Описание тега gbm
R package gbm, implementing Generalized Boosted Regression Models library.
This package implements 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).
Who's using gbm?
The gbm package is used in examples in Software for Data Analysis by John Chambers.
gbm is also used in Elements of Statistical Learning by Hastie, Tibshirani and Friedman.
Richard A. Berk also uses gbm in his book, Statistical Learning from a Regression Perspective.