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Sean Owen commented on SPARK-18268: ----------------------------------- We don't generally assign issues. You can just work on it. > ALS.run fail with UnsupportedOperationException if run on an empty ratings RDD > ------------------------------------------------------------------------------ > > Key: SPARK-18268 > URL: https://issues.apache.org/jira/browse/SPARK-18268 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 2.0.1 > Reporter: Mikael Ståldal > Priority: Minor > > {{ALS.run(RDD\[Rating\])}} fail with UnsupportedOperationException if run on > an empty ratings RDD: > {code} > java.lang.UnsupportedOperationException: empty collection > at org.apache.spark.rdd.RDD$$anonfun$first$1.apply(RDD.scala:1340) > ~[spark-core_2.11-2.0.1.jar:2.0.1] > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > ~[spark-core_2.11-2.0.1.jar:2.0.1] > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > ~[spark-core_2.11-2.0.1.jar:2.0.1] > at org.apache.spark.rdd.RDD.withScope(RDD.scala:358) > ~[spark-core_2.11-2.0.1.jar:2.0.1] > at org.apache.spark.rdd.RDD.first(RDD.scala:1337) > ~[spark-core_2.11-2.0.1.jar:2.0.1] > at > org.apache.spark.mllib.recommendation.MatrixFactorizationModel.validateFeatures(MatrixFactorizationModel.scala:68) > ~[spark-mllib_2.11-2.0.1.jar:2.0.1] > at > org.apache.spark.mllib.recommendation.MatrixFactorizationModel.<init>(MatrixFactorizationModel.scala:63) > ~[spark-mllib_2.11-2.0.1.jar:2.0.1] > at org.apache.spark.mllib.recommendation.ALS.run(ALS.scala:279) > ~[spark-mllib_2.11-2.0.1.jar:2.0.1] > {code} > This also affects {{RDD.train}} and {{RDD.trainImplicit}}. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org