Hi, This is not possible yet, but it's an easy enhancement: https://github.com/openturns/openturns/pull/351/commits/f02be8ee706d636bb2a0b1b1edf9568cf7cc2889
What is your use-case exactly ? (ie how would you use the experiment variable) j > De: "Талех Агасиев" <[email protected]> > À: "users" <[email protected]> > Envoyé: Jeudi 27 Octobre 2016 21:47:56 > Objet: [ot-users] Python wrapper > Hi, > How can I use my own experiment implementation within ot.Experiment class? > In other words, I'd like to override the ExperimentImplementation methods from > Python. > Something like that: > import numpy as np > import openturns as ot > class MyDoeTechnique(ot.ExperimentImplementation): > def __init__(self): > super(MyDoeTechnique, self).__init__() > def generate(self): > return ot.NumericalSample(np.random.random((5, 2))) > experiment = ot.Experiment(ot.Axial(2, [1])) > experiment.generate() > experiment = ot.Experiment(MyDoeTechnique()) > experiment.generate() # Not yet implemented exception Is there some wrapper > class to pass extrenal code throw the SWIG ( like OpenTURNSPythonFunction for > NumericalMathFunction) ? > Thank you for helping out ! > Best regards, > Taleh > _______________________________________________ > OpenTURNS users mailing list > [email protected] > http://openturns.org/mailman/listinfo/users -- Julien Schueller Phimeca Engineering www.phimeca.com
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