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