Hi,<div><br></div><div>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... :(</div><div><br></div>
<div>Thank you</div><div>Roberto <br><br><div class="gmail_quote">On 7 January 2012 03:30, Yaroslav Halchenko <span dir="ltr"><<a href="mailto:debian@onerussian.com" target="_blank">debian@onerussian.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">unfortunately only some. E.g. we have not implemented yet storing of<br>
classifiers which are interfaced into Python via swig'ed backends, such<br>
as SVMs. Otherwise, classifiers, as other structures (datasets,<br>
mappers, etc) should be storable in mvpa2 the same way as datasets using<br>
h5save, h5load functions. Here is the corresponding unittest:<br>
<br>
<a href="https://github.com/PyMVPA/PyMVPA/blob/HEAD/mvpa2/tests/test_hdf5_clf.py#L78" target="_blank">https://github.com/PyMVPA/PyMVPA/blob/HEAD/mvpa2/tests/test_hdf5_clf.py#L78</a><br>
<div class="im"><br>
On Fri, 06 Jan 2012, Tyson Aflalo wrote:<br>
<br>
> Is there a method to save trained classifiers and other non-"dataset"<br>
</div>> datatypes? �<br>
<span class="HOEnZb"><font color="#888888"><br>
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