Ceteris Paribus Profiles

Ceteris Paribus Profiles (What-If Plots) are designed to present model responses around selected points in a feature space. For example around a single prediction for an interesting observation. Plots are designed to work in a model-agnostic fashion, they are working for any predictive Machine Learning model and allow for model comparisons. Ceteris Paribus Plots supplement the Break Down Plots from 'breakDown' package.


News

ceterisParibus 0.3

  • The ceteris_paribus() function from ver 0.2 is now avaliable as what_if(). Here is where the development of older version will take place.

Major refactoring of the code

Please note, that what_if() and local_fit() functions are remainders from version 0.2 and they will be deprecated in version 0.4. They will not be avaliable in version 1.0. From version 0.3 the recommended way to create explainers is through the function ceteris_paribus().

Please note, that plot_interactive() function will be deprecated in version 0.4. It will not be avaliable in version 1.0.

Reference manual

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install.packages("ceterisParibus")

0.3.1 by Przemyslaw Biecek, 17 days ago


https://pbiecek.github.io/ceterisParibus/


Report a bug at https://github.com/pbiecek/ceterisParibus/issues


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


Authors: Przemyslaw Biecek [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports DALEX, knitr

Depends on ggplot2, gower

Suggests randomForest, ggiraph, e1071, testthat, rpart


See at CRAN