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Sort of like skipping in recipes, can we put a flag in adjust_predictions_custom() to apply it to new data (i.e. not during the model optimization/evaluation cycle)?
I'd like people to avoid exponentiating predictions prior to metric computations. We could add a similar flag to fit.tailor() that says, "We are in pure new sample prediction mode." We can set that appropriately in tune.
The text was updated successfully, but these errors were encountered:
Sort of like skipping in recipes, can we put a flag in
adjust_predictions_custom()
to apply it to new data (i.e. not during the model optimization/evaluation cycle)?I'd like people to avoid exponentiating predictions prior to metric computations. We could add a similar flag to
fit.tailor()
that says, "We are in pure new sample prediction mode." We can set that appropriately in tune.The text was updated successfully, but these errors were encountered: