Imports: parallel, methods, tibble, rPref, tidyr, hash

Description: An efficient C++ based implementation of "Follow The (Proximally) Regularized Leader" online learning algorithm.
This algorithm was proposed in McMahan et al. (2013) <DOI:10.1145/2487575.2488200>.
Imports: stats, utils, data.table (>= 1.9.6), Matrix, FeatureHashing,

Description: Set of functions that enable you to use the FUSION commands (Program available in: <http://forsys.sefs.uw.edu/fusion/fusionlatest.html>).
Packaged: 2021-03-04 10:31:50 UTC; Alba Garcia
Maintainer: Alba García Cimarras <alba.gcimarras@gmail.com>

Description: An R implementation of the random ferns classifier by Ozuysal et al., modified for generic classification problems and featuring OOB error approximation and importance measure.

Description: An R implementation of the random ferns classifier by
Ozuysal et al., modified for generic classification problems
and featuring OOB error approximation and importance measure.

Description: An R implementation of the random ferns classifier by Ozuysal et al., modified for generic and multi-label classification and featuring OOB error approximation and importance measure.

Description: An R implementation of the random ferns classifier by Ozuysal et
al., modified for generic and multi-label classification and featuring OOB
error approximation and importance measure.

al., modified for generic and multi-label classification and featuring OOB error

Description: An R implementation of the random ferns classifier by Ozuysal, Calonder, Lepetit and Fua (2009) <doi:10.1109/TPAMI.2009.23>, modified for generic and multi-label classification and featuring OOB error approximation and importance measure as introduced in Kursa (2014) <doi:10.18637/jss.v061.i10>.

Description: Provides the random ferns classifier by Ozuysal, Calonder, Lepetit and Fua (2009) <doi:10.1109/TPAMI.2009.23>, modified for generic and multi-label classification and featuring OOB error approximation and importance measure as introduced in Kursa (2014) <doi:10.18637/jss.v061.i10>.