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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/03/15 02:42:00 UTC

[jira] [Assigned] (SPARK-23690) VectorAssembler should have handleInvalid to handle columns with null values

     [ https://issues.apache.org/jira/browse/SPARK-23690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-23690:
------------------------------------

    Assignee: Apache Spark

> VectorAssembler should have handleInvalid to handle columns with null values
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-23690
>                 URL: https://issues.apache.org/jira/browse/SPARK-23690
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>    Affects Versions: 2.3.0
>            Reporter: yogesh garg
>            Assignee: Apache Spark
>            Priority: Major
>
> VectorAssembler only takes in numeric (and vectors (of numeric?)) columns as an input and returns the assembled vector. It currently throws an error if it sees a null value in any column. This behavior also affects `RFormula` that uses VectorAssembler to assemble numeric columns.



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