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Use **kwargs in BalancingLearner.to_dataframe
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adaptive/learner/balancing_learner.py

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@@ -389,7 +389,7 @@ def from_product(cls, f, learner_type, learner_kwargs, combos):
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learners.append(learner)
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return cls(learners, cdims=arguments)
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def to_dataframe(self, kwargs):
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def to_dataframe(self, **kwargs):
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if not with_pandas:
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raise ImportError("pandas is not installed.")
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dfs = [learner.to_dataframe(**kwargs) for learner in self.learners]

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