Fix Minibatch alignment in Bayesian Neural Network example + Pre-commit hooks

[wiwa]

Fix Minibatch Alignment in Bayesian Neural Network Example + Pre-commit hooks

• Notebook follows style guide https://docs.pymc.io/en/latest/contributing/jupyter_style.html
• PR description contains a link to the relevant issue:
  • Fixes issue Bug in "Variational Inference: Bayesian Neural Networks" notebook #654
• Check the notebook is not excluded from any pre-commit check: https://github.com/pymc-devs/pymc-examples/blob/main/.pre-commit-config.yaml

Issue

Fixes #654.

Changes Made

• Ran pre-commit run --all-files on Fix Minibatch alignment in Bayesian Neural Network example #689

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[fonnesbeck]

Line #21.            ann_input = pm.Data("ann_input", minibatch_x, mutable=True, dims=("obs_id", "train_cols"))

mutability is True by default

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[wiwa]

Changing this would also change a bunch of stuff in the diff -- we'd have to re-execute the notebook, otherwise "Check cells were executed sequentially" would fail during pre-commit. Since this PR is just running the pre-commit hook for someone else's (seemingly-abandoned) PR, I'd prefer to just leave it if it's fine.

[fonnesbeck]

Thanks for this. You can remove the mutable argument or leave it -- fine with it either way.