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).
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fit, getOptimizerpublic 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 AbstractCurveFitterobservations - Sample points.points.Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.