Hi All, I got an error while using DecisionTreeModel (my program is written in Java, spark 1.0.1, scala 2.10.1). I have read a local file, loaded it as RDD, and then sent to decisionTree for training. See below for details:
JavaRDD<LabeledPoint> Points = lines.map(new ParsePoint()).cache(); LogisticRegressionModel model = LogisticRegressionWithSGD.train(Points.rdd(),iterations, stepSize); // until here it is working Strategy strategy = new Strategy( ....); DecisionTree decisionTree = new DecisionTree(strategy); DecisionTreeModel decisionTreeModel = decisionTree.train(Points.rdd()); The error is : java.lang.ClassCastException: [Ljava.lang.Object; cannot be cast to [Lorg.apache.spark.mllib.regression.LabeledPoint; Any thoughts? Best regards, Jack
