[jira] [Resolved] (SPARK-24477) Import submodules under pyspark.ml by default

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-24477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-24477.
-----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.4.0

Issue resolved by pull request 21483
[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
>            Assignee: Hyukjin Kwon
>            Priority: Major
>             Fix For: 2.4.0
>
>
> 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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