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[FIX] Typo in notebook.
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main_regression.ipynb

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"metadata": {},
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"source": [
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"# Building the model\n",
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"The model used is a two layer MLP. The particularity here is that for every input $x$, the model outputs both a mean prediction $\\mu(x)$ and a standard deviation $\\sigma(x) = \\log(1 + e^\\rho(x))$. $\\sigma$ is parameterized this way to avoid negative values."
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"The model used is a two layer MLP. The particularity here is that for every input $x$, the model outputs both a mean prediction $\\mu(x)$ and a standard deviation $\\sigma(x) = \\log(1 + e^{\\rho(x)})$. $\\sigma$ is parameterized this way to avoid negative values."
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]
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},
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{

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