Speed up hyperparameter tuning by caching quantile sketch
Open
feature-request
- Dominant language
- C++
- Stars
- 28.8k
- Forks
- 8.9k
- Avg merge
- 1d 12h
- Merged PRs (30d)
- 54
Description
https://discuss.xgboost.ai/t/saving-dmatrix-after-building-quantile-cuts-and-historgram/1937
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue provides only a title and a link to the XGBoost discussion about saving a DMatrix after building quantile cuts and histograms. Read that discussion first; the issue does not identify files, tests, an entry point, or acceptance criteria, so the intended caching design and definition of done remain to be established.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100