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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/05/07 00:10:12 UTC
[jira] [Assigned] (SPARK-15096) LogisticRegression
MultiClassSummarizer numClasses can fail if no valid labels are found
[ https://issues.apache.org/jira/browse/SPARK-15096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-15096:
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Assignee: Apache Spark
> LogisticRegression MultiClassSummarizer numClasses can fail if no valid labels are found
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-15096
> URL: https://issues.apache.org/jira/browse/SPARK-15096
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.0.0
> Reporter: Joseph K. Bradley
> Assignee: Apache Spark
> Priority: Minor
>
> LogisticRegression.train calls labelSummarizer.histogram before it calls labelSummarizer.countInvalid: [https://github.com/apache/spark/blob/f5623b460224ce363316c63f5d28947215078fc5/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala#L292] But if there are no valid labels, it is possible to get an Exception from empty.max when numClasses is called here: [https://github.com/apache/spark/blob/f5623b460224ce363316c63f5d28947215078fc5/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala#L751]
> Proposed fix: We should fix numClasses to throw a better exception: [https://github.com/apache/spark/blob/f5623b460224ce363316c63f5d28947215078fc5/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala#L747]
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