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update tutorial notebooks
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docs/source/notebooks/GP-Marginal.ipynb

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" σ = pm.HalfCauchy(\"σ\", beta=5)\n",
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" y_ = gp.marginal_likelihood(\"y\", X=X, y=y, noise=σ)\n",
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" \n",
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" #mp = pm.find_MAP(fmin=sp.optimize.f)\n",
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" mp = pm.find_MAP()"
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@@ -390,7 +389,7 @@
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"\n",
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"# axis labels and title\n",
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"plt.xlabel(\"X\"); plt.ylim([-13,13]);\n",
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"plt.title(\"Posterior distribution over $f(x)$ at the observed values\"); plt.legend();\n"
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"plt.title(\"Posterior distribution over $f(x)$ at the observed values\"); plt.legend();"
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]
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{

docs/source/notebooks/GP-SparseApprox.ipynb

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docs/source/notebooks/GP-TProcess.ipynb

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