AuSeM

Automating Sensemaking Measurements

Run our models on student data

1. Create the required python environment (we recommend mamba for package management) with mamba env create -f environment.yaml

2. Activate the environment mamba activate ausem

3. Run a model with python src/train_loop.py --problem_config config/problem_config.yaml --hyper_config config/best_bow.yaml