RJT1990 / pyflux

Open source time series library for Python
BSD 3-Clause "New" or "Revised" License
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can I supply my own disturbances to generate simulated paths? #148

Open argku opened 4 years ago

argku commented 4 years ago

Can I supply my own sets of innovations to the forecast so that it generates the predicted paths? I'm looking for a functionality similar to arima.sim() function in R with "innov" argument.

I found this method _sim_prediction(), which seems to be doing something along this line, but I can't call it since it;s protected.