petkomat / unsupervised_ranking Goto Github PK
View Code? Open in Web Editor NEWEnseble- and Distance-based Feature Ranking and Selection for Unsupervised Learning
Enseble- and Distance-based Feature Ranking and Selection for Unsupervised Learning
iโd like to cite it, so need the paper.
Once we resolve #2, create Python package.
Code uses clus.jar, where feature importances are actually computed (this was the only general-enough implementation of tree ensembles and Relief).
We should
sklearn.ensemble.forest import _generate_unsampled_indices
- take care of the future scikit versions where the method will be migrated to sklear.ensemble
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