agtboost: Adaptive and Automatic Gradient Boosting Computations (original) (raw)

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.

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=agtboostto link to this page.