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The goal for this package is to seamlessly interact with MLJ. To that end all conformal models implement the compulsory MMI.fit and MMI.predict methods (following guidelines set out here).
With respect to downstream tasks (in particular evaluation) we are facing a problem: predictions for standard conformal classifiers are set-valued. Currently MLJ supports Interval-valued predictions, but not Sets (see related discussion #20).
A long-term goal is to align MLJ and this package. Any thoughts/comments/help welcome!
The text was updated successfully, but these errors were encountered:
The goal for this package is to seamlessly interact with MLJ. To that end all conformal models implement the compulsory
MMI.fit
andMMI.predict
methods (following guidelines set out here).With respect to downstream tasks (in particular evaluation) we are facing a problem: predictions for standard conformal classifiers are set-valued. Currently MLJ supports
Interval
-valued predictions, but notSets
(see related discussion #20).A long-term goal is to align MLJ and this package. Any thoughts/comments/help welcome!
The text was updated successfully, but these errors were encountered: