You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Marco Gaido (JIRA)" <ji...@apache.org> on 2018/02/08 10:48:00 UTC
[jira] [Comment Edited] (SPARK-23244) Incorrect handling of default
values when deserializing python wrappers of scala transformers
[ https://issues.apache.org/jira/browse/SPARK-23244?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16356786#comment-16356786 ]
Marco Gaido edited comment on SPARK-23244 at 2/8/18 10:47 AM:
--------------------------------------------------------------
maybe we can close this as a duplicate of SPARK-23234. Anyway, IMHO this shows that we do need SPARK-23234.
cc [~mlnick] [~podongfeng] [~bryanc] [~srowen]
was (Author: mgaido):
maybe we can close this as a duplicate of SPARK-23234. Anyway, IMHI this shows that we do need SPARK-23234.
cc [~mlnick] [~podongfeng] [~bryanc] [~srowen]
> Incorrect handling of default values when deserializing python wrappers of scala transformers
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-23244
> URL: https://issues.apache.org/jira/browse/SPARK-23244
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 2.2.1
> Reporter: Tomas Nykodym
> Priority: Minor
>
> Default values are not handled properly when serializing/deserializing python trasnformers which are wrappers around scala objects. It looks like that after deserialization the default values which were based on uid do not get properly restored and values which were not set are set to their (original) default values.
> Here's a simple code example using Bucketizer:
> {code:python}
> >>> from pyspark.ml.feature import Bucketizer
> >>> a = Bucketizer()
> >>> a.save("bucketizer0")
> >>> b = load("bucketizer0")
> >>> a._defaultParamMap[a.outputCol]
> u'Bucketizer_440bb49206c148989db7__output'
> >>> b._defaultParamMap[b.outputCol]
> u'Bucketizer_41cf9afbc559ca2bfc9a__output'
> >>> a.isSet(a.outputCol)
> False
> >>> b.isSet(b.outputCol)
> True
> >>> a.getOutputCol()
> u'Bucketizer_440bb49206c148989db7__output'
> >>> b.getOutputCol()
> u'Bucketizer_440bb49206c148989db7__output'
> {code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org