# metabeta
Amortized Bayesian Mixed-Effects Regression

### setup
- conda env create --file=env.yml
- conda activate mb
- pip install -e .

### data simulation
- use generate.py
- choose generation parameters by editing the cfg part of the script
- for semi-synthetic data, use demos/real/datasets.R and data/csv.py for preprocessing

### training
- use train.py with your desired cfg

### evaluation
- use evaluate.py with your desired cfg