Hyperfast

What's Changed
* Fix n_classes_ by salcc in https://github.com/AI-sandbox/HyperFast/pull/8


**Full Changelog**: https://github.com/AI-sandbox/HyperFast/compare/v1.0.4...v1.0.5

- GPU memory improvements for very big datasets and ensembling

**Full Changelog**: https://github.com/AI-sandbox/HyperFast/compare/v1.0.3...v1.0.4

What's Changed
* Optimize memory and improve code by salcc in https://github.com/AI-sandbox/HyperFast/pull/7

New Contributors
* salcc made their first contribution in https://github.com/AI-sandbox/HyperFast/pull/7

**Full Changelog**: https://github.com/AI-sandbox/HyperFast/compare/v1.0.2...v1.0.3

- 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.

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``.