Wrapping the old LogisticRegressionWithLBFGS could be a quick solution for 1.4, and it's not too hard so it's potentially to get into 1.4. In the long term, I will like to implement a new version like https://github.com/apache/spark/commit/6a827d5d1ec520f129e42c3818fe7d0d870dcbef which handles the scaling and intercepts implicitly in objective function so no overhead of creating new transformed dataset.
Sincerely, DB Tsai ------------------------------------------------------- Blog: https://www.dbtsai.com On Wed, Apr 29, 2015 at 1:21 AM, selim namsi <selim.na...@gmail.com> wrote: > 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 >>> > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
