ML for Cache Replacement

To reproduce the results, follow the steps below:

1. Run get_lines.py to convert the list of addresses to block numbers
2. Run dataset_generation.py to generate the dataset for Approach #1
3. Train the model for Approach #1 by running model.py.
4. Create a .env file with the following content:

OPENAI_API_KEY=<your_openai_api_key>

5. Finally, run cache.py to compare all cache replacement algorithms.