Hi All How can we use early stopping while training/crossvalidating custom data with NameFinder ? What I want if change in likelihood value or accuracy of model is less than 0.05 between two steps (differ by 5 i.e compare x+5 step output with x step) then training should stop. I could not find anything regarding this in documentation. Can some one please help ?
-- *Thanks & Regards* *Saurabh Jain * *AI Developer* *Active Intelligence * *"* *To do a thing yesterday was the best time . Second best time is today .” *
