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antoinecarme
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
This is an issue to serve as a honeypot for all ideas that come and can be included in the next PyAF release (5.0, expected on 2023-07-14). First ideas :...
Hi @antoinecarme , I would like to know if the package supports reconciliation of forecasts after generating at different hierarchy and also if it supports external probabilistic forecast reconciliation. I...
Hi! I am looking at this package as a very useful tool for a project I plan to start. I have been reading the documentation and examples and want to...
Following #76, PyAF plot contain empty boxes instead of unicode "characters". 
~~Green-washing Bullshit Here~~ 1. Ensure that PyAF uses CPU in a friendly way (continuous profiling and optimization for future versions). Check that CPU times for all the tests don't increase...
As of 2021, CPython implementation still uses the infamous "global interpreter lock (GIL)". This is the design point behind PyAF using the multiprocessing module and not multithreading. Now, there is...
PyAF uses an **iterated one-step ahead forecasting**, that is , the same model (signal transformation + signal decomposition) forecast is iterated one-step at a time. Other forecasting strategies do exist...
At least 1. API documentation in Python code 2. Some examples
At least check the possibility of using pyaf in this context. pyaf is not aware of the data source type (time series database or web service, etc) as long as...
PyAF has a API call lEngine.standardPlots(). It gives some classical plots (signal against forecast, residues, trends, cycles, AR) All the plots are generated with matplotlib Document the plots generated. The...
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PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.