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gbm

Generalized Boosted Regression Models
Greg Ridgeway <gregridgeway@gmail.com> 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).
Versions
Package Version Released
gbm 2.1 1 year 28 weeks ago
gbm 2.0-8 1 year 44 weeks ago
gbm 2.0-5 1 year 50 weeks ago
gbm 1.6-3.2 2 years 32 weeks ago
gbm 1.6-3.1 4 years 29 weeks ago
gbm 1.6-3
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