scikit-learn deprecated GMM.eval() replacement
Eval(X)
Parameters : 
X: array_like, shape (n_samples, n_features) : List of n_features-dimensional data points. Each row corresponds to a single data point.
Returns : 
logprob: array_like, shape (n_samples,) : Log probabilities of each data point in X
responsibilities: array_like, shape (n_samples, n_components) :
Posterior probabilities of each mixture component for each observation
Clearly , there is no workaround in the newer definition , it is the same and quite concise definition
The eval() method under sklearn.mixture.GMM from the scikit-learn version 0.11 is deprecated. Is there a similar method or a workaround in the newest version 0.19.2 ?