less: Learning with Subset Stacking

"Learning with Subset Stacking" is a supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. You can find the details about LESS in our manuscript at <doi:10.48550/arXiv.2112.06251>.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	caret, e1071, FNN, MLmetrics, pracma, R6, randomForest, RANN, rpart, wordspace
Published:	2022-09-27
DOI:	10.32614/CRAN.package.less
Author:	Ilker Birbil [aut], Burhan Ozer Cavdar [aut, trl, cre]
Maintainer:	Burhan Ozer Cavdar <bcavdar17 at ku.edu.tr>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	less results

Documentation:

Reference manual:

less.pdf

Downloads:

Package source:	less_0.1.0.tar.gz
Windows binaries:	r-devel: less_0.1.0.zip, r-release: less_0.1.0.zip, r-oldrel: less_0.1.0.zip
macOS binaries:	r-release (arm64): less_0.1.0.tgz, r-oldrel (arm64): less_0.1.0.tgz, r-release (x86_64): less_0.1.0.tgz, r-oldrel (x86_64): less_0.1.0.tgz

Linking:

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