Package: breakDown 0.2.2
breakDown: 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.
Authors:
breakDown_0.2.2.tar.gz
breakDown_0.2.2.zip(r-4.5)breakDown_0.2.2.zip(r-4.4)breakDown_0.2.2.zip(r-4.3)
breakDown_0.2.2.tgz(r-4.4-any)breakDown_0.2.2.tgz(r-4.3-any)
breakDown_0.2.2.tar.gz(r-4.5-noble)breakDown_0.2.2.tar.gz(r-4.4-noble)
breakDown_0.2.2.tgz(r-4.4-emscripten)breakDown_0.2.2.tgz(r-4.3-emscripten)
breakDown.pdf |breakDown.html✨
breakDown/json (API)
NEWS
| # Install 'breakDown' in R: |
| install.packages('breakDown', repos = c('https://pbiecek.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pbiecek/breakdown/issues
data-scienceimlinterpretabilitymachine-learningvisual-explanationsxai
Last updated 8 months agofrom:be207806d2. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 14 2024 |
| R-4.5-win | OK | Nov 14 2024 |
| R-4.5-linux | OK | Nov 14 2024 |
| R-4.4-win | OK | Nov 14 2024 |
| R-4.4-mac | OK | Nov 14 2024 |
| R-4.3-win | OK | Nov 14 2024 |
| R-4.3-mac | OK | Nov 14 2024 |
Exports:betasbreak_downbroken
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
breakDown plots for the generalised linear models
Rendered frombreak_glm.Rmdusingknitr::rmarkdownon Nov 14 2024.Last update: 2018-03-17
Started: 2017-12-02
breakDown plots for the linear models
Rendered frombreak_lm.Rmdusingknitr::rmarkdownon Nov 14 2024.Last update: 2020-04-04
Started: 2017-12-02
How to use breakDown package for models created with caret
Rendered frombreak_caret.Rmdusingknitr::rmarkdownon Nov 14 2024.Last update: 2018-03-17
Started: 2018-02-26
model agnostic breakDown plots for randomForest
Rendered frombreak_randomForest.Rmdusingknitr::rmarkdownon Nov 14 2024.Last update: 2019-03-26
Started: 2018-02-16
model agnostic breakDown plots for ranger
Rendered frombreak_ranger.Rmdusingknitr::rmarkdownon Nov 14 2024.Last update: 2018-03-17
Started: 2017-12-02
How to use breakDown package for SVM models
Rendered frombreak_svm.Rmdusingknitr::rmarkdownon Nov 14 2024.Last update: 2018-03-25
Started: 2018-03-25
How to use breakDown package for models created with xgboost
Rendered frombreak_xgboost.Rmdusingknitr::rmarkdownon Nov 14 2024.Last update: 2018-03-25
Started: 2018-03-17
