Update 5_1_Least_Squares_Loss.ipynb
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@@ -539,8 +539,8 @@
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"# Hopefully, you can see that the maximum of the likelihood fn is at the same position as the minimum negative log likelihood\n",
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"# The least squares solution does not depend on sigma, so it's just flat -- no use here.\n",
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"# Let's check that:\n",
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"print(\"Maximum likelihood = %3.3f, at beta_1=%3.3f\"%( (likelihoods[np.argmax(likelihoods)],sigma_vals[np.argmax(likelihoods)])))\n",
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"print(\"Minimum negative log likelihood = %3.3f, at beta_1=%3.3f\"%( (nlls[np.argmin(nlls)],sigma_vals[np.argmin(nlls)])))\n",
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"print(\"Maximum likelihood = %3.3f, at sigma=%3.3f\"%( (likelihoods[np.argmax(likelihoods)],sigma_vals[np.argmax(likelihoods)])))\n",
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"print(\"Minimum negative log likelihood = %3.3f, at sigma=%3.3f\"%( (nlls[np.argmin(nlls)],sigma_vals[np.argmin(nlls)])))\n",
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"# Plot the best model\n",
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"sigma= sigma_vals[np.argmin(nlls)]\n",
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"y_model = shallow_nn(x_model, beta_0, omega_0, beta_1, omega_1)\n",
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