Hello.
Le lun. 24 janv. 2022 à 08:21, qiqi tang a écrit :
>
> *HI Gilles Sadowski,*
>
>
>
> @Overridepublic double[] fit(Collection points) {
> final double[] p = super.fit(points);
> return new double[] {
> constrainedM.value(p[0]),
>
*HI Gilles Sadowski,*
@Overridepublic double[] fit(Collection points) {
final double[] p = super.fit(points);
return new double[] {
constrainedM.value(p[0]),
constrainedK.value(p[1]),
p[2]
};
}
This method Just maps the end
Hello.
Le jeu. 20 janv. 2022 à 15:06, qiqi tang a écrit :
>
> Dear Sir/Madam,
>I recently used the CurveFitter tool inside the commons package and
> I found a problem that I couldn't constrain the relevant parameters.
A possible approach is to transform the relevant parameters so
that
Dear Sir/Madam,
I recently used the CurveFitter tool inside the commons package and
I found a problem that I couldn't constrain the relevant parameters.
The specific relevant codes are as follows:
public class MyFuncFitter extends AbstractCurveFitter {
@Override
protected
