Oliver, thanks for the link: I missed the info in the tutorial. We should think about adding a link to the tutorial at the top of the main documentation page. Vlad, Xinfan - thanks for stepping up to work on this! Jake
Olivier Grisel wrote: > 2011/9/30 Jacob VanderPlas <[email protected]>: > >> Hi all, >> I spent a half hour last night trying to understand the text feature >> extractors in sklearn.feature_extraction.text. I frankly got nowhere: >> it is woefully under-documented, both in doc-strings and the online >> documentation. Is there anybody who has a familiarity with these >> routines and would be willing to spend some time on the docs? That >> would be a huge contribution to the usability of scikit-learn. Thanks >> Jake >> > > I agree and I am very sorry for that. In the short term the best > source of documentation is the tutorial: > > http://scikit-learn.github.com/scikit-learn-tutorial/working_with_text_data.html > > It's still on my todo list to work on simplifying the current API and > documenting it correctly in the reference documentation. > > ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2dcopy2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
