Package: modelStudio 3.1.2.9000
Hubert Baniecki
modelStudio: Interactive Studio for Explanatory Model Analysis
Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive model explanations in the form of a serverless HTML site with only one line of code. This tool is model-agnostic, therefore compatible with most of the black-box predictive models and frameworks. The main function computes various (instance and model-level) explanations and produces a customisable dashboard, which consists of multiple panels for plots with their short descriptions. It is possible to easily save the dashboard and share it with others. 'modelStudio' facilitates the process of Interactive Explanatory Model Analysis introduced in Baniecki et al. (2023) <doi:10.1007/s10618-023-00924-w>.
Authors:
modelStudio_3.1.2.9000.tar.gz
modelStudio_3.1.2.9000.zip(r-4.5)modelStudio_3.1.2.9000.zip(r-4.4)modelStudio_3.1.2.9000.zip(r-4.3)
modelStudio_3.1.2.9000.tgz(r-4.4-any)modelStudio_3.1.2.9000.tgz(r-4.3-any)
modelStudio_3.1.2.9000.tar.gz(r-4.5-noble)modelStudio_3.1.2.9000.tar.gz(r-4.4-noble)
modelStudio_3.1.2.9000.tgz(r-4.4-emscripten)modelStudio_3.1.2.9000.tgz(r-4.3-emscripten)
modelStudio.pdf |modelStudio.html✨
modelStudio/json (API)
NEWS
| # Install 'modelStudio' in R: |
| install.packages('modelStudio', repos = c('https://modeloriented.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/modeloriented/modelstudio/issues
- happiness_test - World Happiness Report
- happiness_train - World Happiness Report
aiexplainableexplainable-aiexplainable-machine-learningexplanatory-model-analysishumanimlinteractiveinteractivityinterpretabilityinterpretableinterpretable-machine-learninglearningmachinemodelmodel-visualizationvisualizationxai
Last updated 1 years agofrom:62d23a802f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 24 2024 |
| R-4.5-win | OK | Oct 24 2024 |
| R-4.5-linux | OK | Oct 24 2024 |
| R-4.4-win | OK | Oct 24 2024 |
| R-4.4-mac | OK | Oct 24 2024 |
| R-4.3-win | OK | Oct 24 2024 |
| R-4.3-mac | OK | Oct 24 2024 |
Exports:modelStudioms_merge_observationsms_optionsms_update_observationsms_update_options
Dependencies:base64encbslibcachemclicodetoolscolorspacecrayonDALEXdigestevaluatefansifarverfastmapfontawesomeforeachfsggplot2gluegridExtragtablehighrhmshtmltoolshtmlwidgetsiBreakDowningredientsisobanditeratorsjquerylibjsonlitekernelshapknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigprettyunitsprogressr2d3R6rappdirsRColorBrewerrlangrmarkdownrstudioapisassscalestibbletinytexutf8vctrsviridisLitewithrxfunyaml
modelStudio - perks and features
Rendered fromms-perks-features.Rmdusingknitr::rmarkdownon Oct 24 2024.Last update: 2021-07-08
Started: 2020-04-11
modelStudio - R & Python examples
Rendered fromms-r-python-examples.Rmdusingknitr::rmarkdownon Oct 24 2024.Last update: 2021-07-08
Started: 2020-04-11
modelStudio in R Markdown HTML
Rendered fromms-rmarkdown.Rmdusingknitr::rmarkdownon Oct 24 2024.Last update: 2021-07-09
Started: 2021-07-09
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| World Happiness Report | happiness_test happiness_train |
| Interactive Studio for Explanatory Model Analysis | modelStudio modelStudio.explainer |
| Merge the observations of modelStudio objects | ms_merge_observations |
| Modify default options and pass them to modelStudio | ms_options |
| Update the observations of a modelStudio object | ms_update_observations |
| Update the options of a modelStudio object | ms_update_options |
