10X faster predict by replacing DataFrame with dict

[orenmatar]

Profiling the predict code yielded this result:

Evidently about 90% of the predict time is spent on either the init of a DataFrame or its getitem method, both are notoriously slow.
A very simple change from dataframe to dict in sample_model and sample_model_vectorized has no risk and implications beyond sample_posterior_predictive since the df is converted to a dict there anyway.
Profiling after the change gives:

and in runtime it was reduced from ~300ml to ~38ml on a local test

[nicolaerosia]

@tcuongd can we please merge this and release a new version with wheels for python 3.11 as well?

[orenmatar]

@tcuongd any updates on this? It should be really easy to integrate and yields a big runtime improvement

[tcuongd]

Wow great find, thanks heaps! Yeah I think changing the return type for these internal functions is fine, we just need to make it clear which functions are affected in the release notes.

[tcuongd]

For some reason CI didn't kick off, I'll take a look later

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[tcuongd]

@orenmatar Do you mind just signing the CLA? Thanks!

[orenmatar]

@tcuongd Signed it just now

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