gbm
type: Item
swMATH work ID: 7994
instance of: R package
software version identifier: 2.1.8.1
software version identifier: 0.6
software version identifier: 0.7-1
software version identifier: 0.7-2
software version identifier: 0.7
software version identifier: 1.0
software version identifier: 1.1-1
software version identifier: 1.1-2
software version identifier: 1.2
software version identifier: 1.3-3
software version identifier: 1.3-5
software version identifier: 1.4-2
software version identifier: 1.5-1
software version identifier: 1.5-3
software version identifier: 1.5-5
software version identifier: 1.5-7
software version identifier: 1.5
software version identifier: 1.6-1
software version identifier: 1.6-2
software version identifier: 1.6-3.1
software version identifier: 1.6-3.2
software version identifier: 1.6-3
software version identifier: 2.0-5
software version identifier: 2.0-8
software version identifier: 2.1.1
software version identifier: 2.1.2
software version identifier: 2.1.3
software version identifier: 2.1.4
software version identifier: 2.1.5
software version identifier: 2.1.8
software version identifier: 2.1
software version identifier: 2.1.9
CRAN project: gbm
programmed in: R
last update: 2024-01-10T00:00:00Z
maintained by: Greg Ridgeway
description: An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at github.com/gbm-developers/gbm3.
author: Greg Ridgeway
author: Gbm Developers
copyright license: GNU General Public License, version 2.0
copyright license: GNU General Public License, version 3.0
copyright license: File License
imports: lattice
imports: parallel
imports: survival
MaRDI profile type: Software
depends on software: R
source code repository: gbm
description: Generalized Boosted Regression Models