Xiangrui Meng created SPARK-5254:
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Summary: Update the user guide to make clear that spark.mllib is
not being deprecated
Key: SPARK-5254
URL: https://issues.apache.org/jira/browse/SPARK-5254
Project: Spark
Issue Type: Documentation
Reporter: Xiangrui Meng
Assignee: Xiangrui Meng
The current statement in the user guide may deliver confusing messages to
users. spark.ml contains high-level APIs for building ML pipelines. But it
doesn't mean that spark.mllib is being deprecated.
First of all, the pipeline API is in its alpha stage and we need to see more
use cases from the community to stabilizes it, which may take several releases.
Secondly, the components in spark.ml are simple wrappers over spark.mllib
implementations. Neither the APIs or the implementations from spark.mllib are
being deprecated. We expect users use spark.ml pipeline APIs to build their ML
pipelines, but we will keep supporting and adding features to spark.mllib. For
example, there are many features in review at
https://spark-prs.appspot.com/#mllib. So users should be comfortable with using
spark.mllib features and expect more coming. The user guide needs to be updated
to make the message clear.
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