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prism.css
Verou */ code[class*="language-"], pre[class*="language-"] { color:...pre[class*="language-"]::-moz-selection, pre[class*="language-"]...fess.codelibs.org/ja/_static/assets/vendor/prismjs/themes/prism.css -
styles.css
} img-comparison-slider [slot='second'] { display: none; } i...img-comparison-slider.rendered [slot='second'] { display: unset; }...fess.codelibs.org/_static/assets/vendor/img-comparison-slider/dist/styles.css -
prism-line-numbers.css
pre[class*="language-"].line-numbers { position: relative; padding-left:...counter-reset: linenumber; } pre[class*="language-"].line-numbers > code...fess.codelibs.org/_static/assets/vendor/prismjs/plugins/line-numbers/prism-line-numbers.css -
simplebar.min.css
uto}[data-simplebar-direction=rtl] .simplebar-track.simpleba...fess.codelibs.org/ja/_static/assets/vendor/simplebar/dist/simplebar.min.css -
plot_kmeans_digits.ipynb
metrics):\n\n========== ==========nShorthand full name\n========== ==========nhomo...silhouette coefficient\n========== ==========n" ] }, { "cell_type":...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
plot_discretization_strategies.py
""" ========== Demonstrating the different strategies of KBinsDiscretizer...KBinsDiscretizer ========== This example presents the different...scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie... -
plot_release_highlights_1_4_0.py
""" ========== Release Highlights for scikit-learn 1.4 ==========...noise = rng.normal(loc=0.0, scale=0.01, size=n_samples) y = 5 *...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py -
plot_adaboost_regression.py
""" ========== Decision Tree Regression with AdaBoost ==========...y_1, color=colors[1], label="n_estimators=1", linewidth=2) plt.plot(X,...scikit-learn.org/stable/_downloads/2da78c80da33b4e0d313b0a90b923ec8/plot_adaboost_regression.py -
plot_pca_iris.rst.txt
py: ========== PCA example with Iris Data-set ========== Principal...2)]: ax.text3D( X[y == label, 0].mean(), X[y == label, 1].mean()...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
plot_adaboost_regression.rst.txt
y: ========== Decision Tree Regression with AdaBoost ==========...y_1, color=colors[1], label="n_estimators=1", linewidth=2) plt.plot(X,...scikit-learn.org/stable/_sources/auto_examples/ensemble/plot_adaboost_regression.rst.txt