You are the first one who ever asked this question. I think we have this as an option already on the gis trainer but it is not exposed all the way through.
Please open a jira and I can look at it next week. Jörn On Aug 21, 2017 5:11 PM, "Saurabh Jain" <[email protected]> wrote: > 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 .” * >
