Package: svmodt 0.1.0
svmodt: Linear SVM-Based Recursive Decision Trees
Implements Support Vector Machine Oblique Decision Trees (SVMODT). Recursively builds classification trees using linear Support Vector Machines (SVM) hyperplanes at each node instead of axis-parallel splits, creating oblique decision boundaries. Features include multiple feature selection methods, dynamic feature subset strategies, class weight support for imbalanced datasets, pruning and feature penalization.
Authors:
svmodt_0.1.0.tar.gz
svmodt_0.1.0.tar.gz(r-4.7-any)svmodt_0.1.0.tar.gz(r-4.6-any)
svmodt_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
svmodt/json (API)
| # Install 'svmodt' in R: |
| install.packages('svmodt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aneeshagarwala/svmodt/issues
Last updated from:ee419fd832. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 190 | ||
| source / vignettes | OK | 222 | ||
| linux-release-x86_64 | OK | 188 | ||
| wasm-release | OK | 173 |
Exports:svm_splittrace_path
Dependencies:BHbriocallrclassclicodetoolscpp11crayondescdiffobje1071evaluatefarverforeachfsFSelectorRcppggplot2gluegtableisobanditeratorsjsonlitelabelinglifecyclemagrittrMASSotelpkgbuildpkgloadpraiseprocessxproxypsR6RColorBrewerRcppRcppArmadillorlangrprojrootS7scalestestthatvctrsviridisLitewaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot method for svmodt_node objects | plot.svmodt_node |
| Predict method for svmodt_node objects | predict.svmodt_node |
| ' Print method for svmodt_node objects | print.svmodt_node |
| Build an Oblique Decision Tree Using SVM Splits | svm_split |
| Trace the prediction path of a sample through an svmodt tree | trace_path trace_path.svmodt_node |
| Wisconsin Diagnostic Breast Cancer Dataset | wdbc |
| Wine Dataset | wine |
