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Conda Environment

Python version 3.11.5 or higher is needed.

A conda env containing all the packages and versions required to run the scripts can be created by running the following command:

  conda env create --file wildfires.yaml

Tip

Important:

Remember to replace "YOUR CONDA ENVIRONMENT NAME" in the wildfires.yaml file with the name that you want to give to your environment in order to install it properly.

This makes the installation easy and fast. The Pytorch v2.0.2 was used to train and test the ML4Fires architecture on the Juno supercomputer at CMCC.