Thank you for your Answer! Yes I would like to work on it. Selim
On Mon, Apr 27, 2015 at 5:23 AM Joseph Bradley <jos...@databricks.com> wrote: > Unfortunately, the Pipelines API doesn't have multiclass logistic > regression yet, only binary. It's really a matter of modifying the current > implementation; I just added a JIRA for it: > https://issues.apache.org/jira/browse/SPARK-7159 > > You'll need to use the old LogisticRegression API to do multiclass for > now, until that JIRA gets completed. (If you're interested in doing it, > let me know via the JIRA!) > > Joseph > > On Fri, Apr 24, 2015 at 3:26 AM, Selim Namsi <selim.na...@gmail.com> > wrote: > >> Hi, >> >> I just started using spark ML pipeline to implement a multiclass >> classifier >> using LogisticRegressionWithLBFGS (which accepts as a parameters number of >> classes), I followed the Pipeline example in ML- guide and I used >> LogisticRegression class which calls LogisticRegressionWithLBFGS class : >> >> val lr = new LogisticRegression().setMaxIter(10).setRegParam(0.01) >> >> the problem is that LogisticRegression doesn't take numClasses as >> parameters >> >> Any idea how to solve this problem? >> >> Thanks >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Multiclass-classification-using-Ml-logisticRegression-tp22644.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 >> >>
