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breakDown  

Model Agnostic Explainers for Individual Predictions
View on CRAN: Click here


Download and install breakDown package within the R console
Install from CRAN:
install.packages("breakDown")

Install from Github:
library("remotes")
install_github("cran/breakDown")

Install by package version:
library("remotes")
install_version("breakDown", "0.2.2")



Attach the package and use:
library("breakDown")
Maintained by
Przemyslaw Biecek
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-29
Latest Update: 2021-01-20
Description:
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.
How to cite:
Przemyslaw Biecek (2018). breakDown: Model Agnostic Explainers for Individual Predictions. R package version 0.2.2, https://cran.r-project.org/web/packages/breakDown
Previous versions and publish date:
0.1.3 (2018-01-29 12:39), 0.1.4 (2018-02-27 07:35), 0.1.5 (2018-04-06 14:41), 0.1.6 (2018-06-14 20:33), 0.2.0 (2020-04-05 07:00), 0.2.1 (2021-01-20 13:30)
Other packages that cited breakDown R package
View breakDown citation profile
Other R packages that breakDown depends, imports, suggests or enhances
Functions, R codes and Examples using the breakDown R package
Some associated functions: HR_data . betas . break_down . broken.default . broken.glm . broken.lm . broken . plot.broken . print.broken . wine . 
Some associated R codes: HR_data.R . betas.R . break.R . break_agnostic.R . break_interactions.R . create.R . plot.R . print.R . wine_data.R .  Full breakDown package functions and examples
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