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Results 11 - 20 of 114 for cms (0.03 sec)
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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 -
Neighborhood Components Analysis Illustration —...
as np from matplotlib import cm from scipy.special import logsumexp...], X [ i , 1 ], s = 300 , c = cm . Set1 ( y [[ i ]]), alpha =...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
Manifold Learning methods on a severed sphere —...
cm . rainbow ) ax . view_init (...], c = colors , cmap = plt . cm . rainbow ) plt . title ( " %s...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
sklearn.tree.export_text — scikit-learn 1.4.2 d...
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/generated/sklearn.tree.export_text.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 -
Visualizations with Display Objects — scikit-le...
X_test ) cm = confusion_matrix ( y_test , y_pred ) cm_display...cm_display = ConfusionMatrixDispl ( cm ) . plot () Create RocCurveDisplay...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
Compressive sensing: tomography reconstruction ...
cm . gray , interpolation = "nearest"...imshow ( rec_l2 , cmap = plt . cm . gray , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.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