| Name : R-LiblineaR.ACF
| |
| Version : 1.94.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.2.1
| Date : 2024-06-24 13:58:52
|
| Group : Development/Libraries/Other
| Source RPM : R-LiblineaR.ACF-1.94.2-lp156.2.1.src.rpm
|
| Size : 0.10 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Linear Classification with Online Adaptation of Coordinate Frequencies
|
Description :
Solving the linear SVM problem with coordinate descent is very
efficient and is implemented in one of the most often used packages,
\'LIBLINEAR\' (available at http://www.csie.ntu.edu.tw/~cjlin/liblinear).
It has been shown that the uniform selection of coordinates can be
accelerated by using an online adaptation of coordinate frequencies
(ACF). This package implements ACF and is based on \'LIBLINEAR\' as well
as the \'LiblineaR\' package
(< https://cran.r-project.org/package=LiblineaR>). It currently supports
L2-regularized L1-loss as well as L2-loss linear SVM. Similar to
\'LIBLINEAR\' multi-class classification (one-vs-the rest, and Crammer &
Singer method) and cross validation for model selection is supported.
The training of the models based on ACF is much faster than standard
\'LIBLINEAR\' on many problems.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
