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Update cuml_bench/tsne.py
Co-authored-by: Ekaterina Mekhnetsova <mekkatya@gmail.com>
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cuml_bench/tsne.py

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help='Angular size. This is the trade-off between speed and accuracy.')
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parser.add_argument('--min-grad-norm', type=float, default=1e-7,
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help='If the gradient norm is below this threshold,'
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'the optimization will be stopped.')
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'the optimization is stopped.')
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parser.add_argument('--random-state', type=int, default=1234)
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params = bench.parse_args(parser)
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