gbm-developers/gbm3: Generalized Boosted Regression Models
Version 2.2

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, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMART).

Getting started

Package details

Maintainer
LicenseGPL (>= 2) | file LICENSE
Version2.2
URL https://github.com/gbm-developers/gbm3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("gbm-developers/gbm3")
gbm-developers/gbm3 documentation built on Oct. 31, 2017, 12:55 p.m.