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"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 |
| Reference manual: | less.pdf |
| 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 |
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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.