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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]
Additional context
None
The text was updated successfully, but these errors were encountered:
Describe the bug
Some learner's
estimate_ate
function requiresreturn_ci = True
to returnate_lower
,ate_upper
together withate
.get_ate_ci
of theSensitivity
class does not passreturn_ci = True
toestimate_ate
.To Reproduce
Steps to reproduce the behavior: Run
sensitivity_analysis
method 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
The text was updated successfully, but these errors were encountered: