JuliaAI / JuliaAI/DecisionTree.jl
Add multithreading support in RF predictions: probabilistic classification - and regression
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 364
- Forks
- 100
- PR merge metrics
- No merged PRs in 30d
Description
When multithreading prediction support was added in https://github.com/JuliaAI/DecisionTree.jl/pull/188/files it appears that it was only added for apply_forest and not apply_forest_proba. And not added at all for regression, only classification.
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
Review PR #188 and the current apply_forest implementation, then trace apply_forest_proba and the regression prediction path. Done means probabilistic classification and regression predictions have equivalent multithreading support, with their existing behavior preserved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100