GaussianCurveFitter and
WeightedObservedPoints instead.@Deprecated public class GaussianFitter extends CurveFitter<Gaussian.Parametric>
Gaussian function.
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);
double[] parameters = fitter.fit();
| Modifier and Type | Class and Description |
|---|---|
static class |
GaussianFitter.ParameterGuesser
Deprecated.
Guesses the parameters
norm, mean, and sigma
of a Gaussian.Parametric
based on the specified observed points. |
| Constructor and Description |
|---|
GaussianFitter(MultivariateVectorOptimizer optimizer)
Deprecated.
Constructs an instance using the specified optimizer.
|
| Modifier and Type | Method and Description |
|---|---|
double[] |
fit()
Deprecated.
Fits a Gaussian function to the observed points.
|
double[] |
fit(double[] initialGuess)
Deprecated.
Fits a Gaussian function to the observed points.
|
addObservedPoint, addObservedPoint, addObservedPoint, clearObservations, fit, fit, getObservationspublic GaussianFitter(MultivariateVectorOptimizer optimizer)
optimizer - Optimizer to use for the fitting.public double[] fit(double[] initialGuess)
initialGuess - First guess values in the following order:
public double[] fit()
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