Sometimes the signal is too small/easy to forecast. PyAF fails when the signal has only one row !!!
The goal here is to make pyaf as robust as possible against very small/bad datasets
PyAF should automatically produce reasonable/naive/trivial models in these cases.
It should not fail in any case (normal behavior expected, useful for M2M context)
Sometimes the signal is too small/easy to forecast. PyAF fails when the signal has only one row !!!
The goal here is to make pyaf as robust as possible against very small/bad datasets PyAF should automatically produce reasonable/naive/trivial models in these cases. It should not fail in any case (normal behavior expected, useful for M2M context)