Following up, this bug with using DecisionTree with Java has been fixed, and this update is in the current release candidate for 1.1. It also include some more Java-friendly constructors trainClassifier() and trainRegressor(). Joseph
On Mon, Jul 21, 2014 at 4:41 PM, Jack Yang <j...@uow.edu.au> wrote: > That is nice. > Thanks Xiangrui. > > -----Original Message----- > From: Xiangrui Meng [mailto:men...@gmail.com] > Sent: Tuesday, 22 July 2014 9:31 AM > To: user@spark.apache.org > Subject: Re: error from DecisonTree Training: > > This is a known issue: > https://issues.apache.org/jira/browse/SPARK-2197 . Joseph is working on > it. -Xiangrui > > On Mon, Jul 21, 2014 at 4:20 PM, Jack Yang <j...@uow.edu.au> wrote: > > So this is a bug unsolved (for java) yet? > > > > > > > > From: Jack Yang [mailto:j...@uow.edu.au] > > Sent: Friday, 18 July 2014 4:52 PM > > To: user@spark.apache.org > > Subject: error from DecisonTree Training: > > > > > > > > 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 > > > > >
