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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 24 weeks ago
gbm 2.0-8 1 year 40 weeks ago
gbm 2.0-5 1 year 46 weeks ago
gbm 1.6-3.2 2 years 28 weeks ago
gbm 1.6-3.1 4 years 25 weeks ago
gbm 1.6-3
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