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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.
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