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SVMMaj  

Implementation of the SVM-Maj Algorithm
View on CRAN: Click here


Download and install SVMMaj package within the R console
Install from CRAN:
install.packages("SVMMaj")

Install from Github:
library("remotes")
install_github("cran/SVMMaj")

Install by package version:
library("remotes")
install_version("SVMMaj", "0.2.9.2")



Attach the package and use:
library("SVMMaj")
Maintained by
Hoksan Yip
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-13
Latest Update: 2023-09-16
Description:
Implements the SVM-Maj algorithm to train data with support vector machine as described in Groenen et al. (2008) . This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.
How to cite:
Hoksan Yip (2011). SVMMaj: Implementation of the SVM-Maj Algorithm. R package version 0.2.9.2, https://cran.r-project.org/web/packages/SVMMaj. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.2-2 (2011-01-13 13:09), 0.2-8 (2018-02-26 01:01), 0.2.9.1 (2022-05-23 10:02), 0.2.9 (2019-01-26 14:10)
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