Package: sbfc 1.0.3
sbfc: Selective Bayesian Forest Classifier
An MCMC algorithm for simultaneous feature selection and classification, and visualization of the selected features and feature interactions. An implementation of SBFC by Krakovna, Du and Liu (2015), <arxiv:1506.02371>.
Authors:
sbfc_1.0.3.tar.gz
sbfc_1.0.3.zip(r-4.7-x86_64)sbfc_1.0.3.zip(r-4.7-arm64)sbfc_1.0.3.zip(r-4.6-x86_64)sbfc_1.0.3.zip(r-4.6-arm64)sbfc_1.0.3.zip(r-4.5-x86_64)
sbfc_1.0.3.tgz(r-4.6-x86_64)sbfc_1.0.3.tgz(r-4.6-arm64)sbfc_1.0.3.tgz(r-4.5-x86_64)sbfc_1.0.3.tgz(r-4.5-arm64)
sbfc_1.0.3.tar.gz(r-4.7-arm64)sbfc_1.0.3.tar.gz(r-4.7-x86_64)sbfc_1.0.3.tar.gz(r-4.6-arm64)sbfc_1.0.3.tar.gz(r-4.6-x86_64)
sbfc_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sbfc/json (API)
| # Install 'sbfc' in R: |
| install.packages('sbfc', repos = c('https://vkrakovna.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vkrakovna/sbfc/issues
- corral_augmented - Augmented corral data set: synthetic data with correlated attributes augmented with noise features
- heart - Heart disease data set: disease outcomes given health attributes
- madelon - Madelon data set: synthetic data from NIPS 2003 feature selection challenge
Last updated from:50f4f24b6f. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 123 | ||
| linux-devel-x86_64 | OK | 153 | ||
| source / vignettes | OK | 201 | ||
| linux-release-arm64 | OK | 125 | ||
| linux-release-x86_64 | OK | 158 | ||
| macos-release-arm64 | OK | 101 | ||
| macos-release-x86_64 | OK | 383 | ||
| macos-oldrel-arm64 | OK | 109 | ||
| macos-oldrel-x86_64 | OK | 391 | ||
| windows-devel-arm64 | OK | 388 | ||
| windows-devel-x86_64 | OK | 184 | ||
| windows-release-arm64 | OK | 455 | ||
| windows-release-x86_64 | OK | 110 | ||
| windows-oldrel-x86_64 | OK | 130 | ||
| wasm-release | OK | 129 |
Exports:data_discedge_density_plotlogposterior_plotsbfcsbfc_graphsignal_size_plotsignal_var_proportion
Dependencies:base64encbitbit64bslibcachemclicliprcpp11crayonDiagrammeRdigestdiscretizationdplyrevaluatefarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimepillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppRcppArmadilloreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Selective Bayesian Forest Classifier | sbfc-package |
| Augmented corral data set: synthetic data with correlated attributes augmented with noise features | corral_augmented |
| Data set discretization and formatting | data_disc |
| Plots the density of edges in a given group over the MCMC iterations | edge_density_plot |
| Heart disease data set: disease outcomes given health attributes | heart |
| Log posterior plot | logposterior_plot |
| Madelon data set: synthetic data from NIPS 2003 feature selection challenge | madelon |
| Selective Bayesian Forest Classifier (SBFC) algorithm | sbfc |
| SBFC graph | sbfc_graph |
| Trace plot of Group 1 size | signal_size_plot |
| Signal variable proportion | signal_var_proportion |