Thanks a lot Luc for your help ! I'm going to try this and come back to you to tell you if it works. Eric
Le 17 avr. 2013 à 10:24, Luc Maisonobe a écrit : > Le 17/04/2013 10:08, Eric HENON a écrit : >> Hello, >> >> I'm trying to do a non linear >> regression using the LevenbergMarquardtOptimizer. >> >> I have copied the proposed Demo code at: >> http://commons.apache.org/proper/commons-math/userguide/optimization.html >> >> and I get the following error at the java >> compilation time: >> >> "The method optimize(OptimizationData..) in the type >> AbstractLeastSquaresOptimizer is not >> applicable for the arguments (int, QuadraticProblem, double[], double[], >> double[])" >> >> It seems that the optimize method employed in the Demo code is not >> the appropriate one. > > You are right. This code correspond to the former API in the > optimization package, which is still available but deprecated now. The > new API is in the optim package and it is the one you use, which expect > OptimizationData parameters. > > You can try to wrap the arguments in the various implementations of the > OptimizationData interface according to their meaning. > > So you should end up with something like; > > lm.optimize(new MaxEval(maxEval), > new ModelFunction(function), > new ModelFunctionJacobian(jacobian), > new Target(target), > new Weight(weight), > new InitialGuess(initial)); > > hope this helps. > > Luc > >> >> I tried to change the imports, but that does not work. >> >> Any help will be appreciated. >> Thanks. >> Eric >> >> **** >> ... >> LevenbergMarquardtOptimizer optimizer = new LevenbergMarquardtOptimizer(); >> ... >> PointVectorValuePair optimum = optimizer.optimize(100, problem, >> problem.calculateTarget(), weights, initialSolution); >> **** >> >> > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] > For additional commands, e-mail: [email protected] > Eric Henon Professeur Universite de Reims Champagne-Ardenne Institut de Chimie Moleculaire de Reims http://www.univ-reims.fr/ICMR CNRS UMR 6229 UFR des Sciences Exactes et Naturelles BP 1039 51687 Reims Cedex 2 (France) Tél./Fax : + 33 (0) 3 26 91 84 97 [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
