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copybutton.css
3em; width: 1.7em; height: 1.7em; opacity: 0; transition:...stroke: currentColor; width: 1.5em; height: 1.5em; padding: 0.1em; }...scikit-learn.org/stable/_static/copybutton.css -
model_evaluation.rst.txt
1, 1, 1, 1, 1] >>> y_pred = [0, 1, 0, 1, 0, 1, 0, 1] >>>...0, 0, 1, 1, 1, 1, 1] >>> y_pred = [0, 1, 0, 1, 0, 1, 0, 1] >>>...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
plot_kmeans_digits.rst.txt
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/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
plot_classifier_comparison.zip
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/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
cross_validation.rst.txt
[1., 1.], [-1., -1.], [2., 2.]]) >>> y = np.array([0, 1, 0,...3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
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 -
Datenspeicher-Crawl
1,タイトル 1,テスト1です。 2,タイトル 2,テスト2です。 3,タイトル...VALUES ( 'タイトル 1' , 'コンテンツ 1 です．' , '37.77493'...fess.codelibs.org/de/15.3/admin/dataconfig-guide.html -
Configuración Básica del Rastreador
inicio 1 : URL de inicio y páginas enlazadas desde ella -1 : Ilimitada...se actualizan mucho: cada 1 día〜1 semana Recomendaciones para...fess.codelibs.org/es/15.3/config/crawler-basic.html -
auto_examples_python.zip
r"($\frac{1}{3}$, $\frac{1}{3}$, $\frac{1}{3}$)", xy=(1.0 / 3, 1.0 /...plt.annotate( r"($1$, $0$, $0$)", xy=(1, 0), xytext=(1, 0.1), xycoords="data",...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
plot_kmeans_digits.zip
1].min() - 1, reduced_data[:, 1].max() + 1 xx, yy =...reduced_data[:, 1].min() - 1, reduced_data[:, 1].max() + 1\nxx, yy =...scikit-learn.org/stable/_downloads/1393861b58df827d4c681b80a5be2472/plot_kmeans_digits.zip