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agtboost  

Adaptive and Automatic Gradient Boosting Computations
View on CRAN: Click here


Download and install agtboost package within the R console
Install from CRAN:
install.packages("agtboost")

Install from Github:
library("remotes")
install_github("cran/agtboost")

Install by package version:
library("remotes")
install_version("agtboost", "0.9.3")



Attach the package and use:
library("agtboost")
Maintained by
Berent Ånund Strømnes Lunde
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-01
Latest Update: 2021-11-23
Description:
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.
How to cite:
Berent Ånund Strømnes Lunde (2020). agtboost: Adaptive and Automatic Gradient Boosting Computations. R package version 0.9.3, https://cran.r-project.org/web/packages/agtboost. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.9.0 (2020-09-01 16:00), 0.9.1 (2020-10-14 01:50), 0.9.2 (2021-11-10 21:50)
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