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@YoelPH YoelPH commented Aug 25, 2025

This version was used to produce all results in the mixture model paper.
There are some fixes that needed to be applied to prevent some errors popping up during training due to nan and infinity results.

YoelPH and others added 6 commits April 22, 2025 16:42
we can still encounter -inf. our actual method to prevent -inf in the complete likelihood is not sufficient.
since The EM algorithm fixes the responsabilities in a first step and then optimizes the mixture parameters, we can get zeros in the mixture coefficients while the responsabilities were not set to 0. To prevent the -inf in the log likelihood I manually set -inf entries to 0.
This once again is not an ideal solution but a workaround to train the model for the time being
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