[jira] [Resolved] (SPARK-23244) Incorrect handling of default values when deserializing python wrappers of scala transformers

2018-03-20 Thread Bryan Cutler (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-23244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Bryan Cutler resolved SPARK-23244.
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Resolution: Duplicate

> 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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[jira] [Resolved] (SPARK-23244) Incorrect handling of default values when deserializing python wrappers of scala transformers

2018-02-08 Thread Sean Owen (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-23244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen resolved SPARK-23244.
---
Resolution: Duplicate

> 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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