[jira] [Created] (SPARK-15096) LogisticRegression MultiClassSummarizer numClasses can fail if no valid labels are found

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

Joseph K. Bradley created SPARK-15096:
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             Summary: 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
            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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