(self, column)
Compute statistics for imputation and normalization of continuous data.
        Derived classes must define this method.

        Args:
            column (np.ndarray): column data

        Returns:
            offset (float): the number subtracted from values in column
            scales (float): the divisor for values in column
            dist_missing2_cont (float): the value used for distance between two
                missing values in column
Compute statistics for imputation and normalization of continuous data.
        Derived classes must define this method.
Compute statistics for imputation and normalization of continuous data . Derived classes must define this method .
def get_continuous_stats(self, column):
        """
        Compute statistics for imputation and normalization of continuous data.
        Derived classes must define this method.

        Args:
            column (np.ndarray): column data

        Returns:
            offset (float): the number subtracted from values in column
            scales (float): the divisor for values in column
            dist_missing2_cont (float): the value used for distance between two
                missing values in column
        """
        raise NotImplementedError
def get_continuous_stats ( self , column ) : raise NotImplementedError