Package: vivo 0.2.1
Anna Kozak
vivo: Variable Importance via Oscillations
Provides an easy to calculate local variable importance measure based on Ceteris Paribus profile and global variable importance measure based on Partial Dependence Profiles.
Authors:
vivo_0.2.1.tar.gz
vivo_0.2.1.zip(r-4.5)vivo_0.2.1.zip(r-4.4)vivo_0.2.1.zip(r-4.3)
vivo_0.2.1.tgz(r-4.4-any)vivo_0.2.1.tgz(r-4.3-any)
vivo_0.2.1.tar.gz(r-4.5-noble)vivo_0.2.1.tar.gz(r-4.4-noble)
vivo_0.2.1.tgz(r-4.4-emscripten)vivo_0.2.1.tgz(r-4.3-emscripten)
vivo.pdf |vivo.html✨
vivo/json (API)
NEWS
| # Install 'vivo' in R: |
| install.packages('vivo', repos = c('https://modeloriented.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/modeloriented/vivo/issues
explainable-aiexplainable-artificial-intelligenceexplainable-mlimlinterpretable-machine-learningvariable-importancexai
Last updated 4 years agofrom:dda6ffbb11. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 23 2024 |
| R-4.5-win | OK | Aug 23 2024 |
| R-4.5-linux | OK | Aug 23 2024 |
| R-4.4-win | OK | Aug 23 2024 |
| R-4.4-mac | OK | Aug 23 2024 |
| R-4.3-win | OK | Aug 23 2024 |
| R-4.3-mac | OK | Aug 23 2024 |
Exports:calculate_variable_splitcalculate_weightglobal_variable_importancelocal_variable_importance
Dependencies:clicodetoolscolorspaceDALEXfansifarverforeachggplot2gluegridExtragtableiBreakDowningredientsisobanditeratorskernelshaplabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Example of global variable importance
Rendered fromvignette_apartments_global.Rmdusingknitr::rmarkdownon Aug 23 2024.Last update: 2020-07-01
Started: 2020-07-01
Example of local variable importance
Rendered fromvignette_apartments_local.Rmdusingknitr::rmarkdownon Aug 23 2024.Last update: 2020-07-01
Started: 2020-07-01
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Internal Function for Split Points for Selected Variables | calculate_variable_split |
| Calculated empirical density and weight based on variable split. | calculate_weight |
| Global Variable Importance measure based on Partial Dependence profiles. | global_variable_importance |
| Local Variable Importance measure based on Ceteris Paribus profiles. | local_variable_importance |
| Plot Global Variable Importance measure | plot.global_importance |
| Plot Local Variable Importance measure | plot.local_importance |
