adult_process.ipynb
processesdata/adult_og.csv
to givedata/adult_processed.csv
.adult_mst.ipynb
prepares the graph for marginal cliques.adult_RF.ipynb
creates a model for later scoring use.adult_synth.ipynb
trains the data synthesizer based on marginal cliques.adult_fair.ipynb
calculates and compares the fairness scores of models on original dataset and synthetic datasets.
conda env create -f environment.yml
mkdir experiments/model experiments/tmp