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
troposphere
isolate
jodconverter
flask-ckeditor
biomart
moxy
nclob
intervention
sql-grant
icon-fonts
forwarding
preprocessor
android-custom-keyboard
kurento-media-server
struts-validation
securepay
elasticsearch-scripting
tkintertable
messagingcenter
git-non-bare-repository
dataform
ns2
uikit-state-preservation
command-history
gradle-experimental
djcelery
graph-drawing
vnc-viewer
qmenubar
pydruid
