Shouheng Yi created SPARK-19717:
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Summary: Expanding Spark ML under Different Namespace
Key: SPARK-19717
URL: https://issues.apache.org/jira/browse/SPARK-19717
Project: Spark
Issue Type: Wish
Components: ML, MLlib
Affects Versions: 2.1.0
Reporter: Shouheng Yi
Priority: Minor
This ticket is corresponding to a previous email thread in the dev list: [Spark
Namespace]: Expanding Spark ML under Different Namespace?
The concern is about making some access modifier of some classes/trait from
"private [spark]" to public.
Right now, the options to solve this issues are:
1. write or copy your own implementations
2. work under org.apache, but have some comments to address this issue
Details can be found in the dev list email archive.
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