0cb2ddb81e2f3e261e8cc52a53f762e211d2dcf6,sklearn/impute/_iterative.py,IterativeImputer,fit_transform,#IterativeImputer#Any#Any#,527

Before Change

        self.imputation_sequence_ = []

        self._min_value = -np.inf if self.min_value is None else self.min_value
        self._max_value = np.inf if self.max_value is None else self.max_value

        self.initial_imputer_ = None
        super()._fit_indicator(X)
        X_indicator = super()._transform_indicator(X)

After Change

        self._min_value = IterativeImputer._validate_limit(
            self.min_value, "min", X.shape[1])
        self._max_value = IterativeImputer._validate_limit(
            self.max_value, "max", X.shape[1])

        if not np.all(np.greater(self._max_value, self._min_value)):
            raise ValueError(
                "One (or more) features have min_value >= max_value.")

Instances