If you mean "multilabel" (predicting multiple label values), then MLlib does not yet support that. You would need to predict each label separately.
If you mean "multiclass" (1 label taking >2 categorical values), then MLlib supports it via LogisticRegression (as DB said), as well as DecisionTree and RandomForest. Joseph On Tue, May 5, 2015 at 1:27 PM, DB Tsai <dbt...@dbtsai.com> wrote: > LogisticRegression in MLlib package supports multilable classification. > > Sincerely, > > DB Tsai > ------------------------------------------------------- > Blog: https://www.dbtsai.com > > > On Tue, May 5, 2015 at 1:13 PM, peterg <pe...@garbers.me> wrote: > > Hi all, > > > > I'm looking to implement a Multilabel classification algorithm but I am > > surprised to find that there are not any in the spark-mllib core > library. Am > > I missing something? Would someone point me in the right direction? > > > > Thanks! > > > > Peter > > > > > > > > -- > > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Multilabel-Classification-in-spark-tp22775.html > > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > > For additional commands, e-mail: user-h...@spark.apache.org > > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
