FactoRizationMachines: Machine Learning with Higher-Order Factorization Machines

Implementation of three machine learning approaches: Support Vector Machines (SVM) with a linear kernel, second-order Factorization Machines (FM), and higher-order Factorization Machines (HoFM).

Version: 0.1
Imports: Rcpp (≥ 0.12.1), methods, Matrix
LinkingTo: Rcpp
Suggests: MASS
Published: 2016-12-02
Author: Julian Knoll
Maintainer: Julian Knoll <julian.knoll at th-nuernberg.de>
License: CC BY-NC-ND 4.0
NeedsCompilation: yes
CRAN checks: FactoRizationMachines results


Reference manual: FactoRizationMachines.pdf
Package source: FactoRizationMachines_0.1.tar.gz
Windows binaries: r-devel: FactoRizationMachines_0.1.zip, r-release: FactoRizationMachines_0.1.zip, r-oldrel: FactoRizationMachines_0.1.zip
OS X Mavericks binaries: r-release: FactoRizationMachines_0.1.tgz, r-oldrel: FactoRizationMachines_0.1.tgz


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