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gbm

swMATH ID: 7994
Software Authors: Brandon Greenwell, Bradley Boehmke, Jay Cunningham
Description: gbm: Generalized Boosted Regression Models. 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).
Homepage: http://cran.r-project.org/web/packages/gbm/index.html
Source Code:  https://github.com/cran/gbm
Dependencies: R
Related Software: R; randomForest; rpart; ElemStatLearn; mboost; Kernlab; caret; UCI-ml; ada; e1071; AdaBoost.MH; glmnet; MASS (R); C4.5; CRAN Task Views; ROCR; ranger; CRAN; XGBoost; ggplot2
Cited in: 53 Documents
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