'Steffen Rolf-Pissarczyk' via pystatsmodels
2018-09-28 08:44:50 UTC
Hello everyone,
my name is Steffen Rolf-Pissarczyk and I have a presumably simple problem
with statsmodels 0.9.0.
I try to fit a SARIMA model (with a rather long seasonal lag of 96) to a
timeseries with 90000 entries.
I found that this task takes a rather long time ( couple of hours), using
SARIMAX and fit.
For comparison I used the ECOMETRIC TOOLBOX from Matlab.
Here I use regARIMA and the estimate() function and I just takes seconds
to get fitting parameters.
I already tried to search throughout the internet to find the reason for
this speed discrepancy without any luck.
(I tried different methods, as well as the simple_differencing,the
enforce_invertibility and the enforce_stationarity option)
Can you help me or give me a good advise how to get a comparable fitting
time?
thanks in advance
Steffen
my name is Steffen Rolf-Pissarczyk and I have a presumably simple problem
with statsmodels 0.9.0.
I try to fit a SARIMA model (with a rather long seasonal lag of 96) to a
timeseries with 90000 entries.
I found that this task takes a rather long time ( couple of hours), using
SARIMAX and fit.
For comparison I used the ECOMETRIC TOOLBOX from Matlab.
Here I use regARIMA and the estimate() function and I just takes seconds
to get fitting parameters.
I already tried to search throughout the internet to find the reason for
this speed discrepancy without any luck.
(I tried different methods, as well as the simple_differencing,the
enforce_invertibility and the enforce_stationarity option)
Can you help me or give me a good advise how to get a comparable fitting
time?
thanks in advance
Steffen