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Posted to issues@spark.apache.org by "duruihuan (JIRA)" <ji...@apache.org> on 2018/12/28 03:40:00 UTC

[jira] [Created] (SPARK-26458) OneHotEncoderModel verifies the number of category values incorrectly when tries to transform a dataframe.

duruihuan created SPARK-26458:
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             Summary: OneHotEncoderModel verifies the number of category values incorrectly when tries to transform a dataframe.
                 Key: SPARK-26458
                 URL: https://issues.apache.org/jira/browse/SPARK-26458
             Project: Spark
          Issue Type: Bug
          Components: ML
    Affects Versions: 2.3.1
            Reporter: duruihuan


When the handleInvalid is set to "keep", then one should not compare the categorySizes of the tranformSchema and the values of the metadata of the dataframe to be transformed. Because there may be more than one invalid values in some columns in the dataframe, which causes exception as described in lines 302-306 in OneHotEncoderEstimator.scala. To be concluded, I think the verifyNumOfValues in the method transformSchema should be removed, which can be found in line 299 in the code.

 



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