Three ensemble learning algorithms based on support vector machines. They all train support vector machines on subset of data and combine the result.
| Version: | 0.1-6 |
| Depends: | R (≥ 3.2.0) |
| Imports: | e1071, LiblineaR, Matrix, SparseM, kernlab, methods, checkmate (≥ 1.6.0), BBmisc |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2020-01-31 |
| Author: | Tong He, Aydin Demircioglu |
| Maintainer: | Tong He <hetong007 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | SwarmSVM results |
| Reference manual: | SwarmSVM.pdf |
| Vignettes: |
SwarmSVM |
| Package source: | SwarmSVM_0.1-6.tar.gz |
| Windows binaries: | r-devel: SwarmSVM_0.1-6.zip, r-release: SwarmSVM_0.1-6.zip, r-oldrel: SwarmSVM_0.1-6.zip |
| macOS binaries: | r-release: SwarmSVM_0.1-6.tgz, r-oldrel: SwarmSVM_0.1-6.tgz |
| Old sources: | SwarmSVM archive |
| Reverse suggests: | mlr |
Please use the canonical form https://CRAN.R-project.org/package=SwarmSVM to link to this page.