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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/10/20 04:39:00 UTC
[jira] [Updated] (SPARK-33188) PipelineModel load resulting in
error
[ https://issues.apache.org/jira/browse/SPARK-33188?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-33188:
---------------------------------
Component/s: ML
> PipelineModel load resulting in error
> -------------------------------------
>
> Key: SPARK-33188
> URL: https://issues.apache.org/jira/browse/SPARK-33188
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
> Affects Versions: 3.0.1
> Environment: Spark 3.0.1
> Python 3.6.8
> numpy 1.18.5
> Reporter: rohit agarwal
> Priority: Minor
>
> Steps to reproduce:
> # Define pipeline : Pipeline(stages=[discretizer, one_hot_encoder, cv1, cv2, assembler])
> # Save PipelineModel : PipelineModel.write().save('/path')
> # Load PipelineModel : PipelineModel.load('/path')
> Getting following error:
> TypeError: array() argument 1 must be a unicode character, not bytes
> Error is in PickleSerializer class in park-3.0.1-bin-hadoop2.7/python/pyspark/serializers.py
> Changing pickle.loads(obj, encoding=encoding) to pickle.loads(obj) resolves it.
>
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