diff --git a/notebooks/book1/01/linreg_poly_vs_degree.ipynb b/notebooks/book1/01/linreg_poly_vs_degree.ipynb index 9f4622ef05..3ccca6af9f 100644 --- a/notebooks/book1/01/linreg_poly_vs_degree.ipynb +++ b/notebooks/book1/01/linreg_poly_vs_degree.ipynb @@ -84,8 +84,7 @@ " #plt.rc(\"text\", usetex=True)\n", " plt.rc(\"font\", family=\"serif\")\n", " plt.rc(\"figure\", figsize=(fig_width, fig_height))\n", - "\n", - "my_latexify(fig_width=4.5, fig_height=3)" + "\n" ] }, { @@ -131,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "id": "ffac3768", "metadata": {}, "outputs": [], @@ -215,7 +214,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 13, "id": "54da8fe6", "metadata": {}, "outputs": [ @@ -237,7 +236,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -254,8 +253,9 @@ "ax.plot(degs[mask], mse_test[mask], color=\"r\", marker=\"x\", label=\"test\")\n", "ax.plot(degs[mask], mse_train[mask], color=\"b\", marker=\"s\", label=\"train\")\n", "ax.legend(loc=\"upper right\", shadow=True)\n", - "plt.xlabel(\"degree\")\n", - "plt.ylabel(\"mse\")\n", + "#plt.xlabel(\"degree\")\n", + "#plt.ylabel(\"mse\")\n", + "plt.title('mse vs degree')\n", "pml.savefig(\"polyfitVsDegree.pdf\")\n", "plt.show()\n" ] diff --git a/notebooks/figures/polyfitVsDegree.pdf b/notebooks/figures/polyfitVsDegree.pdf index df9de2362a..034b4b3e45 100644 Binary files a/notebooks/figures/polyfitVsDegree.pdf and b/notebooks/figures/polyfitVsDegree.pdf differ