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probabilistic-graphical-models
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The following pkgdown R library allows generating a doc site based on GitHub repo information (e.g. the README.md, developers etc). Wondering whether we can do something similar with Turing sub-modules, particularly build a page from the README.md file and release notes.
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Solution might be to just to refactor to follow these instructions more carefully: http://xtext.github.io/xtext-gradle-plugin/xtext-builder.html
note the different source organization, and extra configs
Documentation
The documentation at this point is in a very poor state at this point. We need to do considerable effort and I suggest that we adhere to NumPy style docstrings
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The documentation of some classes/methods is severely lacking. Here's a list of methods that needs more detailed documentation as has been pointed out by users:
TabularCPDdoesn't clearly specify what the arguments are expected to be. Ref: #1036TabularCPDmethods need to describe in more detail what each of them does.Returnsection is available in ea