Le 29 mars 2012 10:36, Andreas <[email protected]> a écrit : > Hi Mohit. > Generally all algorithms in sklearn assume that all features are continuous. > Does discrete in your case mean categorial ('0'=blue, '1'=red, '2'=green)? > Then you should probably > recode these features using a one-hot encoding as interpreting them as > continuous will be meaningless. > I am not sure in what state the functionality for this in sklearn is, maybe > someone else can comment on that.
There is a pull request here: https://github.com/scikit-learn/scikit-learn/pull/242 -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
