I don't really know how to create JIRA :( Specifically, the code I commented out are:
//val prediction = model.predict(test.map(_.features)) //val predictionAndLabel = prediction.zip(test.map(_.label)) //val prediction = model.predict(training.map(_.features)) //val predictionAndLabel = prediction.zip(training.map(_.label)) //val metrics = new BinaryClassificationMetrics(predictionAndLabel) //println(s"Test areaUnderPR = ${metrics.areaUnderPR()}.") //println(s"Test areaUnderROC = ${metrics.areaUnderROC()}.") in examples/src/main/scala/org/apache/spark/examples/mllib/BinaryClassification.scala. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Error-when-testing-with-large-sparse-svm-tp9592p10010.html Sent from the Apache Spark User List mailing list archive at Nabble.com.