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