Hi Joris 2008/10/21 Joris De Ridder <[EMAIL PROTECTED]>: > I'm interested in developing some general-use Python/Numpy code for > linear model fitting and comparison. The fitting is easy enough with > Numpy, but the automated comparison of the submodels to identify which > model describes best the data, requires some work. Before I embark on > this, I would like to find out if anyone actually already wrote > something along these lines, in order not to reinvent the wheel.
I would guess that this is part of Jonathan Taylor's "models" package, but I may be wrong. It is available at the Neuroimaging in Python homepage: http://neuroimaging.scipy.org/ You may also want to look at the optimisation scikit and the RANSAC cookbook example. Regards Stéfan _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
