Man pages for classbound
Visualization for Classification Decision Boundaries
| as_classbound | Convert a fitted model into a classbound object |
| boundary_compute | Compute the classification decision boundary |
| boundary_explore_nd | Explore high-dimensional classification boundaries |
| boundary_workflow_set | Compute classification boundaries for a workflow_set |
| classbound | Visualize a classification decision boundary |
| classbound-package | classbound: Visualization for Classification Decision... |
| classbound_palette | Generate deterministic colors for classification classes |
| create_boundary_plot | Render a decision boundary plot for the Shiny app |
| data69_1 | Waveform Dataset (UCI) |
| explorapp | Shiny app to visually explore and compare classification... |
| export_config_json | Export current app configuration to JSON |
| export_data_csv | Export data to CSV |
| export_grid_csv | Export grid predictions to CSV |
| export_metrics_csv | Export comparison metrics to CSV |
| export_models_rds | Export fitted models to RDS |
| 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_reproduce_script | Export a reproducibility R script |
| fit_model | Fit a machine learning model |
| generate_outlier | Generate a deterministic extreme outlier based on dataset... |
| plot_boundary | Visualize the classification decision boundary |
| plot.classbound | Plot a classbound model boundary |
| plot.classbound_boundary | Plot a computed boundary |
| predict_adapter | Internal generic for predicting classifier adapters |
| predict_adapter.pprf_classification | Predict using a fitted ppforest2 model |
| predict_adapter.PPtreeclass | Predict using a fitted PPtreeViz model |
| predict_adapter.PPtreeExtclass | Predict using a fitted PPtreeExt model |
| predict_adapter.randomForest | Predict using a fitted randomForest model |
| predict_adapter.rpart | Predict using a fitted rpart model |
| predict.classbound | Predict using a classbound model |
| predict_model | Predict using a fitted classbound model |
| preprocess_data | Preprocess data before model fitting |
| print.classbound | Print a classbound model |
| simulate_mixsim | Simulate data using Gaussian mixture models |
| simu_n | Simulate multivariate normal data for multiple classes |
| summary.classbound | Summarize a classbound model |
