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https://issues.apache.org/jira/browse/SPARK-12711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-12711:
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    Assignee: Grzegorz Chilkiewicz

> ML StopWordsRemover does not protect itself from column name duplication
> ------------------------------------------------------------------------
>
>                 Key: SPARK-12711
>                 URL: https://issues.apache.org/jira/browse/SPARK-12711
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, MLlib
>    Affects Versions: 1.6.0
>            Reporter: Grzegorz Chilkiewicz
>            Assignee: Grzegorz Chilkiewicz
>            Priority: Trivial
>              Labels: ml, mllib, newbie, suggestion
>             Fix For: 1.6.1, 2.0.0
>
>
> At work we were 'taking a closer look' at ML transformers&estimators and I 
> spotted that anomally.
> On first look, resolution looks simple:
> Add to StopWordsRemover.transformSchema line (as is done in e.g. 
> PCA.transformSchema, StandardScaler.transformSchema, 
> OneHotEncoder.transformSchema):
> {code}
> require(!schema.fieldNames.contains($(outputCol)), s"Output column 
> ${$(outputCol)} already exists.")
> {code}
> Am I correct? Is that a bug?    If yes - I am willing to prepare an 
> appropriate pull request.
> Maybe a better idea is to make use of super.transformSchema in 
> StopWordsRemover (and possibly in all other places)?
> Links to files at github, mentioned above:
> https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/StopWordsRemover.scala#L147
> https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/Transformer.scala#L109-L111
> https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/StandardScaler.scala#L101-L102
> https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/PCA.scala#L138-L139
> https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/feature/OneHotEncoder.scala#L75-L76



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