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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:01:10 UTC
[jira] [Updated] (SPARK-20271) Add FuncTransformer to simplify
custom transformer creation
[ https://issues.apache.org/jira/browse/SPARK-20271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-20271:
---------------------------------
Labels: bulk-closed (was: )
> Add FuncTransformer to simplify custom transformer creation
> -----------------------------------------------------------
>
> Key: SPARK-20271
> URL: https://issues.apache.org/jira/browse/SPARK-20271
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.2.0
> Reporter: yuhao yang
> Priority: Major
> Labels: bulk-closed
>
> Just to share some code I implemented to help easily create a custom Transformer in one line of code w.
> {code} val labelConverter = new FuncTransformer((i: Double) => if (i >= 1) 1 else 0) {code}
> This was used in many of my projects and is pretty helpful (Maybe I'm lazy..). The transformer can be saved/loaded as other transformer and can be integrated into a pipeline normally. It can be used widely in many use cases like conditional conversion(if...else...), , type conversion, to/from Array, to/from Vector and many string ops..
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