On 10/18/2012 09:10 PM, Martin Fergie wrote: > Hi Didier, > > I have found that the normal GMM learnt using EM is fine: > > http://scikit-learn.org/stable/modules/mixture.html#gmm-classifier > > It's the variational and Dirichlet versions that are incorrect! > Yes, I think this is the case.
I am not aware of any core-devs using GMM much but it should be good. Also, GMMHMM seems to work fine, at least I don't know about any problems. Unfortunately, there is only one contributor for HMMs, Shiqiao Du, which means that this module is not as stress-tested as the rest of sklearn. Cheers, Andy ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_sfd2d_oct _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
