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.