Description:

Gradient Boosting: Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) [HTML_REMOVED], Wang (2012) [HTML_REMOVED], Wang (2018) [HTML_REMOVED], Wang (2018) [HTML_REMOVED].

Changes to previous version:

Fetched by r-cran-robot on 2018-09-01 00:00:05.199020

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Tags: R-Cran

Archive: download here

Other available revisons

Version	Changelog	Date
0.3-15	Fetched by r-cran-robot on 2018-09-01 00:00:05.199020	September 1, 2018, 00:00:05
0.3-14	Fetched by r-cran-robot on 2018-05-01 00:00:06.207981	October 1, 2016, 00:00:03
0.3-13	Fetched by r-cran-robot on 2016-09-01 00:00:04.497883	June 1, 2016, 00:00:04
0.3-11	Fetched by r-cran-robot on 2016-01-01 00:00:04.330083	January 1, 2016, 00:00:04
0.3-4	Fetched by r-cran-robot on 2015-12-01 00:00:05.311752	July 1, 2014, 00:00:04
0.3-3	Fetched by r-cran-robot on 2014-06-01 00:00:04.029077	October 1, 2013, 00:00:05
0.3-2	Fetched by r-cran-robot on 2013-09-01 00:00:04.372976	February 1, 2012, 00:00:04

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