Hi, is there a python method (or a kind of package/module/tool) to store the "swig" trained classifiers instead? I've tried with the h5save and pickling it but nothing... :(
Thank you Roberto On 7 January 2012 03:30, Yaroslav Halchenko <deb...@onerussian.com> wrote: > unfortunately only some. E.g. we have not implemented yet storing of > classifiers which are interfaced into Python via swig'ed backends, such > as SVMs. Otherwise, classifiers, as other structures (datasets, > mappers, etc) should be storable in mvpa2 the same way as datasets using > h5save, h5load functions. Here is the corresponding unittest: > > https://github.com/PyMVPA/PyMVPA/blob/HEAD/mvpa2/tests/test_hdf5_clf.py#L78 > > On Fri, 06 Jan 2012, Tyson Aflalo wrote: > > > Is there a method to save trained classifiers and other non-"dataset" > > datatypes? � > > -- > =------------------------------------------------------------------= > Keep in touch www.onerussian.com > Yaroslav Halchenko www.ohloh.net/accounts/yarikoptic > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > Pkg-ExpPsy-PyMVPA@lists.alioth.debian.org > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
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