# Splitting 80/20
index = round(len(bc)*.80)
train = bc_log.iloc[:index]
test = bc_log.iloc[index:]

# Fitting the model to the training set
model = SARIMAX(train,
                order=(1, 0, 0),
                seasonal_order=(0,0,0,0),
                freq='D',
                enforce_stationarity=False,
                enforce_invertibility=False)
output = model.fit()