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The Digit Dataset — scikit-learn 1.4.2 document...
cm . gray_r , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/datasets/plot_digits_last_image.html -
plot_pca_iris.rst.txt
cm.nipy_spectral, edgecolor="k")...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
Kernel Density Estimate of Species Distribution...
cm . Reds ) if basemap : print (...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
SGD: Maximum margin separating hyperplane — sci...
cm . Paired , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html -
Probability calibration of classifiers — scikit...
as plt from matplotlib import cm plt . figure () y_unique = np...np . unique ( y ) colors = cm . rainbow ( np . linspace ( 0.0...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
SVM: Maximum margin separating hyperplane — sci...
cm . Paired ) # plot the decision...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
Plot the support vectors in LinearSVC — scikit-...
cm . Paired ) ax = plt . gca ()...scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html -
pygments.css
cm { color: #408090; font-style:...scikit-learn.org/stable/_static/pygments.css -
SVM: Separating hyperplane for unbalanced class...
cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
Demo of affinity propagation clustering algorit...
cm . viridis ( np . linspace ( 0...scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html