corrgrapher: Explore Correlations Between Variables in a Machine Learning Model (original) (raw)
When exploring data or models we often examine variables one by one. This analysis is incomplete if the relationship between these variables is not taken into account. The 'corrgrapher' package facilitates simultaneous exploration of the Partial Dependence Profiles and the correlation between variables in the model. The package 'corrgrapher' is a part of the 'DrWhy.AI' universe.
| Version: | 1.0.4 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | visNetwork, ingredients, htmltools, ggplot2, knitr |
| Suggests: | rmarkdown, testthat, DALEX, gbm, ranger, spelling, covr |
| Published: | 2020-10-13 |
| DOI: | 10.32614/CRAN.package.corrgrapher |
| Author: | Pawel Morgen [aut, cre], Przemyslaw Biecek [aut] |
| Maintainer: | Pawel Morgen |
| BugReports: | https://github.com/ModelOriented/corrgrapher/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://modeloriented.github.io/corrgrapher/,https://github.com/ModelOriented/corrgrapher |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | corrgrapher results |
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