Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1155#issuecomment-48207510
@avulanov
Adding Experimental to the class is sufficient.
The micro* metrics are generally not applied to all labels but a subset of
labels. This is why I want to remove "micro". Then the global precision,
recall, and fMeasure become the same. It is fine to have all of them but could
you update the doc and remove `micro*` from the doc and add a comment to
`recall` and `fMeasure` explaining why they are equal to `precision`.
I will take a look at #1270 , but it may not be able to get into v1.1,
given the fact that we don't have multi-label training in mllib.
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