New
0.2.0
A new feature release:
- first python implementation of multi-label SVM (MLTSVM)
- a general multi-label embedding framework with several embedders supported (LNEMLC, CLEMS)
- balanced k-means clusterer from HOMER implemented
- wrapper for Keras model use in scikit-multilearn