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 <yblia...@gmail.com>: > LogisticRegression in MLlib(not ML) package supports both multiclass and > multilabel classification. > > > 2015-09-11 16:21 GMT+08:00 Alexis Gillain <alexis.gill...@googlemail.com>: > >> 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 <godo...@gmail.com>: >> >>> Hi, >>> >>> I want to use Mllib for multilabel classification, but I find >>> http://spark.apache.org/docs/latest/mllib-classification-regression.html, >>> it is not what I mean. Is there a way to use multilabel classification? >>> Thanks alot. >>> >>> Best, >>> yasemin >>> >>> -- >>> hiç ender hiç >>> >> >> >> >> -- >> Alexis GILLAIN >> > > -- Alexis GILLAIN
