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prism-toolbar.css
opacity: 1; } /* Separate line b/c rules are thrown out if selector...fess.codelibs.org/ja/_static/assets/vendor/prismjs/plugins/toolbar/prism-toolbar.css -
plot_release_highlights_1_5_0.py
or with conda:: conda install -c conda-forge scikit-learn """ #...classifier_05 = LogisticRegression(C=1e6, random_state=0).fit(X_train,...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
pydata-sphinx-theme.js
then((e=>{c[t]=e,r(a)}),(e=>{c[n]=e,r(a)}));var c={};return c[e]=e=>e(a),c}}var....r--?e.r++:e())))},c.a=(o,a,c)=>{var i;c&&((i=[]).d=-1);var d,s,l,u=new...scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js -
plot_classifier_comparison.py
C=0.025, random_state=42), SVC(gamma=2, C=1, random_state=42),...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k")...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
plot_classifier_comparison.ipynb
C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
plot_discretization_strategies.py
c_[xx.ravel(), yy.ravel()] ax.set_xlim(xx.min(),...scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie... -
plot_kmeans_digits.ipynb
c_[xx.ravel(), yy.ravel()])\n\n#...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
plot_discretization_strategies.ipynb
c_[xx.ravel(), yy.ravel()]\n\n ...scikit-learn.org/stable/_downloads/adc9be3b7acc279025dad9ee4ce92038/plot_discretization_strategie... -
plot_kmeans_digits.py
c_[xx.ravel(), yy.ravel()]) # Put...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py