Hello. Thanks for the great repository! I am trying to use the regression model for heamolytic HC50 prediction. It definitely is a useful tool. One problem I am experiencing however is an incompatibility with newer versions of scikit-learn, especially v1.4.0 and up. The error I am getting is:
AttributeError: 'DecisionTreeRegressor' object has no attribute 'monotonic_cst'.
This is because the newer versions of sklearn have new attributes, which the older versions do not have. Would it be possible to retrain the model and save it in newer versions of scikit-learn, to ensure continued compatibility?
Thank you
Dimi
Hello. Thanks for the great repository! I am trying to use the regression model for heamolytic HC50 prediction. It definitely is a useful tool. One problem I am experiencing however is an incompatibility with newer versions of scikit-learn, especially v1.4.0 and up. The error I am getting is:
AttributeError: 'DecisionTreeRegressor' object has no attribute 'monotonic_cst'.
This is because the newer versions of sklearn have new attributes, which the older versions do not have. Would it be possible to retrain the model and save it in newer versions of scikit-learn, to ensure continued compatibility?
Thank you
Dimi