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Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2017/05/25 13:44:05 UTC
[jira] [Resolved] (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:all-tabpanel ]
Yanbo Liang resolved SPARK-20768.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
> 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
> Assignee: Yan Facai (颜发才)
> Priority: Minor
> Fix For: 2.2.0
>
>
> 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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