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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24477) Import submodules under pyspark.ml by default
Date Thu, 07 Jun 2018 05:05:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24477?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16504247#comment-16504247
] 

Apache Spark commented on SPARK-24477:
--------------------------------------

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/21483

> Import submodules under pyspark.ml by default
> ---------------------------------------------
>
>                 Key: SPARK-24477
>                 URL: https://issues.apache.org/jira/browse/SPARK-24477
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>    Affects Versions: 2.4.0
>            Reporter: Xiangrui Meng
>            Priority: Major
>
> Right now, we do not import submodules under pyspark.ml by default. So users cannot do
> {code}
> from pyspark import ml
> kmeans = ml.clustering.KMeans(...)
> {code}
> I create this JIRA to discuss if we should import the submodules by default. It will
change behavior of
> {code}
> from pyspark.ml import *
> {code}
> But it simplifies unnecessary imports.
> cc [~hyukjin.kwon]



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