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Generalized Boosted Regression Models
Greg Ridgeway <> with contributions from others
GPL (>= 2) | file LICENSE
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).
Package Version Released
gbm 2.1 1 year 37 weeks ago
gbm 2.0-8 2 years 1 week ago
gbm 2.0-5 2 years 7 weeks ago
gbm 1.6-3.2 2 years 41 weeks ago
gbm 1.6-3.1 4 years 37 weeks ago
gbm 1.6-3
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