agtboost
Adaptive and Automatic Gradient Boosting Computations
Fast and automatic gradient tree boosting designed to avoid manual tuning and cross-validation by utilizing an information theoretic approach. This makes the algorithm adaptive to the dataset at hand; it is completely automatic, and with minimal worries of overfitting. Consequently, the speed-ups relative to state-of-the-art implementations can be in the thousands while mathematical and technical knowledge required on the user are minimized.
- Version0.9.3
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release11/23/2021
Documentation
Team
Berent Ånund Strømnes Lunde
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