[FEA] Support missing_value in nvForest
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feature request
- Dominant language
- C++
- Stars
- 15
- Forks
- 23
- Avg merge
- 1d 21h
- Merged PRs (30d)
- 28
Description
nvForest assumes missing value is NaN.
XGBoost, LightGBM and Treelite supports other missing values.
Supporting arbitrary missing value is helpful.
https://github.com/rapidsai/cuml/blob/branch-23.12/cpp/src/fil/internal.cuh#L437
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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 referenced cuML cpp/src/fil/internal.cuh location around line 437 and trace how nvForest currently treats missing values during inference. Done means nvForest supports a caller-specified missing value rather than assuming NaN, with the behavior covered by the relevant existing tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100