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Provides an easy to calculate local variable importance measure based on Ceteris Paribus profile and global variable importance measure based on Partial Dependence Profiles.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.0) |
| Imports: | ggplot2, DALEX |
| Suggests: | knitr, rmarkdown, mlbench, randomForest, gridExtra, grid, lattice, testthat, ingredients |
| Published: | 2020-09-07 |
| DOI: | 10.32614/CRAN.package.vivo |
| Author: | Anna Kozak [aut, cre], Przemyslaw Biecek [aut, ths] |
| Maintainer: | Anna Kozak <anna1993kozak at gmail.com> |
| BugReports: | https://github.com/ModelOriented/vivo/issues |
| License: | GPL-2 |
| URL: | https://github.com/ModelOriented/vivo |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | vivo results |
| Reference manual: | vivo.pdf |
| Vignettes: |
Example of global variable importance Example of local variable importance |
| Package source: | vivo_0.2.1.tar.gz |
| Windows binaries: | r-devel: vivo_0.2.1.zip, r-release: vivo_0.2.1.zip, r-oldrel: vivo_0.2.1.zip |
| macOS binaries: | r-release (arm64): vivo_0.2.1.tgz, r-oldrel (arm64): vivo_0.2.1.tgz, r-release (x86_64): vivo_0.2.1.tgz, r-oldrel (x86_64): vivo_0.2.1.tgz |
| Old sources: | vivo 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.