Overview | Required packages | Step 1: Prepare data | Step 2: Define model specifications | Step 3: Create a workflow set | Step 4: Compute boundaries for all models | Step 5: Plot with facets | Step 6: Disagreement map | Using pre-trained workflows
Package: classbound 1.0.0
Vaibhav Manihar
classbound: Visualization for Classification Decision Boundaries
Exploring, visualizing, and comparing classification decision boundaries. Provides a unified interface for fitting classifiers and rendering 2D decision boundary plots, with support for 2D slice visualization (fixing non-plotted dimensions at reference values) and projection-based visualization for high-dimensional data (including Principal Component Analysis (PCA) and tour projections from the 'tourr' package). Supports native 'R' classifiers, 'tidymodels' workflows, and custom user-supplied models via a flexible adapter system. Includes an interactive 'Shiny' application ('explorapp') for visual exploration, data simulation, drawing, model comparison, probability surfaces, and reproducible exports.
Authors:
classbound_1.0.0.tar.gz
classbound_1.0.0.zip(r-4.7-any)classbound_1.0.0.zip(r-4.6-any)
classbound_1.0.0.tar.gz(r-4.7-any)classbound_1.0.0.tar.gz(r-4.6-any)
classbound_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
classbound/json (API)
| # Install 'classbound' in R: |
| install.packages('classbound', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/natydasilva/classbound/issues
Pkgdown/docs site:https://natydasilva.github.io
Datasets:
- data69_1 - Waveform Dataset
Last updated from:88f02dfd94. Checks:1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| source / vignettes | OK | 289 |
Exports:as_classboundboundary_computeboundary_explore_ndboundary_workflow_setclassboundclassbound_paletteexplorappexport_data_csvexport_metrics_csvexport_models_rdsexport_plots_pdfexport_plots_pngfit_modelplot_boundarypredict_adapterpredict_modelpreprocess_datasimu_nsimulate_mixsim
Dependencies:base64encbslibcachemclassclicommonmarkcpp11crosstalkdigestDTevaluatefarverfastmapfontawesomefsggnewscaleggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesshinysourcetoolstinytexvctrsviridisLitewithrxfunxtableyaml
Comparing Classifiers with tidymodels
Last update: 2026-09-30
Started: 2026-09-30
Comparing Models with tourr
Overview | Workflow overview | Step 1: Prepare data | Step 2: Fit models on the same data | Step 3: Generate one shared projection sequence | Step 4: Visualize at one tour frame | Step 5: Compare models at the same frame | Animating the tour (optional) | Key points
Last update: 2026-09-30
Started: 2026-09-30
Custom Predictions and Adapters
The prediction philosophy | 1. Standard classifiers (no extra work needed) | 2. Non-standard models (using predfun) | 3. Officially supported classifiers (built-in adapters) | The adapter contract | 4. Writing a custom S3 adapter
Last update: 2026-09-30
Started: 2026-09-30
Getting Started with classbound
What is classbound? | Installation | Quick start: one-step boundary plot | The modular API | Using different classifiers | Probability surface | Interactive exploration | What's next?
Last update: 2026-09-30
Started: 2026-09-30
High-Dimensional Classification Boundaries
The problem with more than two features | Setup | 2D Slice | Projection | When to use each strategy | High-dimensional data: data69_1
Last update: 2026-09-30
Started: 2026-09-30
Interactive Exploration with Explorapp
Launching Explorapp | Data modes | Import Data | Simulate Data | Draw Data | Model configuration | Visualization modes | Navigate | 2D Slice | Projection | Probability surface | Outlier injection | Performance metrics | Export | Import Workspace Models
Last update: 2026-09-30
Started: 2026-09-30
