Model Agnostic Explainers for Individual Predictions

Model agnostic tool for decomposition of predictions from black boxes. Break Down Table shows contributions of every variable to a final prediction. Break Down Plot presents variable contributions in a concise graphical way. This package work for binary classifiers and general regression models.


News

breakDown 0.1.2

  • broken.lm and broken.glm are now supporting interactions (#7)
  • print() and plot() functions are now handling different options for rounding via additional arguments digits = 3, rounding_function = round (#8)

breakDown 0.1.1

  • the baseline argument is added to the broken function (#1)
  • vignettes for lm and glm models are added (#2)

breakDown 0.1

  • waterfall like plots and support for lm models
  • waterfall like plots and support for glm models
  • HRdataset added

Reference manual

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install.packages("breakDown")

0.1.6 by Przemyslaw Biecek, 7 days ago


https://pbiecek.github.io/breakDown/


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


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


Authors: Przemyslaw Biecek [aut, cre], Aleksandra Grudziaz [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports ggplot2

Suggests knitr, rmarkdown, e1071, kernlab, xgboost, caret, randomForest, ranger, testthat


Imported by DALEX, live.


See at CRAN