Hello everyone

When I'm using GMM in the mixture.GMM module, everything works like a charm.

I train the model using:

gmm=mixture.GMM(n_components=10, covariance_type='full')

I then fit

gmm.fit(data)

And then I take samples

gmm.sample(n_samples=10)

However, when I use DPGMM or VBGMM I get the response:

'VBGMM/DPGMM' object has no attribute 'covars_'

Any idea why is this happening?

Thanks



-- 
Leon Palafox, M.Sc
PhD Candidate
Iba Laboratory
+81-3-5841-8436
University of Tokyo
Tokyo, Japan.
------------------------------------------------------------------------------
Keep yourself connected to Go Parallel: 
VERIFY Test and improve your parallel project with help from experts 
and peers. http://goparallel.sourceforge.net
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to