Weichen Xu created SPARK-22005:
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Summary: CrossValidator, TrainValidationSplit dump sub models to
disk when fitting: Python API
Key: SPARK-22005
URL: https://issues.apache.org/jira/browse/SPARK-22005
Project: Spark
Issue Type: New Feature
Components: ML
Affects Versions: 2.3.0
Reporter: Weichen Xu
We add a parameter indicating whether to persist models to disk during training
(default = off). This will use ML persistence to dump models to a directory so
they are available later but do not consume memory.
Note: when persisting the model list, use indices as the sub-model path
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