You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/02/16 15:50:18 UTC
[jira] [Commented] (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: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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org