JuliaGaussianProcesses / JuliaGaussianProcesses/LinearMixingModels.jl
Define functions returning all helpful quantities explicitly
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- Dominant language
- Julia
- Stars
- 5
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
Define mean_and_cov, mean_and_var as well as mean, cov and var all explicitly to guarantee optimality relative to how we calculate each individual quantity.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the definitions and existing uses of mean_and_cov, mean_and_var, mean, cov, and var in the Julia package. Review how each individual quantity is currently calculated; done means all five functions are explicitly defined so their calculations remain individually optimal.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100