JuliaGaussianProcesses / JuliaGaussianProcesses/KernelFunctions.jl
`KernelSum` and `KernelProduct` with `Vector` of `Kernel` fails
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bug
- Dominant language
- Julia
- Stars
- 275
- Forks
- 41
- PR merge metrics
- No merged PRs in 30d
Description
Right now these composites will not work if the container is not a Tuple.
See
k = SqExponentialKernel()
kk = KernelSum([k, k])
kk(2, 3) # Errors
Contributor guide
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 with the KernelSum and KernelProduct entry points and reproduce the provided example using a Vector of Kernel values rather than a Tuple. Trace why calling kk(2, 3) fails, then confirm that both composites work with the shown vector-based construction and still support tuple containers.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100