I want to run this example about 1D Gaussian Mixture Example: But I have this error all the time:
from sklearn.mixture import GMM
ImportError: cannot import name 'GMM'
I tried to replace it by from sklearn.mixture import GaussianMixture but the code does not work, they do not have the same functionalities.
Thank you in advance.
2 Answers
sklearn Gaussian Mixture implementation
Old (outdated, not supported in newer sklearn versions):
from sklearn.mixture import GMM
model = GMM(n_components=3,covariance_type='full')
New and supported
from sklearn import mixture
model = mixture.GaussianMixture(n_components=3, covariance_type='full')
n_components default value is 1, choose what you want. That's number of mixture components.
The newer versions of scikit-learn don't have that module. From looking at the versions it was deprecated in v 0.18 and removed in v 0.20. Here is the link to the OLD 0.18 module, which is the first instance i could find that shows a deprecation warning. if you want you can install an older version
pip install -Iv scikit-learn==0.15, or if you want to use the newer version, adapt the parameters of your GaussianMixture to reflect their new names (e.g. in GaussianMixture, max_iter is the number of iterations, instead of n_iter).
