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by andredieb 4895 days ago
This is awesome.

Not yet an organization here, but I've used scikit-learn for my internship project and thesis.

Something I implemented during that work (barely working) was the EM algorithm. I was wondering if EM is of any interest of the library.

1 comments

Expectation Maximization is a very generic inference scheme that has many declination depending on the structure of the models it is applied to. For instance there we already have Gaussian Mixture Models that can be fitted using EM in sklearn. There is also an implementation of k-means which can also be interpreted as an EM algorithm.