A possible adaptation of the deprecated TTM operation change (actions/perturbation/what_if.py)
is replace where any string can be replaced with a custom input.
This would require two custom inputs, in fact. It would modify the temp_dataset. It is also similar to cfe, but here the user has full control of what they would insert in place of the original string from the data.
A major limitation is that even prediction is not easily possible, because the entire dataset would have to be recomputed. However, this might still be relevant for a small temp_dataset, e.g. you filter by "spider" and are left with 13 instances for BoolQ. With this scale, it would certainly be possible to compute predictions and explanations on the fly.
A possible adaptation of the deprecated TTM operation
change(actions/perturbation/what_if.py)is
replacewhere any string can be replaced with a custom input.This would require two custom inputs, in fact. It would modify the temp_dataset. It is also similar to
cfe, but here the user has full control of what they would insert in place of the original string from the data.A major limitation is that even prediction is not easily possible, because the entire dataset would have to be recomputed. However, this might still be relevant for a small temp_dataset, e.g. you filter by "spider" and are left with 13 instances for BoolQ. With this scale, it would certainly be possible to compute predictions and explanations on the fly.