On 14 January 2012 20:23, Olivier Grisel <[email protected]> wrote:
> 2012/1/14 Lars Buitinck <[email protected]>:
> > Dear all,
> >
> > I already mentioned this in an email earlier today, but in case not
> > everyone read that: the Python Natural Language Toolkit (NLTK) now has
> > a wrapper for scikit-learn classifiers in its bleeding-edge version. I
> > hope this will make scikit-learn easier to use for NLP people; it
> > mainly translates the easy-to-use, dict-based feature representation
> > of NLTK to scipy.sparse matrices and supports symbolic class labels
> > for arbitrary classifiers. The code can be seen at
> >
> > https://github.com/nltk/nltk/blob/master/nltk/classify/scikitlearn.py
>
> Good job Lars, I had not realized this you pushed it to the upstream nltk.
>
Wow, awesome ! Thanks !
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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