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.