Problem about build a class "Why"

[Vihagle]

Please make sure that this is a bug.

System information

• OS Platform and Distribution (e.g., CentOS 7.6):
• Python version:3.9.12
• YLearn version:0.1.2
• Other Python packages(run pip list):

Describe the current behavior

• I build a class "Why()", and input a estimate instance "t = TLearner(model=xgb.XGBRegressor())", but when I fit and then get bug, show as below: t = TLearner(model=xgb.XGBRegressor()) why = Why(estimator = t,random_state=2022) why.fit(data, outcome, treatment = treatment)

Describe the expected behavior

• It should run successfully

Standalone code to reproduce the issue Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Jupyter notebook.

Are you willing to submit PR?(Yes/No)

• Yes

Other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

[lixfz]

This issue was fixed with commit https://github.com/DataCanvasIO/YLearn/commit/e1d47006c56daff455bae5e58f8636584f804e22 .

As a workaround before we release next version, create Why instance with code below:

why=Why(estimator='meta_leaner',
    estimator_options=dict(leaner='t',model=xgb.XGBRegressor())