beanmachine Add diagnostic visualization tools

This commit adds the feature to run diagnostic tools using ArviZ and Bokeh in a Jupyter environment.

Added a tools sub-package in the diagnostics package. This new sub-package adds the following files, each for a specific tool that runs ArviZ model diagnostics.
- autocorrelation
- effective_sample_size
- marginal1d
- marginal2d
- trace
The listed tools above also have two corresponding files, one for types and the other for methods used in the tool.

Resolves #1490

Please describe your motivation for the changes. Provide link to any related issues.

Outline the proposed changes and alternatives considered.

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[ ] Docs change / refactoring / dependency upgrade
[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)

[ ] My code follows the code style of this project.
[ ] My change requires a change to the documentation.
[ ] I have updated the documentation accordingly.
[ ] I have read the CONTRIBUTING document.
[ ] I have added tests to cover my changes.
[ ] All new and existing tests passed.
[ ] The title of my pull request is a short description of the requested changes.

Aug 29 '22 17:08 ndmlny-qs

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Aug 29 '22 17:08 review-notebook-app[bot]

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