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basnijholtjbweston
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remove ntasks
Co-Authored-By: Joseph Weston <[email protected]>
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example-notebook.ipynb

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"source": [
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"# The end condition is when the \"loss\" is less than 0.01. In the context of the\n",
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"# 1D learner this means that we will resolve features in 'func' with width 0.01 or wider.\n",
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"runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)\n",
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"runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01, tasks=4)\n",
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"runner.live_info()"
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]
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},

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