|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Objectorg.apache.commons.math.optimization.fitting.GaussianFitter
public class GaussianFitter
Fits points to a Gaussian function (that is, a GaussianFunction
).
Usage example:
GaussianFitter fitter = new GaussianFitter( new LevenbergMarquardtOptimizer()); fitter.addObservedPoint(4.0254623, 531026.0); fitter.addObservedPoint(4.03128248, 984167.0); fitter.addObservedPoint(4.03839603, 1887233.0); fitter.addObservedPoint(4.04421621, 2687152.0); fitter.addObservedPoint(4.05132976, 3461228.0); fitter.addObservedPoint(4.05326982, 3580526.0); fitter.addObservedPoint(4.05779662, 3439750.0); fitter.addObservedPoint(4.0636168, 2877648.0); fitter.addObservedPoint(4.06943698, 2175960.0); fitter.addObservedPoint(4.07525716, 1447024.0); fitter.addObservedPoint(4.08237071, 717104.0); fitter.addObservedPoint(4.08366408, 620014.0); GaussianFunction fitFunction = fitter.fit();
ParametricGaussianFunction
Field Summary | |
---|---|
private CurveFitter |
fitter
Fitter used for fitting. |
Constructor Summary | |
---|---|
GaussianFitter(DifferentiableMultivariateVectorialOptimizer optimizer)
Constructs an instance using the specified optimizer. |
Method Summary | |
---|---|
void |
addObservedPoint(double x,
double y)
Adds point ( x , y ) to list of observed points
with a weight of 1.0. |
void |
addObservedPoint(double weight,
double x,
double y)
Adds point ( x , y ) to list of observed points
with a weight of weight . |
protected GaussianParametersGuesser |
createParametersGuesser(WeightedObservedPoint[] observations)
Factory method to create a GaussianParametersGuesser
instance initialized with the specified observations. |
GaussianFunction |
fit()
Fits Gaussian function to the observed points. |
Methods inherited from class java.lang.Object |
---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
---|
private final CurveFitter fitter
Constructor Detail |
---|
public GaussianFitter(DifferentiableMultivariateVectorialOptimizer optimizer)
optimizer
- optimizer to use for the fittingMethod Detail |
---|
public void addObservedPoint(double x, double y)
x
, y
) to list of observed points
with a weight of 1.0.
x
- x point valuey
- y point valuepublic void addObservedPoint(double weight, double x, double y)
x
, y
) to list of observed points
with a weight of weight
.
weight
- weight assigned to pointx
- x point valuey
- y point valuepublic GaussianFunction fit() throws FunctionEvaluationException, OptimizationException
FunctionEvaluationException
- if CurveFitter.fit
throws it
OptimizationException
- if CurveFitter.fit
throws it
java.lang.IllegalArgumentException
- if CurveFitter.fit
throws itCurveFitter
protected GaussianParametersGuesser createParametersGuesser(WeightedObservedPoint[] observations)
GaussianParametersGuesser
instance initialized with the specified observations.
observations
- points used to initialize the created
GaussianParametersGuesser
instance
GaussianParametersGuesser
instance
|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |