Package: ICEbox 1.2.0.9000
ICEbox: Individual Conditional Expectation Plot Toolbox
Implements Individual Conditional Expectation (ICE) plots for visualizing models fitted by supervised learning algorithms. ICE plots refine Friedman's partial dependence plot by graphing the fitted relationship between the predicted response and a feature for individual observations. They reveal variation in fitted values across the feature's range, helping identify where and to what extent interactions and other heterogeneous effects may be present.
Authors:
ICEbox_1.2.0.9000.tar.gz
ICEbox_1.2.0.9000.zip(r-4.7-x86_64)ICEbox_1.2.0.9000.zip(r-4.7-arm64)ICEbox_1.2.0.9000.zip(r-4.6-x86_64)ICEbox_1.2.0.9000.zip(r-4.6-arm64)ICEbox_1.2.0.9000.zip(r-4.5-x86_64)
ICEbox_1.2.0.9000.tgz(r-4.6-x86_64)ICEbox_1.2.0.9000.tgz(r-4.6-arm64)ICEbox_1.2.0.9000.tgz(r-4.5-x86_64)ICEbox_1.2.0.9000.tgz(r-4.5-arm64)
ICEbox_1.2.0.9000.tar.gz(r-4.7-arm64)ICEbox_1.2.0.9000.tar.gz(r-4.7-x86_64)ICEbox_1.2.0.9000.tar.gz(r-4.6-arm64)ICEbox_1.2.0.9000.tar.gz(r-4.6-x86_64)
ICEbox_1.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ICEbox/json (API)
| # Install 'ICEbox' in R: |
| install.packages('ICEbox', repos = c('https://kapelner.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kapelner/icebox/issues
Pkgdown/docs site:https://kapelner.github.io
- WhiteWine - Data concerning white wine.
individual conditional expectationice plotsderivative ice plotsd-ice plotspartial dependence plotsinterpretable machine learningmodel interpretabilityexplainable aifeature effect visualizationinteraction detectionheterogeneous effectsblack-box modelssupervised learningstatistical learningblack-box-modelsdata-visualizationderivative-iceexplainable-aifeature-effectsheterogeneous-effectsice-plotsindividual-conditional-expectationinteraction-detectioninterpretable-machine-learningmachine-learningmodel-interpretabilitypartial-dependencestatistical-learningcppopenmp
Last updated from:916afdcd8b. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 120 | ||
| linux-devel-x86_64 | OK | 188 | ||
| source / vignettes | OK | 157 | ||
| linux-release-arm64 | OK | 116 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 96 | ||
| macos-release-x86_64 | OK | 237 | ||
| macos-oldrel-arm64 | OK | 83 | ||
| macos-oldrel-x86_64 | OK | 230 | ||
| windows-devel-arm64 | OK | 230 | ||
| windows-devel-x86_64 | OK | 159 | ||
| windows-release-arm64 | OK | 197 | ||
| windows-release-x86_64 | OK | 111 | ||
| windows-oldrel-x86_64 | OK | 104 | ||
| wasm-release | OK | 114 |
Exports:additivityLineupbackfitterclusterICEcolSds_cppderivative_cppdiceicemelt_ice_curves_cpprowCenter_cppsg_smooth_cpptransform_ice_curves_cpp
Dependencies:backportscheckmateclicpp11data.tablefarverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Lineup plot for additivity | additivityLineup |
| Backfitting for Additive Models | backfitter |
| Clustering of ICE and d-ICE curves by kmeans. | clusterICE |
| Efficient Column Standard Deviations | colSds_cpp |
| Efficient Numerical Derivative for Matrix (Row-wise) | derivative_cpp |
| Creates an object of class 'dice'. | dice |
| Creates an object of class 'ice'. | ice |
| Melt Matrix to Long Format Vector | melt_ice_curves_cpp |
| Create a plot of a 'dice' object. | plot.dice |
| Plotting of 'ice' objects. | plot.ice |
| Print method for 'dice' objects. | print.dice |
| Print method for 'ice' objects. | print.ice |
| Row-wise Centering | rowCenter_cpp |
| Savitzky-Golay Filter for Matrix (Row-wise) | sg_smooth_cpp |
| Summary function for 'dice' objects. | summary.dice |
| Summary function for 'ice' objects. | summary.ice |
| Probability Transformation | transform_ice_curves_cpp |
| Data concerning white wine. | WhiteWine |