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Reduce the number of likelihood evaluations by caching values #46

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gmingas opened this issue Jul 29, 2020 · 1 comment
Open

Reduce the number of likelihood evaluations by caching values #46

gmingas opened this issue Jul 29, 2020 · 1 comment
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gmingas commented Jul 29, 2020

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@gmingas gmingas self-assigned this Jul 29, 2020
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gmingas commented Oct 1, 2020

It might be possible to make MLDA faster by avoiding running the likelihood twice in every iteration. At the moment PyMC3 calculates both the likelihood of the current sample and the previous sample in every iteration. You could save the previous likelihood and calculate only the new one although this might impact VR and AEM so some tweaking is needed.

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