Could you also print the length of featureSet? I suspect it less than 62. The first argument of Vectors.sparse() is the length of this sparse vector not the length of non-null elements.
Yanbo 2015-12-03 22:30 GMT+08:00 nabegh <nab...@gmail.com>: > I'm trying to run a SVM classifier on unlabeled data. I followed this > < > http://apache-spark-user-list.1001560.n3.nabble.com/MLLib-sparse-vector-td14273.html > > > to build the vectors and checked this > < > https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala#L313 > > > > Now when I make the call to predict, I receive the following error. Any > hints? > > val v = featureRDD.map(f => Vectors.sparse(featureSet.length, f)) > //length = 63 > val predictions = model.predict(v) > println(s"predictions length = ${predictions.collect.length}") > > > Exception in thread "main" org.apache.spark.SparkException: Job aborted due > to stage failure: Task 1 in stage 121.0 failed 4 times, most recent > failure: > Lost task 1.3 in stage 121.0 (TID 233, 10.1.1.63): > java.lang.ArrayIndexOutOfBoundsException: 62 > at > > breeze.linalg.operators.DenseVector_SparseVector_Ops$$anon$98.apply(SparseVectorOps.scala:297) > at > > breeze.linalg.operators.DenseVector_SparseVector_Ops$$anon$98.apply(SparseVectorOps.scala:282) > at > breeze.linalg.operators.BinaryRegistry$class.apply(BinaryOp.scala:60) > at breeze.linalg.VectorOps$$anon$171.apply(Vector.scala:528) > at breeze.linalg.ImmutableNumericOps$class.dot(NumericOps.scala:98) > at breeze.linalg.DenseVector.dot(DenseVector.scala:50) > at > org.apache.spark.mllib.classification.SVMModel.predictPoint(SVM.scala:81) > at > > org.apache.spark.mllib.regression.GeneralizedLinearModel$$anonfun$predict$1$$anonfun$apply$1.apply(GeneralizedLinearAlgorithm.scala:71) > at > > org.apache.spark.mllib.regression.GeneralizedLinearModel$$anonfun$predict$1$$anonfun$apply$1.apply(GeneralizedLinearAlgorithm.scala:71) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at > scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > > org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:909) > at > > org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:909) > at > > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) > at > > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) > at > org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Sparse-Vector-ArrayIndexOutOfBoundsException-tp25556.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 > >
