JuliaAI / JuliaAI/DecisionTree.jl
Add support for specifying the `loss` used in random forests and AdaBoost model
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good first issue
- Dominant language
- Julia
- Stars
- 364
- Forks
- 100
- PR merge metrics
- No merged PRs in 30d
Description
As far as I can tell, the loss parameter is only exposed for single trees. I think this would be pretty easy to add to the ensemble models.
Issue raised at #211.
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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 by reading issue #211 and tracing how the loss parameter is exposed for single trees. Compare the random-forest and AdaBoost entry points, then verify that both ensemble models accept and use the requested loss consistently.
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Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100