Do you mean by running a model on every label ?
That's another solution of course.
If you mean LogisticRegression natively "supports" multilabel, can you
provide me some references. From what I see in the code it uses LabeledPoint
which has only one label.
2015-09-11 21:54 GMT+08:00 Yanbo Liang :
LogisticRegression in MLlib(not ML) package supports both multiclass
and multilabel classification.
2015-09-11 16:21 GMT+08:00 Alexis Gillain :
> You can try these packages for adaboost.mh :
>
> https://github.com/BaiGang/spark_multiboost (scala)
> or
> https://github.com/tizfa/sparkboost (java)
You can try these packages for adaboost.mh :
https://github.com/BaiGang/spark_multiboost (scala)
or
https://github.com/tizfa/sparkboost (java)
2015-09-11 15:29 GMT+08:00 Yasemin Kaya :
> Hi,
>
> I want to use Mllib for multilabel classification, but I find
> http://spark.apache.org/docs/latest/
