[jira] [Commented] (SPARK-33661) Unable to load RandomForestClassificationModel trained in Spark 2.x

["Sean R. Owen (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-33661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17260789#comment-17260789 ] 

Sean R. Owen commented on SPARK-33661:
--------------------------------------

BTW I think this was actually fixed in https://issues.apache.org/jira/browse/SPARK-33398

> Unable to load RandomForestClassificationModel trained in Spark 2.x
> -------------------------------------------------------------------
>
>                 Key: SPARK-33661
>                 URL: https://issues.apache.org/jira/browse/SPARK-33661
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>    Affects Versions: 3.0.1
>            Reporter: Marcus Levine
>            Priority: Major
>
> When attempting to load a RandomForestClassificationModel that was trained in Spark 2.x using Spark 3.x, an exception is raised:
> {code:python}
> ...
>     RandomForestClassificationModel.load('/path/to/my/model')
>   File "/usr/spark/python/lib/pyspark.zip/pyspark/ml/util.py", line 330, in load
>   File "/usr/spark/python/lib/pyspark.zip/pyspark/ml/pipeline.py", line 291, in load
>   File "/usr/spark/python/lib/pyspark.zip/pyspark/ml/util.py", line 280, in load
>   File "/usr/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1305, in __call__
>   File "/usr/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 134, in deco
>   File "<string>", line 3, in raise_from
> pyspark.sql.utils.AnalysisException: No such struct field rawCount in id, prediction, impurity, impurityStats, gain, leftChild, rightChild, split;
> {code}
> There seems to be a schema incompatibility between the trained model data saved by Spark 2.x and the expected data for a model trained in Spark 3.x
> If this issue is not resolved, users will be forced to retrain any existing random forest models they trained in Spark 2.x using Spark 3.x before they can upgrade



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