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asis.xml
1.0 UTF-8 http://www.sitemaps.org/schemas/sitemap/0.9 https:...www.buzzfeed.com/sitemap/asis.xml -
news.xml
1.0 UTF-8 http://www.sitemaps.org/schemas/sitemap/0.9 https:...www.buzzfeed.com/sitemap/news.xml -
editions.xml
1.0 UTF-8 http://www.sitemaps.org/schemas/sitemap/0.9 https:...www.buzzfeed.com/sitemap/editions.xml -
tasty.xml
1.0 UTF-8 http://www.sitemaps.org/schemas/sitemap/0.9 https:...www.buzzfeed.com/sitemap/tasty.xml -
plot_classifier_comparison.ipynb
C=1, random_state=42),\n GaussianProcessClass(1.0 * RBF(1.0),...max_features=1, random_state=42\n ),\n MLPClassifier(alpha=1, max_iter=1000,...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
buzzfeed-community.xml
1.0 UTF-8 http://www.sitemaps.org/schemas/sitemap/0.9 https:...www.buzzfeed.com/sitemap/buzzfeed-community.xml -
plot_kmeans_digits.py
1].min() - 1, reduced_data[:, 1].max() + 1 xx, yy =...reduced_data[:, 0].min() - 1, reduced_data[:, 0].max() + 1 y_min, y_max =...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py -
plot_classifier_comparison.py
C=1, random_state=42), GaussianProcessClass(1.0 * RBF(1.0),...max_features=1, random_state=42 ), MLPClassifier(alpha=1, max_iter=1000,...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
pydata-sphinx-theme.js
u={">":[1],">=":[0,1],"=":[0],"<=":[-1,0],"<":[-1]},m=Objec...("."),a.split(".")):o||a?o?-1:1:0})(e,t);return u[n].include...scikit-learn.org/dev/_static/scripts/pydata-sphinx-theme.js -
plot_pca_iris.py
1].mean() + 1.5, X[y == label, 2].mean(),...np.choose(y, [1, 2, 0]).astype(float) ax.scatter(X[:, 0], X[:, 1], X[:,...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py