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LiblineaR.ACF
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Download and install LiblineaR.ACF package within the R console
Install from CRAN:
install.packages("LiblineaR.ACF")
Install from Github:
library("remotes")
install_github("cran/LiblineaR.ACF")
Install by package version:
library("remotes")
install_version("LiblineaR.ACF", "1.94-2")
Attach the package and use:
library("LiblineaR.ACF")
Maintained by
Aydin Demircioglu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-04
Latest Update: 2022-12-04
Description:
Solving the linear SVM problem with coordinate descentis very efficient and is implemented in one of the most often used packagesLIBLINEAR available at httpwww.csie.ntu.edu.twcjlinliblinear.It has been shown that the uniform selection of coordinates can beaccelerated by using an online adaptation of coordinate frequencies ACF.This package implements ACF and is based on LIBLINEAR as well asthe LiblineaR package httpscran.r-project.orgpackageLiblineaR.It currently supports L2-regularized L1-loss as well as L2-loss linear SVM.Similar to LIBLINEAR multi-class classification one-vs-the rest andCrammer Singer method and cross validation for model selection issupported. The training of the models based on ACF is much faster thanstandard LIBLINEAR on many problems.
How to cite:
Aydin Demircioglu (2016). LiblineaR.ACF: Linear Classification with Online Adaptation of Coordinate
Frequencies. R package version 1.94-2, https://cran.r-project.org/web/packages/LiblineaR.ACF
Previous versions and publish date:
1.94-2 (2016-01-04 12:39)
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