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Posted to issues@spark.apache.org by "Liang-Chi Hsieh (Jira)" <ji...@apache.org> on 2019/09/10 02:13:00 UTC
[jira] [Resolved] (SPARK-23265) Update multi-column error handling
logic in QuantileDiscretizer
[ https://issues.apache.org/jira/browse/SPARK-23265?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Liang-Chi Hsieh resolved SPARK-23265.
-------------------------------------
Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 20442
[https://github.com/apache/spark/pull/20442]
> Update multi-column error handling logic in QuantileDiscretizer
> ---------------------------------------------------------------
>
> Key: SPARK-23265
> URL: https://issues.apache.org/jira/browse/SPARK-23265
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.3.0
> Reporter: Nick Pentreath
> Assignee: Huaxin Gao
> Priority: Major
> Fix For: 3.0.0
>
>
> SPARK-22397 added support for multiple columns to {{QuantileDiscretizer}}. If both single- and mulit-column params are set (specifically {{inputCol}} / {{inputCols}}) an error is thrown.
> However, SPARK-22799 added more comprehensive error logic for {{Bucketizer}}. The logic for {{QuantileDiscretizer}} should be updated to match. *Note* that for this transformer, it is acceptable to set the single-column param for \{{numBuckets}} when transforming multiple columns, since that is then applied to all columns.
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