fabsig / KTBoost

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
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KTBoost.BoostingRegressor TypeError: __cinit__() takes exactly 6 positional arguments (7 given) #12

Closed fiwe1601 closed 2 years ago

fiwe1601 commented 2 years ago

Hi, KTBoost seems to have problem with the wrong dependency on scikit-learn again? Both the Regressor and Classifier.

fabsig commented 2 years ago

Thank you for letting me know. I have changed this. It should work now.