@property
    def summary(self):
        lower_upper_bounds = self._compute_confidence_bounds_of_parameters()
        df = pd.DataFrame(index=['lambda_'])
        df['coef'] = [self.lambda_]
        df['se(coef)'] = self._compute_standard_errors().ix['se']
        df['lower %.2f' % self.alpha] = lower_upper_bounds.ix['lower-bound']
        df['upper %.2f' % self.alpha] = lower_upper_bounds.ix['upper-bound']
        return df
Summary statistics describing the fit.
dataset/ETHPy150Open CamDavidsonPilon/lifelines/lifelines/fitters/exponential_fitter.py/ExponentialFitter.summary