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https://issues.apache.org/jira/browse/SPARK-38239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean R. Owen resolved SPARK-38239.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35554
[https://github.com/apache/spark/pull/35554]
> AttributeError: 'LogisticRegressionModel' object has no attribute '_call_java'
> ------------------------------------------------------------------------------
>
> Key: SPARK-38239
> URL: https://issues.apache.org/jira/browse/SPARK-38239
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Affects Versions: 2.4.0, 3.0.0, 3.1.0, 3.2.0, 3.3.0
> Reporter: Maciej Szymkiewicz
> Assignee: Maciej Szymkiewicz
> Priority: Minor
> Fix For: 3.3.0
>
>
> Trying to invoke {{\_\_repr\_\_}} on
> {{pyspark.mllib.classification.LogisticRegressionModel}} leads to
> {{AttributeError}}:
> {code:python}
> >>> type(model)
> <class 'pyspark.mllib.classification.LogisticRegressionModel'>
> >>> model
> Traceback (most recent call last):
> File /path/to/python3.9/site-packages/IPython/core/formatters.py:698 in
> __call__
> return repr(obj)
> File /path/to/spark/python/pyspark/mllib/classification.py:281 in __repr__
> return self._call_java("toString")
> AttributeError: 'LogisticRegressionModel' object has no attribute '_call_java'
> {code}
> This problem was introduced SPARK-14712, where the method was added, with the
> same implementation, for both {{ml}} and {{mllib}}.
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