Sklearn-GMM on large datasets
I think you can set the init_para to empty string '' when you create the GMM object, then you might be able to train the whole data set.
I have a large data-set (I can't fit entire data on memory). I want to fit a GMM on this data set. 
Can I use GMM.fit() (sklearn.mixture.GMM) repeatedly on mini batch of data ??