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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/02/16 15:50:18 UTC
[jira] [Assigned] (SPARK-13340) [ML] PolynomialExpansion and
Normalizer should validate input type
[ https://issues.apache.org/jira/browse/SPARK-13340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-13340:
------------------------------------
Assignee: Apache Spark
> [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
> Assignee: Apache Spark
> 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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