Functions for subject/instance weighted support vector machines (SVM). It uses a modified version of 'libsvm' and is compatible with package 'e1071'. It also allows user defined kernel matrix.
Version: | 1.7-16 |
Imports: | graphics, grDevices, stats, methods, utils |
Suggests: | SparseM, xtable, Matrix, MASS, e1071, knitr, slam, kernlab |
Published: | 2024-10-12 |
DOI: | 10.32614/CRAN.package.WeightSVM |
Author: | Tianchen Xu |
Maintainer: | Tianchen Xu <tx2155 at columbia.edu> |
BugReports: | https://github.com/zjph602xtc/wsvm/issues |
License: | GPL-2 | GPL-3 |
URL: | https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/#weights_for_data_instances |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | WeightSVM results |
Reference manual: | WeightSVM.pdf |
Vignettes: |
Weighted Support Vector Machine Formulation (source) |
Package source: | WeightSVM_1.7-16.tar.gz |
Windows binaries: | r-devel: WeightSVM_1.7-16.zip, r-release: WeightSVM_1.7-16.zip, r-oldrel: WeightSVM_1.7-16.zip |
macOS binaries: | r-release (arm64): WeightSVM_1.7-16.tgz, r-oldrel (arm64): WeightSVM_1.7-16.tgz, r-release (x86_64): WeightSVM_1.7-16.tgz, r-oldrel (x86_64): WeightSVM_1.7-16.tgz |
Old sources: | WeightSVM archive |
Reverse depends: | ECTSVR |
Reverse imports: | mpath |
Reverse suggests: | mlpwr |
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