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https://issues.apache.org/jira/browse/SPARK-12746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15091487#comment-15091487
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Earthson Lu edited comment on SPARK-12746 at 1/11/16 6:11 AM:
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I could work on this:)
I have some idea:
1. we could implement a more powerful type check api
2. check manually for all the cases
I will choose the latter
was (Author: earthsonlu):
I could work on this:)
I have some idea:
1. we could implement a more powerful type check api
2. check manually for all the case
I will choose the latter
> ArrayType(_, true) should also accept ArrayType(_, false)
> ---------------------------------------------------------
>
> Key: SPARK-12746
> URL: https://issues.apache.org/jira/browse/SPARK-12746
> Project: Spark
> Issue Type: Bug
> Components: ML, SQL
> Affects Versions: 1.6.0
> Reporter: Earthson Lu
>
> I see CountVectorizer has schema check for ArrayType which has
> ArrayType(StringType, true).
> ArrayType(String, false) is just a special case of ArrayType(String, false),
> but it will not pass this type check.
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