Hi all, Sorry, this is me again with another question.
Maybe I did not search deep enough, but it seems the FlinkML API is still pure batch. If I read https://cwiki.apache.org/confluence/display/FLINK/FlinkML%3A+Vision+and+Roadmap it seems there was the intend to "exploit the streaming nature of Flink, and provide functionality designed specifically for data streams" but from my external point of view, I don't see much happening here. Is there work in progress towards that? I would personally see two use-cases around streaming, first one around updating an existing model that was build in batch, second one would be triggering prediction not through a batch job but in a stream job. Are these things that are in the works? or maybe already feasible despite the API looking like purely batch branded? Thanks, -- Christophe
