Explore Correlations Between Variables in a Machine Learning Model

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.


Reference manual

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1.0.4 by Pawel Morgen, a year ago

https://modeloriented.github.io/corrgrapher/, https://github.com/ModelOriented/corrgrapher

Report a bug at https://github.com/ModelOriented/corrgrapher/issues

Browse source code at https://github.com/cran/corrgrapher

Authors: Pawel Morgen [aut, cre] , Przemyslaw Biecek [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports visNetwork, ingredients, htmltools, ggplot2, knitr

Suggests rmarkdown, testthat, DALEX, gbm, ranger, spelling, covr

See at CRAN