Project details for r-cran-bst

Logo r-cran-bst 0.3-13

by r-cran-robot - February 17, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ]

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Gradient Boosting: Functional gradient descent algorithm for a variety of convex and nonconvex loss functions, for both classical and robust regression and classification problems. HingeBoost is implemented for binary and multi-class classification, with unequal misclassification costs for binary case. The algorithm can fit linear and nonlinear classifiers.

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Fetched by r-cran-robot on 2016-09-01 00:00:04.497883

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Tags: R-Cran
Archive: download here


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