/CS474-final-project

Primary LanguagePython

Setup

  • Create a conda environment by running the following command: conda env create -f environment.yml
  • Activate the conda environment with conda activate lnn

Training an LNN to represent a dataset

To train an LNN based on m-CNF, use the following command:

python3 m_cnf_lnn.py <file_name> <m>

In the above command, the file_name is the common location of the dataset csv file and the training loss variation plot. Specifically, the dataset should be present at data/<file_name>.csv and the training loss plot will be saved in figures/<file_name>.png.

m is the number of clauses in the m-CNF form of the LNN.