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 <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
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: not available
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

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