v0.11.0

✨ Added

• AsymptoticMultiPPRM: a new anytime-valid drift monitor that combines human labels with multiple proxy predictors (plus a matching synthetic dataset generator, generate_stratified_multi_binary_dataset, for testing it).
• Interactive prediction-powered inference (PPI) simulator on the landing page, letting visitors explore the method interactively.
• New user guide sections covering the classical baseline estimators.
• New RAG answer faithfulness (MEMERAG) case study in the documentation.

🔄 Changed

• Renamed AsymptoticClassicalMeanMonitor to AsymptoticClassicalRM, and removed the older EmpiricalPPRM and EmpiricalClassicalMeanMonitor monitors along with their underlying confidence sequence, in favor of the newer asymptotic monitors.
• Simplified the drift monitors' detect methods by removing the metric_lower_bound and metric_upper_bound parameters.
• Renamed the n_total parameter to n_samples across dataset generators for consistency.
• Reorganized the tutorials: split into estimators/ and monitors/ subfolders, and added a monitoring section to the tutorials overview.

🐛 Fixed

• Fixed a color inconsistency in the landing page PPI simulator sliders.

💛 Contributors

Thank you to everyone who contributed to this release: @gmartinon-ed, @imerad, @pravallikamavilla