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Iso-probability lines for Gaussian Processes cl...
as np from matplotlib import cm from matplotlib import pyplot...plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8 , extent...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
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 -
Feature agglomeration vs. univariate selection ...
cm . RdBu_r ) plt . title ( "True...interpolation = "nearest" , cmap = plt . cm . RdBu_r ) plt . title ( "Feature...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Visualizing the stock market structure — scikit...
cm . nipy_spectral ) # Plot the...segments , zorder = 0 , cmap = plt . cm . hot_r , norm = plt . Normalize...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
SVM with custom kernel — scikit-learn 1.4.2 doc...
cm . Paired , ax = ax , response_method...[:, 1 ], c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
Non-linear SVM — scikit-learn 1.4.2 documentation
cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_svm_nonlinear.html -
Feature agglomeration — scikit-learn 1.4.2 docu...
cm . gray , vmax = 16 , interpolation...images_restored [ i ], cmap = plt . cm . gray , vmax = 16 , interpolation...scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html -
A demo of the Spectral Co-Clustering algorithm ...
cm . Blues ) plt . title ( "Original...matshow ( data , cmap = plt . cm . Blues ) plt . title ( "Shuffled...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html -
Sparse inverse covariance estimation — scikit-l...
cm . RdBu_r ) plt . xticks (())..., vmax = vmax , cmap = plt . cm . RdBu_r , ) plt . xticks (())...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
1.10. Decision Trees — scikit-learn 1.4.2 docum...
width (cm) <= 0.80 | |--- class: 0 |--- petal width (cm) > 0.80...width (cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75...scikit-learn.org/stable/modules/tree.html