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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2019/10/31 05:55:00 UTC
[jira] [Assigned] (SPARK-29645) ML add param RelativeError
[ https://issues.apache.org/jira/browse/SPARK-29645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhengruifeng reassigned SPARK-29645:
------------------------------------
Assignee: zhengruifeng
> ML add param RelativeError
> --------------------------
>
> Key: SPARK-29645
> URL: https://issues.apache.org/jira/browse/SPARK-29645
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Minor
>
> {color:#172b4d}It makes sense to expose {{RelativeError}} to end users, since it controls both the{color}
> {color:#172b4d}precision and memory overhead.
> {color}
> {color:#172b4d}[QuantileDiscretizer |https://github.com/apache/spark/compare/master...zhengruifeng:add_relative_err?expand=1#diff-bf4cb764860f82d632ac0730e3d8c605]had added this param, while other algs not yet.{color}
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