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r-cran-gbm

GNU R package providing Generalized Boosted Regression Models

Description

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).

Author: Greg Ridgeway <gregr@rand.org>

Maintainer: Harry Southworth <harry.southworth@gmail.com>

URL: http://code.google.com/p/gradientboostedmodels/

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Homepage

https://cran.r-project.org/package=gbm


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1305 other people were interested in this package here. The newest known version of this software is 2.1.5-1 (Information last updated about 7 hours ago.)