mactivate: Multiplicative Activation

Provides methods and classes for adding m-activation ("multiplicative activation") layers to MLR or multivariate logistic regression models. M-activation layers created in this library detect and add input interaction (polynomial) effects into a predictive model. M-activation can detect high-order interactions – a traditionally non-trivial challenge. Details concerning application, methodology, and relevant survey literature can be found in this library's vignette, "About."

Version: 0.6.6
Depends: R (≥ 3.5.0)
Published: 2021-08-02
DOI: 10.32614/CRAN.package.mactivate
Author: Dave Zes
Maintainer: Dave Zes <zesdave at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: NEWS
CRAN checks: mactivate results

Documentation:

Reference manual: mactivate.pdf
Vignettes: mactivate-about
mactivate-examples-1
mactivate-examples-2
mactivate-tutorial-1

Downloads:

Package source: mactivate_0.6.6.tar.gz
Windows binaries: r-devel: mactivate_0.6.6.zip, r-release: mactivate_0.6.6.zip, r-oldrel: mactivate_0.6.6.zip
macOS binaries: r-release (arm64): mactivate_0.6.6.tgz, r-oldrel (arm64): mactivate_0.6.6.tgz, r-release (x86_64): mactivate_0.6.6.tgz, r-oldrel (x86_64): mactivate_0.6.6.tgz
Old sources: mactivate archive

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