Question: density estimation on weighted data

Issue #41 new
Harald De bondt created an issue

Is it possible to do supervised density estimation in bnpy? I have a dataset where each sample of the data has a certain likelihood. So far I have been using sklearns GMM's and extended the EM by adding a layer of the supervised likelihood in the E-step. But I would like to use a more comprehensive library, including DP GMM's.

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Comments (1)

  1. Mike Hughes repo owner

    Thanks for your interest! Unfortunately, we only support unsupervised models currently. I'd love to have some supervised functionality in the future, but won't get around to it for at least a few months.

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