R: Adaptive and automatic gradient boosting computations.

agtboost {agtboost} | R Documentation

## Adaptive and automatic gradient boosting computations.

### Description

Adaptive and Automatic Gradient Boosting Computations

### Details

agtboost is a lightning fast gradient boosting library 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 are in the thousands while mathematical and technical knowledge required on the user are minimized.

Important functions:

- `gbt.train`: function for training an agtboost ensemble

- `predict.Rcpp_ENSEMBLE`: function for predicting from an agtboost ensemble

See individual function documentation for usage.

### Author(s)

Berent Ånund Strømnes Lunde

[Package agtboost version 0.9.3 Index]