mirror of
https://github.com/ArthurDanjou/handson-ml3.git
synced 2026-01-14 12:14:36 +01:00
Remove redundant comment
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@@ -91,8 +91,8 @@
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"plt.rc('font', size=14)\n",
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"plt.rc('axes', labelsize=14, titlesize=14)\n",
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"plt.rc('legend', fontsize=14)\n",
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"plt.rc('xtick',labelsize=10)\n",
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"plt.rc('ytick',labelsize=10)"
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"plt.rc('xtick', labelsize=10)\n",
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"plt.rc('ytick', labelsize=10)"
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]
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},
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{
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@@ -144,7 +144,7 @@
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"cumulative_heads = coin_tosses.cumsum(axis=0)\n",
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"cumulative_heads_ratio = cumulative_heads / np.arange(1, 10001).reshape(-1, 1)\n",
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"\n",
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"plt.figure(figsize=(8,3.5))\n",
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"plt.figure(figsize=(8, 3.5))\n",
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"plt.plot(cumulative_heads_ratio)\n",
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"plt.plot([0, 10000], [0.51, 0.51], \"k--\", linewidth=2, label=\"51%\")\n",
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"plt.plot([0, 10000], [0.5, 0.5], \"k-\", label=\"50%\")\n",
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@@ -484,7 +484,7 @@
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"\n",
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"m = len(X_train)\n",
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"\n",
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"fix, axes = plt.subplots(ncols=2, figsize=(10,4), sharey=True)\n",
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"fix, axes = plt.subplots(ncols=2, figsize=(10, 4), sharey=True)\n",
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"for subplot, learning_rate in ((0, 1), (1, 0.5)):\n",
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" sample_weights = np.ones(m) / m\n",
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" plt.sca(axes[subplot])\n",
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@@ -628,7 +628,7 @@
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" plt.legend(loc=\"upper center\")\n",
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" plt.axis(axes)\n",
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"\n",
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"plt.figure(figsize=(11,11))\n",
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"plt.figure(figsize=(11, 11))\n",
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"\n",
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"plt.subplot(3, 2, 1)\n",
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"plot_predictions([tree_reg1], X, y, axes=[-0.5, 0.5, -0.2, 0.8], style=\"g-\",\n",
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@@ -717,7 +717,7 @@
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"source": [
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"# not in the book – this cell generates and saves Figure 7–10\n",
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"\n",
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"fix, axes = plt.subplots(ncols=2, figsize=(10,4), sharey=True)\n",
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"fix, axes = plt.subplots(ncols=2, figsize=(10, 4), sharey=True)\n",
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"\n",
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"plt.sca(axes[0])\n",
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"plot_predictions([gbrt], X, y, axes=[-0.5, 0.5, -0.1, 0.8], style=\"r-\",\n",
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