Package index

Quick Access

High-level wrapper for the full pipeline in one call.

classbound()

Visualize a classification decision boundary

explorapp()

Shiny app to visually explore and compare classification boundaries for built-in, custom, and tidymodels algorithms in 2D

Programmatic API

Modular functions for fitting, computing, and plotting boundaries.

fit_model()

Fit a machine learning model

boundary_compute()

Compute the classification decision boundary

predict_model()

Predict using a fitted classbound model

predict(<classbound>) predict(<classbound_multi>)

Predict using a classbound model

plot_boundary()

Visualize the classification decision boundary

plot(<classbound>)

Plot a classbound model boundary

plot(<classbound_boundary>)

Plot a computed boundary

Multi-Model Comparison

Functions for comparing multiple classifiers simultaneously.

boundary_workflow_set()

Compute classification boundaries for a workflow_set

boundary_explore_nd()

Explore high-dimensional classification boundaries

Bring Your Own Model

Wrap pre-fitted models and extend the prediction system.

as_classbound()

Convert a fitted model into a classbound object

predict_adapter()

Internal generic for predicting classifier adapters

Simulation

Generate synthetic classification datasets.

simulate_mixsim()

Simulate data using Gaussian mixture models

simu_n()

Simulate multivariate normal data for multiple classes

Visualization Utilities

Color palettes and other visual helpers.

classbound_palette()

Generate deterministic colors for classification classes

Export

Functions for exporting results from the Shiny app.

export_data_csv()

Export data to CSV

export_models_rds()

Export fitted models to RDS

export_metrics_csv()

Export comparison metrics to CSV

export_plots_pdf()

Export ggplot objects to a multi-page PDF

export_plots_png()

Export ggplot objects to individual PNG files in a directory

export_grid_csv()

Export grid predictions to CSV

export_config_json()

Export current app configuration to JSON

export_reproduce_script()

Export a reproducibility R script

Data Preprocessing

Internal preprocessing (exported for custom workflows).

preprocess_data()

Preprocess data before model fitting

S3 Methods

Print and summary methods for classbound objects.

print(<classbound>) print(<classbound_multi>)

Print a classbound model

summary(<classbound>) summary(<classbound_multi>)

Summarize a classbound model

Datasets

Included datasets.

data69_1

Waveform Dataset (UCI)

Package

Package-level documentation.

classbound-package

classbound: Visualization for Classification Decision Boundaries