JuliaGaussianProcesses / JuliaGaussianProcesses/AbstractGPs.jl

Examples / Docs TODO

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documentation good first issue
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Julia
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Description

@theogf pointed out here that we've got some missing examples, and @devmotion pointed out that some consolidation / extension of our existing examples would be helpful. Moreover, we've known for a while that there's stuff that needs to be better documented (e.g. how to handle multi-dimensional inputs). It makes sense to tackle these in the same issue so that we have a vaguely joined up approach to our examples + docs.

Below is a very incomplete list, please feel free to extend below, and I'll add them to this list (or add them directly yourself if GH allows that... I have no idea whether it does or not).

  • multi-input example
  • multi-input docs (ColVecs vs RowVecs vs Vector{<:AbstractVector} etc)
  • multi-output docs (using the multi-output abstractions in KernelFunctions)
  • multi-output example (using the multi-output abstractions in KernelFunctions)
  • sparse-approximation example -- the solution is very innaccurate, so possibly isn't the best showcase for sparse methods 😂 perhaps we could construct an example where the approximate posterior is less bad, but still imperfect?
  • combining some of the approximate inference examples. Maybe @devmotion could comment further on what he wants to do here?
  • examples using ParameterHandling.jl
  • examples using the Functors.jl interface
  • Turing integration example
  • Soss integration example

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are identified. Start by reviewing the existing examples and the unchecked checklist items, especially multi-input and multi-output documentation, sparse approximation, Functors.jl, Turing, and Soss integrations. Done means the selected examples or docs are added, consistent with the existing material, and the relevant checklist items can be marked complete.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
documentation
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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