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Update tsne.py
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cuml_bench/tsne.py

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# Load and convert data
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X, _, _, _ = bench.load_data(params)
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# Create our random forest regressor
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# Create our TSNE
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tsne = TSNE(n_components=params.n_components, early_exaggeration=params.early_exaggeration,
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learning_rate=params.learning_rate, angle=params.angle,
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min_grad_norm=params.min_grad_norm, random_state=params.random_state)

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