def get_prediction(self, exog=None, exog_infl=None, exposure=None, offset=None, which='mean', average=False, agg_weights=None, y_values=None, transform=True, row_labels=None):
    import statsmodels.base._prediction_inference as pred
    pred_kwds = {'exog_infl': exog_infl, 'exposure': exposure, 'offset': offset, 'y_values': y_values}
    res = pred.get_prediction_delta(self, exog=exog, which=which, average=average, agg_weights=agg_weights, pred_kwds=pred_kwds)
    return res
def get_prediction(self, exog=None, exog_infl=None, exposure=None, offset=None, which='mean', average=False, agg_weights=None, y_values=None, transform=True, row_labels=None):
    import statsmodels.base._prediction_inference as pred
    pred_kwds = {'exog_infl': exog_infl, 'exposure': exposure, 'offset': offset, 'y_values': y_values}
    res = pred.get_prediction_delta(self, exog=exog, which=which, average=average, agg_weights=agg_weights, pred_kwds=pred_kwds)
    return res