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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-13340) [ML] PolynomialExpansion and Normalizer should validate input type
Date Tue, 16 Feb 2016 14:50:18 GMT

    [ https://issues.apache.org/jira/browse/SPARK-13340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15148696#comment-15148696
] 

Apache Spark commented on SPARK-13340:
--------------------------------------

User 'grzegorz-chilkiewicz' has created a pull request for this issue:
https://github.com/apache/spark/pull/11218

> [ML] PolynomialExpansion and Normalizer should validate input type
> ------------------------------------------------------------------
>
>                 Key: SPARK-13340
>                 URL: https://issues.apache.org/jira/browse/SPARK-13340
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, MLlib
>    Affects Versions: 1.6.0, 2.0.0
>            Reporter: Grzegorz Chilkiewicz
>            Priority: Trivial
>
> PolynomialExpansion and Normalizer should override UnaryTransformer::validateInputType
> Now, in case of trying to operate on String column:
> java.lang.ClassCastException: java.lang.String cannot be cast to org.apache.spark.mllib.linalg.Vector
> is thrown, but:
> java.lang.IllegalArgumentException: requirement failed: Input type must be VectorUDT
but got StringType
> will be more clear and adequate



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