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While the application is not being used, the ML model continually trains itself to improve it's estimation model
As soon as a user wants to use the application the training stops so as to not affect performance
The text was updated successfully, but these errors were encountered:
paulhands
added
task
Something needs to be done that isn't a feature or bugfix
Stretch
Something we would like in the future (if possible)
labels
Jul 20, 2018
AC:
The text was updated successfully, but these errors were encountered: