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Results 1 - 5 of 5 for cms (0.07 seconds)
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plot_classifier_comparison.py
just plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...from_estimator( clf, X, cmap=cm, alpha=0.8, ax=ax, eps=0.5 )...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
plot_classifier_comparison.rst.txt
just plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...from_estimator( clf, X, cmap=cm, alpha=0.8, ax=ax, eps=0.5 )...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
plot_classifier_comparison.ipynb
plot the dataset first\n cm = plt.cm.RdBu\n cm_bright = Liste...om_estimator(\n clf, X, cmap=cm, alpha=0.8, ax=ax, eps=0.5\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
plot_kmeans_digits.py
cm.Paired, aspect="auto", origin="lower",...scikit-learn.org/stable/_downloads/5a87b25ba023ee709595b8d02049f021/plot_kmeans_digits.py -
plot_kmeans_digits.ipynb
cm.Paired,\n aspect=\"auto\",\n...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb