(self, column)
return mean, var, dist_missing2_cont
Return mean, variance 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 mean, variance 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 mean variance 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 mean, variance 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
        """
        mean = util.nanmean(column)
        var = util.nanvar(column)
        if self.normalize:
            if var == 0:
                return None
            dist_missing2_cont = 1
        else:
            dist_missing2_cont = 2 * var
            if np.isnan(dist_missing2_cont):
                dist_missing2_cont = 0
        return mean, var, dist_missing2_cont
def get_continuous_stats ( self , column ) : mean = util . nanmean ( column ) var = util . nanvar ( column ) if self . normalize : if var == 0 : return None dist_missing2_cont = 1 else : dist_missing2_cont = 2 * var if np . isnan ( dist_missing2_cont ) : dist_missing2_cont = 0 return mean , var , dist_missing2_cont