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Thanks for this repo!
I wonder if it is possible to extend the BoostingRegressor to work with the data where censoring points yl, yu are varied by observations.
The text was updated successfully, but these errors were encountered:
Yes, this is possible. You basically have to add the option to use arrays instead of numbers for yl and yu in the TobitLossFunction. I currently don't have time to work on this. Contributions are welcome.
Thanks for this repo!
I wonder if it is possible to extend the
BoostingRegressor
to work with the data where censoring pointsyl
,yu
are varied by observations.The text was updated successfully, but these errors were encountered: