I'm working on an application that is a "predictive-model-as-a-service", structured as follows: train a model offline periodically upload model parameters to a
posthog
roblox
fstab
vue-carbon
nsq
service-fabric-actor
t4
uicontainerview
grand-central-dispatch
nsxmlparser
datastax-enterprise
luks
django-1.10
cjuidialog
scopes
placement-new
mruby
spring-webclient
dirty-checking
pykinect
zeromq
blockingcollection
default-parameters
ohai-gem
hadoop-yarn
columnname
coinmarketcap
drop-duplicates
eventqueue
camunda-modeler
