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https://issues.apache.org/jira/browse/SPARK-20729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-20729:
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Labels: bulk-closed (was: )
> Reduce boilerplate in Spark ML models
> -------------------------------------
>
> Key: SPARK-20729
> URL: https://issues.apache.org/jira/browse/SPARK-20729
> Project: Spark
> Issue Type: Improvement
> Components: ML, SparkR
> Affects Versions: 2.2.0
> Reporter: Maciej Szymkiewicz
> Priority: Major
> Labels: bulk-closed
>
> Currently we implement both {{predict}} and {{write.ml}} for ML wrappers,
> although R code is virtually identical and all the model specific logic is
> handled by Scala wrappers.
> Since we use S4 classes we can extract these functionalities into separate
> traits.
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