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disable logging for the LearnerND in the example notebook
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learner.ipynb

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@@ -270,7 +270,7 @@
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" return x + z**2 + np.exp(-(x**2 + y**2 + z**2 - 0.75**2)**2/a**4)\n",
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"\n",
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"learner = adaptive.LearnerND(sphere, bounds=[(-1, 1), (-1, 1), (-1, 1)])\n",
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"runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.02, log=True)\n",
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"runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)\n",
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"runner.live_info()"
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]
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},

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