machine learning - Using Gaussian mixture model for labelled and unlabelled data in scikit learn? -


i have data out of of labelled , of not labelled. need apply expectation maximization algorithm. possible apply in sci-kit learn? example of labelled + unlabelled instances helpful.

not really. scikit-learn provides more black-box algorithms. gmms not meant supervised models. writing em should pretty straight-forward, though. try hack sklearn implementation, writing own might simpler in case.


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