+ zaleslaw.sin@
Hi,
It seems that for some reason we've missed this thread (something with nabble maybe?).
Maybe we could ask Alexey Zinoviev to have a look at this one if he is available.
Thanks a lot in advance.
13.03.2021, 16:36, "rothnorton" <rothnor...@yahoo.com>:
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/
--
Warm Regards,
Vladimir Pligin
