Provides an easy to calculate variable importance measure based on Ceteris Paribus plot and is calculated in eight variants. We obtain eight variants measure through the possible combinations of three parameters such as absolute_deviation, point and density.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.0) |
| Imports: | ggplot2, dplyr, ingredients |
| Suggests: | knitr, rmarkdown, DALEX, mlbench, randomForest, gridExtra, grid, lattice, testthat |
| Published: | 2019-06-17 |
| Author: | Anna Kozak [aut, cre], Przemyslaw Biecek [aut, ths] |
| Maintainer: | Anna Kozak <anna1993kozak at gmail.com> |
| BugReports: | https://github.com/MI2DataLab/vivo/issues |
| License: | GPL-2 |
| URL: | https://github.com/MI2DataLab/vivo |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | vivo results |
| Reference manual: | vivo.pdf |
| Vignettes: |
Example with random forest model |
| Package source: | vivo_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| OS X binaries: | r-release: not available, r-oldrel: not available |
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