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Posted to issues@spark.apache.org by "Yan Facai (颜发才 JIRA)" <ji...@apache.org> on 2017/05/18 09:00:12 UTC
[jira] [Comment Edited] (SPARK-20768) PySpark FPGrowth does not
expose numPartitions (expert) param
[ https://issues.apache.org/jira/browse/SPARK-20768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16015448#comment-16015448 ]
Yan Facai (颜发才) edited comment on SPARK-20768 at 5/18/17 8:59 AM:
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It seems easy, I can work on it.
However, I'm on holiday this weekend. Is it OK to wait one week?
was (Author: facai):
It seems easy, I can work on it.
> PySpark FPGrowth does not expose numPartitions (expert) param
> --------------------------------------------------------------
>
> Key: SPARK-20768
> URL: https://issues.apache.org/jira/browse/SPARK-20768
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Affects Versions: 2.2.0
> Reporter: Nick Pentreath
> Priority: Minor
>
> The PySpark API for {{FPGrowth}} does not expose the {{numPartitions}} param. While it is an "expert" param, the general approach elsewhere is to expose these on the Python side (e.g. {{aggregationDepth}} and intermediate storage params in {{ALS}})
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