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Update figure references in training notebook #27

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Update figure references in training notebook #27

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10 changes: 5 additions & 5 deletions 04_training_linear_models.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -1068,7 +1068,7 @@
}
],
"source": [
"# extra code – this cell generates Figure 4–17\n",
"# extra code – this cell generates Figure 4–18\n",
"\n",
"def plot_model(model_class, polynomial, alphas, **model_kwargs):\n",
" plt.plot(X, y, \"b.\", linewidth=3)\n",
Expand Down Expand Up @@ -1243,7 +1243,7 @@
}
],
"source": [
"# extra code – this cell generates Figure 4–18\n",
"# extra code – this cell generates Figure 4–19\n",
"plt.figure(figsize=(9, 3.5))\n",
"plt.subplot(121)\n",
"plot_model(Lasso, polynomial=False, alphas=(0, 0.1, 1), random_state=42)\n",
Expand Down Expand Up @@ -1272,7 +1272,7 @@
}
],
"source": [
"# extra code – this BIG cell generates Figure 4–19\n",
"# extra code – this BIG cell generates Figure 4–20\n",
"\n",
"t1a, t1b, t2a, t2b = -1, 3, -1.5, 1.5\n",
"\n",
Expand Down Expand Up @@ -1448,7 +1448,7 @@
" val_errors.append(val_error)\n",
" train_errors.append(train_error)\n",
"\n",
"# extra code – this section generates Figure 4–20\n",
"# extra code – this section generates Figure 4–21\n",
"best_epoch = np.argmin(val_errors)\n",
"plt.figure(figsize=(6, 4))\n",
"plt.annotate('Best model',\n",
Expand Down Expand Up @@ -1500,7 +1500,7 @@
}
],
"source": [
"# extra code – generates Figure 4–21\n",
"# extra code – generates Figure 4–22\n",
"\n",
"lim = 6\n",
"t = np.linspace(-lim, lim, 100)\n",
Expand Down