Describe the bug
Some learner's estimate_ate function requires return_ci = True to return ate_lower, ate_upper together with ate. get_ate_ci of the Sensitivity class does not pass return_ci = True to estimate_ate.
To Reproduce
Steps to reproduce the behavior: Run sensitivity_analysis method with a class object Sensitivity(..., learner = XGBTRegressor(...), ...)
It gives
ValueError: not enough values to unpack (expected 3, got 1)
Expected behavior
Get sensitivity analysis result without a ValueError
Screenshots
Learner: XGBTRegressor()
Environment (please complete the following information):
OS: [Ubuntu (Jupyter notebook)]
Python Version: [3.7]
Versions of Major Dependencies (pandas, scikit-learn, cython): [pandas==1.35, scikit-learn==1.0, cython==0.29.34]
Describe the bug Some learner's
estimate_atefunction requiresreturn_ci = Trueto returnate_lower,ate_uppertogether withate.get_ate_ciof theSensitivityclass does not passreturn_ci = Truetoestimate_ate.To Reproduce Steps to reproduce the behavior: Run
sensitivity_analysismethod with a class objectSensitivity(..., learner = XGBTRegressor(...), ...)It gives
ValueError: not enough values to unpack (expected 3, got 1)Expected behavior Get sensitivity analysis result without a ValueError
Screenshots
Learner:
XGBTRegressor()Environment (please complete the following information):
pandas,scikit-learn,cython): [pandas==1.35,scikit-learn==1.0,cython==0.29.34]Additional context None