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
