Python Forum

Hi for all Python expert forum.

i have used the predefined functions in python such as:

plot_acf(col, ax=pyplot.gca(), lags=1500) #to select p value order AR
plot_pacf(col, ax=pyplot.gca(), lags=1500) #to select q value order MA

after analyzing these plots i deducted that

Quote:my model has (0,0,367) as order

.

i am trying to build ARIMA mode in python. here is the code:

def arima_Model_Static_PlotErrorAC_PAC(series, arima_order): 
train, expctd =series , series 
model = ARIMA(series, order=arima_order)
results_MA = model.fit(disp=-1) 
yhatList=results_MA.fittedvalues 
residuals = [expctd[i] - yhatList[i] for i in range(len(expctd))] 
mse = mean_squared_error(expctd, yhatList)
rmse = sqrt(mse)
print(results_MA.summary())
print(rmse)

i called this function as follow:

series=DataSetDiff
arima_order=(0,0,367)
outputResidualError=arima_Model_Static_PlotErrorAC_PAC(series, arima_order)

while i am running my model, i am getting the following error:

Error:
raise ValueError("The computed initial MA coefficients are not "
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

Notes: when i try the

Quote:order(0,0,31)

my model is well running but

Quote:any value greater then 32

i am getting the above mentioned error.

any help will be appreciate.
thank you a lot