r-cran-gbm binary package in Ubuntu Xenial amd64

 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/

Publishing history

Date Status Target Pocket Component Section Priority Phased updates Version
  2015-10-22 15:20:22 UTC Published Ubuntu Xenial amd64 release universe gnu-r Optional 2.1-1
  • Published
  • Copied from ubuntu trusty-proposed amd64 in Primary Archive for Ubuntu