Package: sparseSVM 1.1-7

sparseSVM: Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization

Offers a fast algorithm for fitting solution paths of sparse SVM models with lasso or elastic-net regularization. Reference: Congrui Yi and Jian Huang (2017) <doi:10.1080/10618600.2016.1256816>.

Authors:Congrui Yi [aut, cre], Yaohui Zeng [aut]

sparseSVM_1.1-7.tar.gz
sparseSVM_1.1-7.zip(r-4.7-x86_64)sparseSVM_1.1-7.zip(r-4.7-arm64)sparseSVM_1.1-7.zip(r-4.6-x86_64)sparseSVM_1.1-7.zip(r-4.6-arm64)sparseSVM_1.1-7.zip(r-4.5-x86_64)
sparseSVM_1.1-7.tgz(r-4.6-x86_64)sparseSVM_1.1-7.tgz(r-4.6-arm64)sparseSVM_1.1-7.tgz(r-4.5-x86_64)sparseSVM_1.1-7.tgz(r-4.5-arm64)
sparseSVM_1.1-7.tar.gz(r-4.7-arm64)sparseSVM_1.1-7.tar.gz(r-4.7-x86_64)sparseSVM_1.1-7.tar.gz(r-4.6-arm64)sparseSVM_1.1-7.tar.gz(r-4.6-x86_64)
sparseSVM_1.1-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sparseSVM/json (API)

# Install 'sparseSVM' in R:
install.packages('sparseSVM', repos = c('https://cy-dev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cy-dev/sparsesvm/issues

On CRAN:

Conda:

elasticnethigh-dimensionallassomachine-learning-algorithmsregularization-pathssvm

4.83 score 6 stars 1 packages 25 scripts 249 downloads 1 mentions 2 exports 0 dependencies

Last updated from:9fe031c420. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK68
linux-devel-x86_64OK87
source / vignettesOK142
linux-release-arm64OK125
linux-release-x86_64OK89
macos-release-arm64OK81
macos-release-x86_64OK243
macos-oldrel-arm64OK85
macos-oldrel-x86_64OK306
windows-devel-arm64OK320
windows-devel-x86_64OK112
windows-release-arm64OK313
windows-release-x86_64OK74
windows-oldrel-x86_64OK49
wasm-releaseOK74

Exports:cv.sparseSVMsparseSVM

Dependencies: