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simplebar.min.css
s:none;z-index:-1}.simplebar-track{z-index:1;position:absolu...1px;overflow:hidden;z-index:-1;padding:0;margin:0;pointer-ev...fess.codelibs.org/ja/_static/assets/vendor/simplebar/dist/simplebar.min.css -
prism.css
word-wrap: normal; line-height: 1.5; -moz-tab-size: 4; -o-tab-size:...fess.codelibs.org/ja/_static/assets/vendor/prismjs/themes/prism.css -
prism-toolbar.css
toolbar { opacity: 1; } /* Separate line b/c rules...within > .toolbar { opacity: 1; } div.code-toolbar > .toolbar...fess.codelibs.org/ja/_static/assets/vendor/prismjs/plugins/toolbar/prism-toolbar.css -
plot_release_highlights_1_4_0.py
1, 6, np.nan]).reshape(-1, 1) y = [0, 0, 1, 1] forest...3) disp.axes_[0, 0].set_xlim(-1, 1) disp.axes_[0, 0].legend() plt.show()...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py -
sg_gallery-rendered-html.css
margin: 1.08em 0 0 0; font-weight: bold; line-height: 1.0; } .rendered_html....rendered_html h2 { font-size: 157.1%; margin: 1.27em 0 0 0; font-weight:...scikit-learn.org/stable/_static/sg_gallery-rendered-html.css -
plot_multi_metric_evaluation.py
1) # Get the regular numpy array...sample_score_mean + sample_score_std, alpha=0.1 if sample == "test" else 0, color=color,...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
plot_adaboost_regression.py
random_state=rng ) regr_1.fit(X, y) regr_2.fit(X, y) y_1 = regr_1.predict(X)...plt.plot(X, y_1, color=colors[1], label="n_estimators=1", linewidth=2)...scikit-learn.org/stable/_downloads/2da78c80da33b4e0d313b0a90b923ec8/plot_adaboost_regression.py -
plot_adaboost_regression.ipynb
\nregr_1.fit(X, y)\nregr_2.fit(X, y)\n\ny_1 = regr_1.predict(X)\ny_2...samples\")\nplt.plot(X, y_1, color=colors[1], label=\"n_estimators=1\", linew...scikit-learn.org/stable/_downloads/38e826c9e3778d7de78b2fc671fd7903/plot_adaboost_regression.ipynb -
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 -
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