Github user smarthi commented on the pull request:
https://github.com/apache/flink/pull/1186#issuecomment-152265442
Suggest that you see how PMML been's done on Oryx 2.0 (PMML in Spark
followed Oryx 2.0). PMML support was discussed various times on the Mahout
project and was never implemented in large part due to lack of actual PMML
usage by Machine Learning Practitioners and Data Scientists.
See this Mahout thread from last year and more specifically to Ted
Dunning's comment in the thread -
http://mail-archives.apache.org/mod_mbox/mahout-dev/201503.mbox/%3CCAJwFCa1%3DAw%2B3G54FgkYdTH%3DoNQBRqfeU-SS19iCFKMWbAfWzOQ%40mail.gmail.com%3E
Given that PMML models could possibly get real huge, its a good practice to
persist them in compressed format. It would also be good to be able to specify
which features/fields are categorical/numeric (via a config file maybe).
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