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https://issues.apache.org/jira/browse/SPARK-26458?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16730188#comment-16730188
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Marco Gaido commented on SPARK-26458:
-------------------------------------
Which is the issue you are encountering? Can you provide a reproducer for your
issue and the current and expected behavior? Thanks.
> 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
> Priority: Major
>
> 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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