* bug for
On Jan 23, 2013 10:48 AM, "Ronnie Ghose" <ronnie.gh...@gmail.com> wrote:
> File a bugbor inadequate validation also?
> On Jan 23, 2013 10:34 AM, "Andreas Mueller" <amuel...@ais.uni-bonn.de>
> wrote:
>
>> Hi Philipp.
>> LinearSVC can not cope with multilabel problems.
>> It seems it is not doing enough input validation.
>> You have to use OneVsRestClassifier together with LinearSVC
>> to do that afaik.
>> Cheers,
>> Andy
>>
>> Am 23.01.2013 16:27, schrieb Philipp Singer:
>> > Hey guys!
>> >
>> > I am currently trying to do multilabel prediction using textual features
>> > (e.g., tfidf).
>> >
>> > My data consists of a different amount of labels for a sample. One can
>> > have just one label and one can have 10 labels.
>> >
>> > I now simply built a list of tuples for my y vector.
>> >
>> > So for example:
>> > (19, 8, 7, 5)
>> > (8, 22, 23, 6, 18, 3)
>> > (22,)
>> > ...
>> >
>> > I have decided as first step to use LinearSVC. When I train the
>> > classifier with about 10.000 samples all works fine and also the
>> > prediction output looks fine.
>> >
>> > But as soon as I use all my samples (~300.000) my python.exe crashes in
>> > Windows. So I tried it on my Linux server, and I get a segfault error.
>> >
>> > Does anyone know how this can happen? Am I probably doing something
>> wrong?
>> >
>> > I have some more questions regarding multilabel classification, but
>> > let's stick to this first ;)
>> >
>> > Many Regards,
>> > Philipp
>> >
>> >
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