Use the environment.yaml file to create a conda environment.
Every combination of a model and a dataset needs a separate YAML file similar to config.yaml to run. This file defines most of the specifications regarding the training and testing. The example config.yaml file provided makes all the specifications self-explanatory.
Run the run.py file to just run training and testing for one model, whose config file (renamed to config.yaml) is placed in the same directory as the code.
Create .yaml files for each model and put all such files in a directory called Configs, alongside the directory containing this repository. Run the autorun.py file to sequentially run the training and testing for each model.