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Supplemental Material for Fair Near Neighbor Search: Independent Range Sampling in High Dimensions

Requirements

Python 3, pandas, seaborn.

Recommended: PyPy3 (experiments run around 30 times faster)

Reproducing experiments

Run bash exp.sh to obtain all files used in the evaluation logbook log.ipynb.

Reproducing plots

All plots in the paper are copied from the Jupyter notebook present in log.ipynb. Install Jupyter notebook, run the experiments from above, and run all cells in the Jupyter notebook to reproduce the plots.

Raw results

Instead of running the experiments, one can also reproduce the plots from the raw experimental data. To do this,
unzip raw_results.zip present in the top directory and run the Jupyter notebook.

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Supplemental Material for Fair Near Neighbor Search: Independent Range Sampling in High Dimensions

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