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[ Source: r-cran-gbm  ]

Package: r-cran-gbm (2.1.8-1)

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GNU R package providing 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).

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Architecture Package Size Installed Size Files
s390x 548.6 kB765.0 kB [list of files]