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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2018/06/06 18:20:00 UTC
[jira] [Updated] (SPARK-24477) Import submodules under pyspark.ml
by default
[ https://issues.apache.org/jira/browse/SPARK-24477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-24477:
----------------------------------
Description:
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]
was:
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}
cc [~hyukjin.kwon]
> 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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