[pymvpa] Saving trained classifiers

[Roberto Guidotti]

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 <debian at 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
>
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