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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| 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 |
| Constructor Detail |
|---|
public GaussianFitter(DifferentiableMultivariateVectorialOptimizer optimizer)
optimizer - optimizer to use for the fitting| Method 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 value
public 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 value
public GaussianFunction fit()
throws FunctionEvaluationException,
OptimizationException
FunctionEvaluationException - if CurveFitter.fit throws it
OptimizationException - if CurveFitter.fit throws it
IllegalArgumentException - if CurveFitter.fit throws itCurveFitterprotected GaussianParametersGuesser createParametersGuesser(WeightedObservedPoint[] observations)
GaussianParametersGuesser
instance initialized with the specified observations.
observations - points used to initialize the created
GaussianParametersGuesser instance
GaussianParametersGuesser instance
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