Package: LiblineaR.ACF
Title: Linear Classification with Online Adaptation of Coordinate
        Frequencies
Version: 1.94-2
Author: Aydin Demircioglu <aydin.demircioglu@ini.rub.de>;
    Tobias Glasmachers <tobias.glasmachers@ini.rub.de>;
    Urun Dogan <urundogan@gmail.com>
Maintainer: Aydin Demircioglu <aydin.demircioglu@ini.rub.de>
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.
Copyright: The LIBLINEAR Project; Thibault Helleputte
        <thibault.helleputte@dnalytics.com>; Pierre Gramme
        <pierre.gramme@dnalytics.com>
License: GPL-2
Date: 2016-01-04
LazyLoad: yes
Suggests: SparseM, testthat
URL: http://github.com/aydindemircioglu/liblineaR.ACF/
NeedsCompilation: yes
Repository: CRAN
RoxygenNote: 5.0.1
Packaged: 2016-01-04 11:27:37 UTC; drunkeneye
Date/Publication: 2016-01-04 12:39:03
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-15 15:35:43 UTC; unix
Archs: LiblineaR.ACF.so.dSYM
