JuliaGaussianProcesses / JuliaGaussianProcesses/KernelFunctions.jl
NeuralNetworkKernel for multi-dimensional inputs
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 275
- Forks
- 41
- PR merge metrics
- No merged PRs in 30d
Description
Related PR #70
Related Comment link
TODO:
Implement efficient way to deal with multi dimensional input for the NeuralNetworkKernel.
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 by reading related PR #70 and its linked review comment to understand the existing discussion around NeuralNetworkKernel inputs. Then inspect the NeuralNetworkKernel implementation and determine how multi-dimensional inputs should be handled efficiently. Done means the kernel supports multi-dimensional input without the current limitation and the relevant behavior is covered by tests, if applicable.
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
- 25/100