ODE: api introduction

File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/ode_models/ODE_API_introduction.ipynb
Reviewers:

The sections below may still be pending. If so, the issue is still available, it simply doesn't
have specific guidance yet. Please refer to this overview of updates

Known changes needed

Changes listed in this section should all be done at some point in order to get this
notebook to a "Best Practices" state. However, these are probably not enough!
Make sure to thoroughly review the notebook and search for other updates.

General updates

ArviZ related

• Uses old az.from_pymc3, and was not yet adapted to pm.sample() returning InferenceData already

Changes for discussion

Changes listed in this section are up for discussion, these are ideas on how to improve
the notebook but may not have a clear implementation, or fix some know issue only partially.

General updates

ArviZ related

Notes

Exotic dependencies

Computing requirements

Open examples/ode_models/ODE_API_introduction.ipynb and review the notebook-updates overview first. Find the use of az.from_pymc3 and the surrounding pm.sample() workflow, then check the notebook for other outdated usage. Done means the notebook follows the current InferenceData workflow and no further update gaps remain.