The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

spFSR: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation

An implementation of feature selection, weighting and ranking via simultaneous perturbation stochastic approximation (SPSA). The SPSA-FSR algorithm searches for a locally optimal set of features that yield the best predictive performance using some error measures such as mean squared error (for regression problems) and accuracy rate (for classification problems).

Version: 2.0.4
Depends: mlr3 (≥ 0.14.0), future (≥ 1.28.0), tictoc (≥ 1.0)
Imports: mlr3pipelines (≥ 0.4.2), mlr3learners (≥ 0.5.4), ranger (≥ 0.14.1), parallel (≥ 3.4.2), ggplot2 (≥ 2.2.1), lgr (≥ 0.4.4)
Suggests: caret (≥ 6.0), MASS (≥ 7.3)
Published: 2023-03-17
DOI: 10.32614/CRAN.package.spFSR
Author: David Akman [aut, cre], Babak Abbasi [aut, ctb], Yong Kai Wong [aut, ctb], Guo Feng Anders Yeo [aut, ctb], Zeren D. Yenice [ctb]
Maintainer: David Akman <david.v.akman at gmail.com>
BugReports: https://github.com/yongkai17/spFSR/issues
License: GPL-3
URL: https://www.featureranking.com/
NeedsCompilation: no
CRAN checks: spFSR results

Documentation:

Reference manual: spFSR.pdf

Downloads:

Package source: spFSR_2.0.4.tar.gz
Windows binaries: r-devel: spFSR_2.0.4.zip, r-release: spFSR_2.0.4.zip, r-oldrel: spFSR_2.0.4.zip
macOS binaries: r-release (arm64): spFSR_2.0.4.tgz, r-oldrel (arm64): spFSR_2.0.4.tgz, r-release (x86_64): spFSR_2.0.4.tgz, r-oldrel (x86_64): spFSR_2.0.4.tgz
Old sources: spFSR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spFSR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.