Description
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.
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13
OK
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 7, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 6, 2026
ERROR
r-devel-linux-x86_64-debian-gcc
tests
Running ‘test_all.R’ [6s/8s]
Running the tests in ‘tests/test_all.R’ failed.
Complete output:
> library(testthat)
> library(SVMMaj)
Loading required package: parallel
> Sys.setenv(R_TESTS = "")
> test_check("SVMMaj")
Saving _problems/test
...[truncated]...
ernels & decomposition methods ──
Expected `max(abs(model.svd$q - model.chol$q))` < 1e-04.
Actual comparison: 0.00032 >= 0.00010
Difference: 0.00022 >= 0
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 17 ]
Error:
! Test failures.
Execution halted
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
Dependency Network
Version History
8 tracked
new
0.2.9.4
Mar 10, 2026
new
0.2-2
Jan 12, 2011