FLAML
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display an estimation of the best objective that can be expected from search
Discussed in https://github.com/microsoft/FLAML/discussions/311
Originally posted by jezerro November 24, 2021 Hello, im working on a gesture recognition app that uses tabular data. As time passes im adding more gestures and its hard having to trial-and-error the balance between training time and samples per label.
It would be very helpful if the system decided how much time to run automatically and show a message to increase samples when they are not enough
Applicable to both AutoML.fit() and tune.run().