Simon, Can you elaborate more on this: ' *wrapped up in a batch engine like Spark to takeadvantage of more efficient "mass" scoring.* ' How the mass model wrapped in spark can take advantage of mass scoring?
Thanks Deepak On Fri, Nov 16, 2018 at 9:15 PM Otto Fowler <ottobackwa...@gmail.com> wrote: > That may be the best MAAS explanation I’ve seen Simon. > > > On November 16, 2018 at 10:28:57, Simon Elliston Ball ( > si...@simonellistonball.com) wrote: > > MaaS is designed to wrap model inference (scoring) an event at a time, via > a REST api. As such, running it batch doesn't make a lot of sense, since > each message would be processed individually. Most of the models you're > likely to run in MaaS however, are also likely to be easily batchable, and > are probable better wrapped up in a batch engine like Spark to take > advantage of more efficient "mass" scoring. > > Simon > > On Fri, 16 Nov 2018 at 15:18, deepak kumar <kdq...@gmail.com> wrote: > >> Hi All >> Right now MAAS supports running the model against real time events being >> streamed into metron platform. >> Is there any way to run the models deployed in MAAS on the batch events / >> data that have been indexed into hdfs ? >> If anyone have tried this batch model , please share some insights. >> Thanks >> Deepak. >> >> > > -- > -- > simon elliston ball > @sireb > >
