JuliaGaussianProcesses / JuliaGaussianProcesses/LinearMixingModels.jl
Speed up `logpdf` and `posterior` for the ILMM
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- Dominant language
- Julia
- Stars
- 5
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
These are still taking longer than they should.
Changing how we typecast sped these up by an order of magnitude but they should be faster than they currently are (as benchmarked in the examples notebook, which will be linked when it is merged).
Some investigation in to reshaping, typecasting, etc... should be done.
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 with the ILMM logpdf and posterior entry points and review the typecasting changes in PR #29. Run the examples notebook benchmarks once it is available, then investigate reshaping and typecasting costs. Done means both operations are measurably faster in those benchmarks.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning, performance
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100