(self, column)
return median, mad, dist_missing2_cont
Return median, MAD and distance betwwen pairs of missing values
        for the given columns. The method is called by inherited `fit_rows`
        to construct a row-distance model
Return median, MAD and distance betwwen pairs of missing values
        for the given columns. The method is called by inherited `fit_rows`
        to construct a row-distance model
Return median MAD and distance betwwen pairs of missing values for the given columns . The method is called by inherited fit_rows to construct a row - distance model
def get_continuous_stats(self, column):
        """
        Return median, MAD and distance betwwen pairs of missing values
        for the given columns. The method is called by inherited `fit_rows`
        to construct a row-distance model
        """
        median = np.nanmedian(column)
        mad = np.nanmedian(np.abs(column - median))
        if self.normalize:
            if mad == 0:
                return None
            dist_missing2_cont = 1
        else:
            dist_missing2_cont = 2 * mad
            if np.isnan(dist_missing2_cont):
                dist_missing2_cont = 0
        return median, mad, dist_missing2_cont
def get_continuous_stats ( self , column ) : median = np . nanmedian ( column ) mad = np . nanmedian ( np . abs ( column - median ) ) if self . normalize : if mad == 0 : return None dist_missing2_cont = 1 else : dist_missing2_cont = 2 * mad if np . isnan ( dist_missing2_cont ) : dist_missing2_cont = 0 return median , mad , dist_missing2_cont