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SVMMaj

Implementation of the SVM-Maj Algorithm

Implements the SVM-Maj algorithm to train data with support vector machine <doi:10.1007/s11634-008-0020-9>. This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

Versions across snapshots

VersionRepositoryFileSize
0.2.9.4 rolling linux/jammy R-4.5 SVMMaj_0.2.9.4.tar.gz 573.2 KiB
0.2.9.4 rolling linux/noble R-4.5 SVMMaj_0.2.9.4.tar.gz 573.3 KiB
0.2.9.4 rolling source/ R- SVMMaj_0.2.9.4.tar.gz 531.3 KiB
0.2.9.4 latest linux/jammy R-4.5 SVMMaj_0.2.9.4.tar.gz 573.2 KiB
0.2.9.4 latest linux/noble R-4.5 SVMMaj_0.2.9.4.tar.gz 573.3 KiB
0.2.9.4 latest source/ R- SVMMaj_0.2.9.4.tar.gz 531.3 KiB
0.2.9.4 2026-04-26 source/ R- SVMMaj_0.2.9.4.tar.gz 531.3 KiB
0.2.9.4 2026-04-23 source/ R- SVMMaj_0.2.9.4.tar.gz 531.3 KiB
0.2.9.4 2026-04-09 windows/windows R-4.5 SVMMaj_0.2.9.4.zip 574.5 KiB
0.2.9.3 2025-04-20 source/ R- SVMMaj_0.2.9.3.tar.gz 546.0 KiB

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