v0.4.1

[0.4.1] - 2026-07-13

Added

• Added a runnable scikit-learn sweep example (examples/sklearn_sweep.py) demonstrating that the framework-agnostic MultiRunMetricsWorkflow wraps non-Lightning models (here LogisticRegression) and still returns a labeled xarray.Dataset. scikit-learn is a dev-only dependency for the example and its test; the package itself has no scikit-learn dependency.

Misc

• Documentation: add a "Frameworks: Lightning-first, sweep layer agnostic" section to Core concepts, clarifying that the sweep->dataset workflow wraps any framework (scikit-learn, XGBoost, ...) while compare/auto-tuning/HydraDDP are PyTorch/Lightning-specific.
• Documentation: add a Changelog page to the docs site that embeds CHANGELOG.md (self-maintaining, no duplication).
• Documentation: add an API reference page for the auto-tuning helpers (tune_batch_size, tune_learning_rate), which had a usage guide but no auto-generated API docs.
• Documentation: announce the 0.4.0 release with a "What's new" highlights callout on the docs home page.
• Documentation: refresh the README for 0.4.0 — add auto-tuning and the task API/batteries to the feature list, note the framework-agnostic sweep layer (scikit-learn example), and fix the stale viz extra description that referenced the now-deprecated RobustnessCurve.