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* updated the Hogg notebook * attempted to clarify the kwargs in sample() docstring describing how to pass kwargs to the steppers I believe this fixes #3197 I also noted this need for more clarity in my updated notebook in this PR `pymc3/docs/source/notebooks/GLM-robust-with-outlier-detection.ipynb` * Remove deprecated stuff (#3906) * remove file which is not used * remove deprecated code * repair tests and notebooks that used deprecated API * mention #3906 Co-authored-by: Michael Osthege <[email protected]> * add deprecation warnings for old backends (#3902) * add deprecation warnings for old backends * mention backend deprecation #3902 * fix typo Co-authored-by: Colin <[email protected]> Co-authored-by: Michael Osthege <[email protected]> Co-authored-by: Colin <[email protected]> * minor formatting to notebook and rework of docstring for sample function notebook: dropped all headings one level lower to comply with TOC logic, and very minor language edits sampling.py: clarifired language around single vs compoundstep * updated the Hogg notebook * attempted to clarify the kwargs in sample() docstring describing how to pass kwargs to the steppers I believe this fixes #3197 I also noted this need for more clarity in my updated notebook in this PR `pymc3/docs/source/notebooks/GLM-robust-with-outlier-detection.ipynb` * minor formatting to notebook and rework of docstring for sample function notebook: dropped all headings one level lower to comply with TOC logic, and very minor language edits sampling.py: clarifired language around single vs compoundstep * updates folowing AlexAndorra review: upgrade to arviz=0.7 set prior params to slightly simpler (more justifiable) values, and testvals to simplier defaults explanatory clarifications formatting, typos, * removed the note re step_kwargs, since this PR updates the appropriate docstring * a cell had become markdown, silly. reset it to code and rerun * minor code reformatting via black_nbconvert, final check and re-run * rerun notebook purely as a lazy but safe way to trigger new CI
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