williamty

After setting the effect_modifiers to None, it changes to another error: `Traceback (most recent call last): File "D:\program\GRaSP_refute.py", line 92, in refute = model.refute_estimate(estimand, estimate, File "D:\Python\lib\site-packages\dowhy\causal_model.py", line 414, in...

I also met the same error (sorry, the data cannot be provided): /home/fuwai/.local/lib/python3.9/site-packages/supervised/preprocessing/label_binarizer.py:30: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has...

I met this error too. .local/lib/python3.9/site-packages/catboost/core.py:1723: UserWarning: Failed to optimize method "evaluate" in the passed object: Failed in nopython mode pipeline (step: nopython frontend) Untyped global name 'negative_average_precision': Cannot determine...

As it is an AutoML framework, loading models shouldn't be done manually.

is this fixed?

Will this problem be solved in next update? @pplonski Explanation is so important.

it happened to me too. also with tree visualizations. i think maybe it's related to the mission, tree visualizations are not suitable for binary classification.

@apoplexi24 Thank you for your kind reply!! It worked! By the way, I have also changed the code of predict function, setting the 'predict_disable_shape_check' parameter to true: ` def predict_fn(x):...