Hello. Le sam. 30 juil. 2022 à 10:58, Yaqiang Wang <yaqiang.w...@gmail.com> a écrit : > > I know implementing the ParametricUnivariateFunction > <https://commons.apache.org/proper/commons-math/apidocs/org/apache/commons/math4/analysis/ParametricUnivariateFunction.html> > interface > and overriding value and gradient methods can fit the custom curve > function. But the gradient array has to be calculated for each special > function. > I want to know is it possible to calculate gradient array without > the information of the function formula,
I don't follow; what kind of expression do you want to minimize? A minimal example would be useful to understand what the issue is. > just like SciPy curve_fit function > ( > https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.curve_fit.html)? > I have tried it in the MeteoInfo project using getJacobianFunction which > calculates gradient array using UnivariateDifferentiableFunction and > DerivativeStructure. > And Jython was used to mimic the curve_fit function ( > https://github.com/meteoinfo/MeteoInfo/blob/master/meteoinfo-lab/pylib/mipylib/numeric/optimize/minpack.py). > > > But I can not get the same result as SciPy curve_fit function. I nee your > help, Thanks! What you want to achieve is not clear to me. Sorry, Gilles --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@commons.apache.org For additional commands, e-mail: user-h...@commons.apache.org
