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Classifier comparison — scikit-learn 1.4.2 docu...
the dataset first cm = plt . cm . RdBu cm_bright = ListedColormap...[:, 1 ], c = y_train , cmap = cm_bright , edgecolors = "k" ) #...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Feature discretization — scikit-learn 1.4.2 doc...
9 ) ) cm_piyg = plt . cm . PiYG cm_bright = ListedColormap...[:, 1 ], c = y_train , cmap = cm_bright , edgecolors = "k" ) #...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
A demo of the Spectral Biclustering algorithm —...
cm . Blues ) plt . title ( "Original...matshow ( data , cmap = plt . cm . Blues ) plt . title ( "Shuffled...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html -
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 -
Release Highlights for scikit-learn 1.2 — sciki...
length (cm) sepal width (cm) petal length (cm) petal width (cm) 114...= [ "sepal length (cm)" , "sepal width (cm)" ] petal_cols = [...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.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 -
Faces dataset decompositions — scikit-learn 1.4...
cm . gray ): fig , axs = plt . subplots...( image_shape ), cmap = plt . cm . gray , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html -
Introducing the set_output API — scikit-learn 1...
length (cm) sepal width (cm) petal length (cm) petal width (cm) 60...length (cm) sepal width (cm) petal length (cm) petal width (cm) 39...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Varying regularization in Multi-layer Perceptro...
the dataset first cm = plt . cm . RdBu cm_bright = ListedColormap...[:, 1 ], c = y_train , cmap = cm_bright ) # and testing points...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.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