[SPARK-23152][ML] - Correctly guard against empty datasets #20321
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| @@ -109,7 +109,7 @@ abstract class Classifier[ | |||
| case None => | |||
| // Get number of classes from dataset itself. | |||
| val maxLabelRow: Array[Row] = dataset.select(max($(labelCol))).take(1) | |||
| if (maxLabelRow.isEmpty) { | |||
| if (maxLabelRow.isEmpty || maxLabelRow(0).get(0) == null) { | |||
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Hi, @tovbinm .
If this is a correctness issue, could you add a new test case for your new contribution?
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anyone? |
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ok to test |
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Test build #86586 has finished for PR 20321 at commit
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Merged to master |
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What changes were proposed in this pull request?
Correctly guard against empty datasets in
org.apache.spark.ml.classification.ClassifierHow was this patch tested?
existing tests