multi label support in Scala xgboost. about xgboost

[trivialfis]

cc @wbo4958

[wbo4958]

Yeah, seems its doable, but it's may be a little kind of complicated, which may touch many part of jvm packages. Anyway, please try it.

[aniruddhghatpande]

Could you confirm if this will not require any core xgboost library change ? If i add more than 1 label in jvm package would this work smoothly or requires more changes in JVM .

[wbo4958]

I think it requires more changes in JVM packages.

[aniruddhghatpande]

How could i search for python changes so i can mimic them in scala? Also how/where do i find documentation for internal implementation for multi label in xgboost? How does xgboost optimize for all labels in a target ?

[wbo4958]

At present, neither xgboost pyspark nor xgboost jvm package supports multi-labels, so there is no reference implementation for this functionality.

[trivialfis]

We have a Python native implementation that's not yet available for distributed systems. Feel free to look into the sklearn interface for multi label classifier.

[trivialfis]

Closing in favor of #9043 .