Each of these seasonals is analyzed separately and an AR/SVR/... model is built on its residue.
A possible optimization here is to keep only the best of these (filter out redundant seasonals). This will lead to a reduction of the number of AR models and cpu/memory usage by a factor of (at least) 2.
PyAF internally analyzes trend residues for the following seasonal patterns :
Each of these seasonals is analyzed separately and an AR/SVR/... model is built on its residue.
A possible optimization here is to keep only the best of these (filter out redundant seasonals). This will lead to a reduction of the number of AR models and cpu/memory usage by a factor of (at least) 2.