JuliaGaussianProcesses / JuliaGaussianProcesses/AbstractGPs.jl

exporting AbstractGPs throughout Julia ecosystem

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Dominant language
Julia
Stars
287
Forks
27
PR merge metrics
No merged PRs in 30d

Description

Get in touch with maintainers of packages that currently use other or their own GP implementations to see if they'd be interested in collaborating in making their package work with AbstractGPs:

Contributor guide

No contributing guide indexed for this repository

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

Start with the checklist in issue #261 and review the linked GaussianProcesses.jl and GpABC.jl repositories. Contact the maintainers to assess interest in AbstractGPs collaboration, noting that BayesianOptimization.jl builds on GaussianProcesses.jl. Done means relevant packages have been identified and maintainers' responses or collaboration status are recorded.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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