$python download_dataset.py --dataset {name}
- fashion-mnist-784-euclidean
- gist-960-euclidean
- glove-25-angular
- glove-50-angular
- glove-100-angular
- glove-200-angular
- mnist-784-euclidean
- random-xs-20-euclidean
- random-s-100-euclidean
- random-xs-20-angular
- random-s-100-angular
- sift-128-euclidean
- nytimes-256-angular
- youtube-40-angular
- youtube1m-40-angular
$python benchmark_script.py
Result file will be created in './result' directory.
--distance (euclidean or angular): 'Distance metric'--dataset (sift or glove or youtube): 'Which dataset'--n_threads (number of threads): 'Number of threads'
$python visualize.py {result_path}