Package: EIX 1.1
Ewelina Karbowiak
EIX: Explain Interactions in 'XGBoost'
Structure mining from 'XGBoost' and 'LightGBM' models. Key functionalities of this package cover: visualisation of tree-based ensembles models, identification of interactions, measuring of variable importance, measuring of interaction importance, explanation of single prediction with break down plots (based on 'xgboostExplainer' and 'iBreakDown' packages). To download the 'LightGBM' use the following link: <https://github.com/Microsoft/LightGBM>. 'EIX' is a part of the 'DrWhy.AI' universe.
Authors:
EIX_1.1.tar.gz
EIX_1.1.zip(r-4.5)EIX_1.1.zip(r-4.4)EIX_1.1.zip(r-4.3)
EIX_1.1.tgz(r-4.5-any)EIX_1.1.tgz(r-4.4-any)EIX_1.1.tgz(r-4.3-any)
EIX_1.1.tar.gz(r-4.5-noble)EIX_1.1.tar.gz(r-4.4-noble)
EIX_1.1.tgz(r-4.4-emscripten)EIX_1.1.tgz(r-4.3-emscripten)
EIX.pdf |EIX.html✨
EIX/json (API)
| # Install 'EIX' in R: |
| install.packages('EIX', repos = c('https://modeloriented.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/modeloriented/eix/issues
- HR_data - Why are our best and most experienced employees leaving prematurely?
- titanic_data - Passengers and Crew on the RMS Titanic
Last updated 4 years agofrom:66f1c981b5. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 09 2025 |
| R-4.5-win | OK | Feb 09 2025 |
| R-4.5-mac | OK | Feb 09 2025 |
| R-4.5-linux | OK | Feb 09 2025 |
| R-4.4-win | OK | Feb 09 2025 |
| R-4.4-mac | OK | Feb 09 2025 |
| R-4.3-win | OK | Feb 09 2025 |
| R-4.3-mac | OK | Feb 09 2025 |
Exports:importanceinteractionslollipopwaterfall
Dependencies:base64encbslibcachemclicodetoolscolorspacecpp11DALEXdata.tabledatawizarddigestdplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggiraphggiraphExtraggplot2ggrepelgluegridExtragtablehighrhtmltoolshtmlwidgetsiBreakDowningredientsinsightisobanditeratorsjquerylibjsonlitekernelshapknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellmycornlmepillarpkgconfigplyrppcorpurrrR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownsassscalessjlabelledsjmiscstringistringrsystemfontstibbletidyrtidyselecttinytexutf8uuidvctrsviridisLitewithrxfunxgboostyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EIX package | EIX-package |
| Why are our best and most experienced employees leaving prematurely? | HR_data |
| Importance of variables and interactions in the model | importance |
| Importance of interactions and pairs in the model | interactions |
| Tables needed for lollipop plot | lollipop |
| Plot importance measures | plot.importance |
| Plot importance of interactions or pairs | plot.interactions |
| Visualiation of the model | plot.lollipop |
| Passengers and Crew on the RMS Titanic | titanic_data |
| Explain prediction of a single observation | waterfall |
