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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 49 weeks 13 hours ago
gbm 2.0-8 1 year 12 weeks ago
gbm 2.0-5 1 year 18 weeks ago
gbm 1.6-3.2 2 years 6 days ago
gbm 1.6-3.1 3 years 49 weeks ago
gbm 1.6-3
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