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
xml-column
peer-dependencies
tmx
rails-models
queuing
ibm-cloud-speech
cordova-hooks
mahjong
ngcordova
chrome-canary
qtquickcontrols2
autorun
least-squares
bandpass-filter
servlet-container
uppaal
flannbasedmatcher
py4j
nashorn
server-rendering
defineproperty
ssis-2016
phpdbg
angular-file-upload
mysqlbinlog
openvz
qfile
w3c-validation
fiddler-dev
setenv