HyperFast v1.0.6 - sklearn 1.6.1 compatibility

[1.0.6] - 2025-03-04

Fixed

• Updated __sklearn_tags__ for scikit-learn 1.6.1 compatibility
• Restricted scikit-learn dependency to <1.7

v1.0.5

What's Changed

• Fix n_classes_ by @salcc in #8

Full Changelog: v1.0.4...v1.0.5

v1.0.4

• GPU memory improvements for very big datasets and ensembling

Full Changelog: v1.0.3...v1.0.4

v1.0.3

What's Changed

• Optimize memory and improve code by @salcc in #7

New Contributors

• @salcc made their first contribution in #7

Full Changelog: v1.0.2...v1.0.3

Release 1.0.2

• Added stratify sampling option – use for imbalanced datasets.
• Added feature bagging option – use for very high-dimensional datasets, e.g., >3000 features, together with ensembling.

v1.0.0

In this new release we:

• Improved compatibility with the scikit-learn API.
• Set cat_features when initializing the model, not in fit().
• Allow categorical features encoded as strings.
• Fixed some minor bugs.
• Improved user experience: faster model loading (from cache) when re-initializing; model path can be specified in custom_path.