I am trying to write a code to generate a series of arima model and compare different models.The code is as follow.
p=0 q=0 d=0 pdq=[] aic=[] for p in range(6): for d in range(2): for q in range(4): arima_mod=sm.tsa.ARIMA(df,(p,d,q)).fit(transparams=True) x=arima_mod.aic x1= p,d,q print (x1,x) aic.append(x) pdq.append(x1) keys = pdq values = aic d = dict(zip(keys, values)) print (d) minaic=min(d, key=d.get) for i in range(3): p=minaic[0] d=minaic[1] q=minaic[2] print (p,d,q) Where 'df' is the time series data.And the output is as follow,
(0, 0, 0) 1712.55522759 (0, 0, 1) 1693.436483044094 (0, 0, 2) 1695.2226857997066 (0, 0, 3) 1690.9437925956158 (0, 1, 0) 1712.74161799 (0, 1, 1) 1693.0408994539348 (0, 1, 2) 1677.2235087182808 (0, 1, 3) 1679.209810237856 (1, 0, 0) 1700.0762847127553 (1, 0, 1) 1695.353190569905 (1, 0, 2) 1694.7907607467605 (1, 0, 3) 1692.235442716487 (1, 1, 0) 1714.5088374907164 ValueError: The computed initial MA coefficients are not invertible You should induce invertibility, choose a different model order, or you can pass your own start_params. i.e for order (1,1,1) the model is non invertible. so the process stops there.How can i skip such non invertible combination of p,d,q and go on with other combination