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Remove version from fetch_openml, and replace some_index with 0

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Aurélien Geron 2021-11-10 17:57:26 +13:00
parent 787a34b574
commit bac934811a
1 changed files with 5 additions and 5 deletions
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10
03_classification.ipynb
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@ -131,7 +131,7 @@
"source": [ "source": [
"from sklearn.datasets import fetch_openml\n", "from sklearn.datasets import fetch_openml\n",
"\n", "\n",
"mnist = fetch_openml('mnist_784', version=1, as_frame=False)" "mnist = fetch_openml('mnist_784', as_frame=False)"
] ]
}, },
{ {
@ -1254,9 +1254,8 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"# not in the book\n", "# not in the book\n",
"some_index = 0\n", "plt.subplot(121); plot_digit(X_test_mod[0])\n",
"plt.subplot(121); plot_digit(X_test_mod[some_index])\n", "plt.subplot(122); plot_digit(y_test_mod[0])\n",
"plt.subplot(122); plot_digit(y_test_mod[some_index])\n",
"save_fig(\"noisy_digit_example_plot\")\n", "save_fig(\"noisy_digit_example_plot\")\n",
"plt.show()" "plt.show()"
] ]
@ -1267,8 +1266,9 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"knn_clf = KNeighborsClassifier()\n",
"knn_clf.fit(X_train_mod, y_train_mod)\n", "knn_clf.fit(X_train_mod, y_train_mod)\n",
"clean_digit = knn_clf.predict([X_test_mod[some_index]])\n", "clean_digit = knn_clf.predict([X_test_mod[0]])\n",
"plot_digit(clean_digit)\n", "plot_digit(clean_digit)\n",
"save_fig(\"cleaned_digit_example_plot\") # not in the book\n", "save_fig(\"cleaned_digit_example_plot\") # not in the book\n",
"plt.show()" "plt.show()"