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https://issues.apache.org/jira/browse/SPARK-23244?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16407507#comment-16407507
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Bryan Cutler commented on SPARK-23244:
--------------------------------------
I looked into this and it is a little bit different because with save/load,
params are only transferred from Java to Python. So the actual problem is in
Scala:
{code:java}
scala> import org.apache.spark.ml.feature.Bucketizer
import org.apache.spark.ml.feature.Bucketizer
scala> val a = new Bucketizer()
a: org.apache.spark.ml.feature.Bucketizer = bucketizer_30c66d09db18
scala> a.isSet(a.outputCol)
res2: Boolean = false
scala> a.save("bucketizer0")
scala> val b = Bucketizer.load("bucketizer0")
b: org.apache.spark.ml.feature.Bucketizer = bucketizer_30c66d09db18
scala> b.isSet(b.outputCol)
res4: Boolean = true{code}
It seems this is being worked on in SPARK-23455, so I'll still close this as a
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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