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tfdf.py_tree.condition.AbstractCondition( missing_evaluation: Optional[bool], split_score: Optional[float] = None )
||Result of the evaluation of the condition if the feature is missing. If None, a feature cannot be missing or a specific method run during inference to handle missing values.|
features() -> List[
List of features used to evaluate the condition.