Plot gallery¶
Every figure here is generated from gp3bayespy workflows. Reproduce the assets with python dev/generate_doc_figures.py.
31visual assets
6supplementary galleries
59canonical articles preserved
Predictive diagnostics¶

binary_roc_curve(); plot_binary_roc()
binary_precision_recall_curve(); plot_binary_precision_recall()
plot_binary_calibration()
plot_binary_threshold_metrics()
plot_prediction_intervals()
plot_predictive_coverage()Open the predictive diagnostics gallery →
Posterior evidence¶

plot_posterior_intervals()
plot_posterior_areas()
plot_posterior_density()
plot_posterior_correlations()
plot_mcmc_quality()Open the posterior evidence gallery →
PSIS-LOO influence¶

plot_loo_pointwise_elpd()
plot_loo_pareto_vs_elpd()
plot_loo_influence_rank()
plot_loo_group_influence()
plot_loo_group_elpd()Open the psis-loo influence gallery →
Sensitivity, design & reproducibility¶

plot_sensitivity_suite_gg()
plot_model_evidence_gg()
plot_backend_parity_gg()
plot_manifest_comparison_gg()
plot_design_support_gg()
plot_missingness_gg()Open the sensitivity, design & reproducibility gallery →
Publication systems¶

plot_diagnostic_dashboard()
plot_reporting_checklist()
plot_model_comparison()
plot_model_weights()
plot_uncertainty_decomposition()
plot_group_effects()Open the publication systems gallery →
Dynamic pupillometry¶

Open the pupillometry gallery →
Reproduce the gallery¶
python dev/generate_doc_figures.py
python dev/generate_doc_figures.py --check
The machine-readable figure manifest is dev/doc_figures_manifest.json.