v0.1.0
First release of mushin — distribution name mushin-py (pip install mushin-py, then import mushin).
Run a sweep, get a labeled dataset back.
- Reproducible experiment workflows on PyTorch Lightning + hydra-zen:
MultiRunMetricsWorkflow,RobustnessCurve,MetricsCallback,HydraDDP. - New
mushin.benchmark.compare: run a standard classification benchmark across trained seeds and get a labeledxarray.Dataset+ significance (Wilcoxon default; Welch / paired-t / Mann-Whitney / Student). Metrics via torchmetrics, stats via scipy. - Python 3.9–3.14.
Carved out of MIT-LL's unmaintained rai_toolbox.mushin; see CHANGELOG.md for details.