I recently updated from pymc3 to pymc v5. I’m also using arviz version 0.17.1. I have a model with a large number of parameters and due to memory considerations, I’m trying to stick with MultiTrace instead of InferenceData by using trace = pm.sample(return_inferencedata=False). In previous versions …

Workarounds for `arviz` no longer supporting `MultiTrace`?

aloctavodia January 11, 2025, 11:42am 2

There is a to_inference_data function in PyMC. Any reason do you want to stick to MultiTrace data? Using InferenceData has been the recomended way even before pymc 5.x

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Workarounds for `arviz` no longer supporting `MultiTrace`?

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