Changelog

0.3.0

Fixed

• Bayesian bootstrap reproducibility bug.
• Studentized interval quantile ordering.
• Over-aggressive batch sizing heuristic.
• Memory-heavy jackknife implementation.
• Time-series sieve implementation performance bottleneck.
• Misleading unimplemented CUDA backend story.

Added

• BootstrapCV for scikit-learn.
• pandas accessor for Series and DataFrame.
• Expanded README examples and optional dependency model.
• New notebook/documentation directions for ML metrics, A/B testing, and time series.