Package: bsnsing 1.0.1
bsnsing: Bsnsing: A Decision Tree Induction Method Based on Recursive Optimal Boolean Rule Composition
The bsnsing package provides functions for training a decision tree classifier, making predictions and generating latex code for plotting. It solves the two-class and multi-class classification problems under the supervised learning paradigm. While building a decision tree, bsnsing uses a Boolean rule involving multiple variables to split a node. Each split rule is identified by solving an optimization problem. Use the bsnsing function to build a tree, the predict function to make predictions and the show function to plot the tree. The paper is at <arxiv:2205.15263>. Source code and more data sets are at <https://github.com/profyliu/bsnsing>.
Authors:
bsnsing_1.0.1.tar.gz
bsnsing_1.0.1.zip(r-4.7-any)bsnsing_1.0.1.zip(r-4.6-any)bsnsing_1.0.1.zip(r-4.5-any)
bsnsing_1.0.1.tgz(r-4.6-any)bsnsing_1.0.1.tgz(r-4.5-any)
bsnsing_1.0.1.tar.gz(r-4.7-any)bsnsing_1.0.1.tar.gz(r-4.6-any)
bsnsing_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bsnsing/json (API)
| # Install 'bsnsing' in R: |
| install.packages('bsnsing', repos = c('https://profyliu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/profyliu/bsnsing/issues
- auto - Auto
- BreastCancer - BreastCancer
- GlaucomaMVF - GlaucomaMVF
- iris - Iris
Last updated from:c6abcc9f4e. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 181 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | WARNING | 136 | ||
| macos-release-arm64 | WARNING | 99 | ||
| macos-oldrel-arm64 | WARNING | 77 | ||
| windows-devel | WARNING | 101 | ||
| windows-release | WARNING | 94 | ||
| windows-oldrel | WARNING | 108 | ||
| wasm-release | OK | 101 |
Exports:binarizebinarize.ybscontrolbslearnbsnsingROC_funcshow.bsnsingshow.mbsnsing
Dependencies:lpSolve
