JuliaAI / JuliaAI/DecisionTree.jl
Parallel Random Forest
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 364
- Forks
- 100
- PR merge metrics
- No merged PRs in 30d
Description
I noticed that the random forest classifier is intended to build trees in parallel. However, we must manually add julia processes by either invoking the -p option or use the addproc function. I am wondering if the classifier can automatically add processes. perhaps by adding an option indicating how many processes the user wants to use, which default value is 1.
Caleb
Contributor guide
No contributing guide indexed for this repository
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 random forest classifier and its current process-handling code, then review how Julia processes are added through -p or addproc. Done means the classifier exposes a process-count option, defaults to one process, and uses the requested number of processes automatically.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100