Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/5913#issuecomment-99640381
This looks good to me. There are two issues we may need to deal with in the
future:
1. Where to put multi-label classifiers in the class hierarchy?
2. How to support distributively stored models? Those models could make
predictions on individual records if the method call is triggered on the driver
node. However, the `predict` method cannot be used in an RDD closure.
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