- Include relative meta-features
- Include clustering meta-features
- Change the Decision Tree params to support sparse datasets
- Change license
- Support dataset with weird attribute's names
- Changed the comparison of the
nrNorm
statistical meta-feature
- Add new measures in all groups
- Support to new summarization techniques in post.processing method
- Increase the robustness of the Decision Tree algorithm to imbalanced datasets
- Change in the Decision Tree algorithm to support more Landmarking measures
- Support categorical attributes on the 1NN and eNN measures
- Fix Decision Tree model errors related with minority class with an unique instance
- Support datasets that have columns named with numbers
- Fix harmonic and geometric mean
- General meta-features
- Statistical meta-features
- Discriminant meta-features
- Information theoretical meta-features
- Model based Decision Tree meta-features
- Landmarking meta-features