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Posted to issues@spark.apache.org by "Aditya (JIRA)" <ji...@apache.org> on 2016/11/05 16:27:58 UTC
[jira] [Commented] (SPARK-18268) ALS.run fail with
UnsupportedOperationException if run on an empty ratings RDD
[ https://issues.apache.org/jira/browse/SPARK-18268?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15639931#comment-15639931 ]
Aditya commented on SPARK-18268:
--------------------------------
how do you assign an issue?
> 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}}.
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