State of the art time series forecasting method that has the FFORMA ensemble learn from the ESRNN hybrid model and others.
This implementation reuses the forecasts of the ESRNN and others from the M4 forecasting competition.
conda env create -f environment.yml conda activate fformaProj
python main.py
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())