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From "Bryan Cutler (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-23244) Incorrect handling of default values when deserializing python wrappers of scala transformers
Date Thu, 08 Feb 2018 20:08:03 GMT

    [ https://issues.apache.org/jira/browse/SPARK-23244?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16357504#comment-16357504
] 

Bryan Cutler commented on SPARK-23244:
--------------------------------------

This is same issue as SPARK-21685 caused by pyspark not differentiating from defaults and
set params when transferring values to Java. I think we can close this and SPARK-23234 also.

> 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}



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