https://github.com/scikit-learn/scikit-learn/issues/4587
Is this still on the cards? I'm willing to work on this.
I was thinking on lines of creating a synthetic dataset, using blobs, moon etc
like the clustering example.
For the clustering, I was thinking of using DBSCAN. For the classifier (nai
Hi Mukesh,
I think you are looking for *multi-label classifiers* where a record can be
of multiple classes. According to this page:
http://scikit-learn.org/stable/modules/multiclass.html
The following classifiers support multilabel - Decision Tree, Random
> Forest, Nearest Neighbor and Ridge Regr
