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Similar to safeOptAuc, stops ensembling if accuracy decreases. Consider making the safe functions the defaults, and renaming the old functions fastOpt*.
Then we could have a flag to caretEnsemble for safe=TRUE. If TRUE, we use the safe functions, if FALSE we use the slightly faster non-safe functions.
If there's not a big difference between the safe vs non-safe speed, we get rid of the non-safe ones.
The text was updated successfully, but these errors were encountered:
This shouldn't ever be needed, as I think RMSE is convex. I've never been able to encounter a case where RMSE would converge to worse than the single best model.
Similar to safeOptAuc, stops ensembling if accuracy decreases. Consider making the safe functions the defaults, and renaming the old functions
fastOpt*
.Then we could have a flag to
caretEnsemble
forsafe=TRUE
. IfTRUE
, we use the safe functions, ifFALSE
we use the slightly faster non-safe functions.If there's not a big difference between the safe vs non-safe speed, we get rid of the non-safe ones.
The text was updated successfully, but these errors were encountered: