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Repo discoverability #69

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damonbayer opened this issue Apr 4, 2024 · 1 comment
Open

Repo discoverability #69

damonbayer opened this issue Apr 4, 2024 · 1 comment
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@damonbayer
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damonbayer commented Apr 4, 2024

Goal

The structure of this repository and goals of this project should be understandable to a new team member and, ideally, the public.

Context

As a new team member, I am finding it difficult to grok the repo / project. A few sentences in the readme and installation instructions (for both contributors and users) would go a long way.

Some questions I had that could be addressed:

  • What is the purpose of this project and who is the intended audience?
  • What does it mean that it is an internal forecasting model?
  • Does this repo contain "a model" as is stated in the readme? Or is it a library for creating models? Or a specific implementation of a model?
  • According to the readme, the project has two main folders - model and pipeline. What's in those folders and how do they relate?
  • What is PyRenew? How do I install it (current installation instructions point to an archived GitHub repo)? Why isn't it mentioned in the root readme?
  • The pipeline directory is blank. What is it going to be used for?
@gvegayon gvegayon added the good first issue Good for newcomers label Apr 5, 2024
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gvegayon commented Apr 5, 2024

Thanks, @damonbayer! This is something I have thought about before. We need a better README.md to welcome users, and we can start adding documentation for new team members under docs. Both @cshelley and @AFg6K7h4fhy2 have some material that could be added as a section of the website living under docs.

@damonbayer damonbayer added this to the Backlog milestone May 24, 2024
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