	Sort the observations.
List<WeightedObservedPoint>	WeightedObservedPoints.toList()	Gets a snapshot of the observed points.

Methods in org.apache.commons.math4.legacy.fitting with parameters of type WeightedObservedPoint

Modifier and Type	Method	Description
void	WeightedObservedPoints.add(WeightedObservedPoint observed)	Adds a point to the sample.
protected int	SimpleCurveFitter.ParameterGuesser.findMaxY(WeightedObservedPoint[] points)	Finds index of point in specified points with the largest Y.
protected double	SimpleCurveFitter.ParameterGuesser.interpolateXAtY(WeightedObservedPoint[] points, int startIdx, int idxStep, double y)	Interpolates using the specified points to determine X at the specified Y.

Method parameters in org.apache.commons.math4.legacy.fitting with type arguments of type WeightedObservedPoint

Modifier and Type	Method	Description
double[]	AbstractCurveFitter.fit(Collection<WeightedObservedPoint> points)	Fits a curve.
protected abstract LeastSquaresProblem	AbstractCurveFitter.getProblem(Collection<WeightedObservedPoint> points)	Creates a least squares problem corresponding to the appropriate curve.
protected LeastSquaresProblem	SimpleCurveFitter.getProblem(Collection<WeightedObservedPoint> observations)	Creates a least squares problem corresponding to the appropriate curve.
double[]	GaussianCurveFitter.ParameterGuesser.guess(Collection<WeightedObservedPoint> observations)	Computes an estimation of the parameters.
double[]	HarmonicCurveFitter.ParameterGuesser.guess(Collection<WeightedObservedPoint> observations)	Computes an estimation of the parameters.
abstract double[]	SimpleCurveFitter.ParameterGuesser.guess(Collection<WeightedObservedPoint> obs)	Computes an estimation of the parameters.
protected List<WeightedObservedPoint>	SimpleCurveFitter.ParameterGuesser.sortObservations(Collection<WeightedObservedPoint> unsorted)	Sort the observations.

Constructor parameters in org.apache.commons.math4.legacy.fitting with type arguments of type WeightedObservedPoint

Constructor	Description
TheoreticalValuesFunction(ParametricUnivariateFunction f, Collection<WeightedObservedPoint> observations)