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add a print statement
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examples/40_paper/2018_neurips_perrone_example.py

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@@ -241,6 +241,9 @@ def random_sample_configurations(num_samples=100):
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return X
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configs = random_sample_configurations(num_samples=1000)
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print(configs)
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#############################################################################
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preds = model.predict(configs)
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# tracking the maximum AUC obtained over the functions evaluations

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