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Results 1 - 9 of 9 for cms (0.03 sec)
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plot_classifier_comparison.py
plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k") # Plot...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
plot_classifier_comparison.ipynb
the dataset first\n cm = plt.cm.RdBu\n cm_bright = ListedColormap([\"#FF0000\",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n #...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
plot_classifier_comparison.rst.txt
plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors="k") # Plot...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
plot_pca_iris.py
cm.nipy_spectral, edgecolor="k")...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py -
plot_pca_iris.rst.txt
cm.nipy_spectral, edgecolor="k")...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
pygments.css
cm { color: #408090; font-style:...scikit-learn.org/stable/_static/pygments.css -
plot_pca_iris.ipynb
cm.nipy_spectral, edgecolor=\"k...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb -
plot_kmeans_digits.ipynb
cm.Paired,\n aspect=\"auto\",\n...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
plot_kmeans_digits.py
cm.Paired, aspect="auto", origin="lower",...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py