public class SimpleCurveFitter extends AbstractCurveFitter
function
.AbstractCurveFitter.TheoreticalValuesFunction
Modifier and Type | Method and Description |
---|---|
static SimpleCurveFitter |
create(ParametricUnivariateFunction f,
double[] start)
Creates a curve fitter.
|
protected LeastSquaresProblem |
getProblem(Collection<WeightedObservedPoint> observations)
Creates a least squares problem corresponding to the appropriate curve.
|
SimpleCurveFitter |
withMaxIterations(int newMaxIter)
Configure the maximum number of iterations.
|
SimpleCurveFitter |
withStartPoint(double[] newStart)
Configure the start point (initial guess).
|
fit, getOptimizer
public static SimpleCurveFitter create(ParametricUnivariateFunction f, double[] start)
Integer.MAX_VALUE
.f
- Function to fit.start
- Initial guess for the parameters. Cannot be null
.
Its length must be consistent with the number of parameters of the
function to fit.withStartPoint(double[])
,
withMaxIterations(int)
public SimpleCurveFitter withStartPoint(double[] newStart)
newStart
- new start point (initial guess)public SimpleCurveFitter withMaxIterations(int newMaxIter)
newMaxIter
- maximum number of iterationsprotected LeastSquaresProblem getProblem(Collection<WeightedObservedPoint> observations)
getProblem
in class AbstractCurveFitter
observations
- Sample points.points
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