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agtboost
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.agtboost . agtboost results . agtboost.pdf . agtboost_0.9.3.tar.gz . agtboost_0.9.3.zip . agtboost_0.9.3.zip . agtboost_0.9.3.zip . agtboost_0.9.3.tgz . agtboost_0.9.3.tgz . agtboost_0.9.3.tgz . agtboost_0.9.3.tgz . agtboost_0.9.3.tgz . agtboost_0.9.3.tgz . agtboost archive . https://CRAN.R-project.org/package=agtboost .
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 11 Apr. 2025.
Previous versions and publish date:
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Other R packages that agtboost depends,
imports, suggests or enhances
Complete documentation for agtboost
Functions, R codes and Examples using
the agtboost R package
Some associated functions: agtboost . caravan.train . gbt.complexity . gbt.convergence . gbt.importance . gbt.ksval . gbt.load . gbt.save . gbt.train . predict.Rcpp_ENSEMBLE . predict.Rcpp_GBT_COUNT_AUTO .
Some associated R codes: agtboost-package.R . caravan_data.R . gbt.complexity.R . gbt.convergence.R . gbt.importance.R . gbt.ksval.R . gbt.load.R . gbt.pred.R . gbt.save.R . gbt.train.R . zzz.R . Full agtboost package functions and examples
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