- Add iwss and true random (only one combination generated) feature selection
- Update docs and source comments
- Remove obsolete binder links
1.2.1
Add feature selection to node splits: f-value, mutual information, cfs and fcbf
1.2
1.1
Added the following features: * libsvm linear kernel * normalization in a per node basis * feature selection based on mutual information w.r.t. the label * feature selection based on f-values ranking * implement one versus one strategy in multi class
1.0
Versión utilizada en la experimentación referida en el paper "STree: a single multi-class oblique decision tree based on support vector machines."