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757: add return_ci=True in sensitivity #758

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Apr 12, 2024
Merged

757: add return_ci=True in sensitivity #758

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757: add return_ci=True in sensitivity
lee-junseok Apr 12, 2024
9d98dde
remove if-else logic - resolved in #295
lee-junseok Apr 12, 2024
ef110f8
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lee-junseok Apr 12, 2024
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33 changes: 24 additions & 9 deletions causalml/metrics/sensitivity.py
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Original file line number Diff line number Diff line change
Expand Up @@ -147,19 +147,34 @@ def get_ate_ci(self, X, p, treatment, y):
learner = self.learner
from ..inference.meta.tlearner import BaseTLearner
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if isinstance(learner, BaseTLearner):
ate, ate_lower, ate_upper = learner.estimate_ate(
X=X, treatment=treatment, y=y
)
else:
try:
try:
if isinstance(learner, BaseTLearner):
ate, ate_lower, ate_upper = learner.estimate_ate(
X=X, p=p, treatment=treatment, y=y
X=X, treatment=treatment, y=y, return_ci=True
)
except TypeError:
else:
try:
ate, ate_lower, ate_upper = learner.estimate_ate(
X=X, p=p, treatment=treatment, y=y
)
except TypeError:
ate, ate_lower, ate_upper = learner.estimate_ate(
X=X, treatment=treatment, y=y, return_ci=True
)
except TypeError:
if isinstance(learner, BaseTLearner):
ate, ate_lower, ate_upper = learner.estimate_ate(
X=X, treatment=treatment, y=y, return_ci=True
X=X, treatment=treatment, y=y
)
else:
try:
ate, ate_lower, ate_upper = learner.estimate_ate(
X=X, p=p, treatment=treatment, y=y
)
except TypeError:
ate, ate_lower, ate_upper = learner.estimate_ate(
X=X, treatment=treatment, y=y
)
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return ate[0], ate_lower[0], ate_upper[0]

@staticmethod
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