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 Regards, Lars -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
