Hi I am trying to perform Isotonic Regression on a data set with 9 features and a label. When I run the algorithm similar to the way mentioned on MLlib page, I get the error saying
/*error:* overloaded method value run with alternatives: (input: org.apache.spark.api.java.JavaRDD[(java.lang.Double, java.lang.Double, java.lang.Double)])org.apache.spark.mllib.regression.IsotonicRegressionModel <and> (input: org.apache.spark.rdd.RDD[(scala.Double, scala.Double, scala.Double)])org.apache.spark.mllib.regression.IsotonicRegressionModel cannot be applied to (org.apache.spark.rdd.RDD[(scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double, scala.Double)]) val model = new IsotonicRegression().setIsotonic(true).run(training)/ For the may given in the sample code, it looks like it can be done only for dataset with a single feature because run() method can accept only three parameters leaving which already has a label and a default value leaving place for only one variable. So, How can this be done for multiple variables ? Regards, Swaroop -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Isotonic-Regression-run-method-overloaded-Error-tp27313.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org