Am 18.01.2013 17:25, schrieb Lars Buitinck:
> 2013/1/18 Mathieu Blondel <math...@mblondel.org>:
>> Modules I would consider for removal are gaussian processes,
>> semi-supervised learning and HMMs. We could move them to a
>> scikit-learn-bleeding-edge repository.
> +1 for getting rid of the HMMs; I never liked their API, and the
> MultinomialHMM in particular is quite useless (as the docs admit).
I'm also +1 on removing the HMMs as they do have a completely different API
and try to deal with sequences - I'd say sequences are out of the scope 
of sklearn.

I don't see the problem with semi-supervised algorithm actually. The API 
is pretty straight-forward
and there are well-established algorithms like self-taught learning.

For GP: Someone volunteered on the ML recently to take a shot at them.
Let's wait and see, I would say.

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