After reading the examples etc, more generally, i have two questions: 1) What is the best way to stream json data into a machine learning algorithm to minimise latency of receiving date to the result.
Including serialisation into cache from json for vector representation for ml algs, cache setup, datastore style etc. Its unclear from the documentation about this. I'm happy to benchmark different methods, but maybe someone already knows? 2) How does columnstore ml compare to row based ml, and if its better for things like linear regression, is there a comparison? And for both of these, what is the optimal setup (if any) for minimising latency for realtime machine learning, and can the apache ignite infrastructure be modified to achieve this? -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
