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Adding an implementation of the EM Algorithm to Turing for fitting latent variable models or mixture models #1340

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00krishna opened this issue Jun 29, 2020 · 1 comment
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@00krishna
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Hello, after talking to @trappmartin on Slack, he suggested I open an issue. The request is to add an implementation of the EM (Expectation-Maximization) algorithm to Turing. The EM Algorithm is used to estimate latent variable models, mixture models, and other statistical models.

The GaussianMixtures package does seem to have a nice implementation of the EM algorithm. Perhaps the Turing developers could just create a wrapper around that package to keep the interface to the EM algorithm consistent with the Turing API.

@yebai
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yebai commented Jul 5, 2022

Probably better to create a new EM package that supports Turing.

@yebai yebai closed this as completed Jul 5, 2022
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