SVGP example update - #48
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The blanket /docs/source/ rule also hid legitimate new source files; docs/.gitignore already lists the specific generated paths.
Gallery tag chips now link here via {ref} instead of dead markdown
anchors pointing at a file that never existed.
Citations render as numbered footnotes that link down to a reference list on the same page; anchors and numbering are page-local, so there is no central bibliography page and no cross-page label collisions.
A lean quick-start: fit an exact GP to the motorcycle dataset with pg.fit/pg.predict, then a VFE sparse approximation. Replaces the benchmarking-oriented demo notebook.
Notebooks are hand-formatted for teaching; drop jupyter from ruff-format and ignore I001/E402 on *.ipynb.
An all-untracked category emitted a bare, cardless grid directive that sphinx-codeautolink flagged as a build warning.
Replace the legacy pymc_experimental "SSGP" dump with a from-scratch SVGP walkthrough (uncollapsed ELBO, minibatching, whitening, trainable inducing points) on a 1D synthetic and the California housing dataset. Move it under notebooks/approximations/ and register the Approximations gallery category after Introduction. Add the Hensman and Pace & Barry references and gitignore the runtime data caches.
The SVGP notebook no longer promises VFF or non-Gaussian likelihoods, so point to "SVGP and minibatch training at scale" instead.
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Adds a new example notebook focusing on how to use SVGP
📚 Documentation preview 📚: https://ptgp--48.org.readthedocs.build/en/48/