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Results 11 - 20 of 194 for cms (0.04 sec)
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Empirical evaluation of the impact of k-means i...
cm as cm import matplotlib.pyplot as...my_members = km . labels_ == k color = cm . nipy_spectral ( float ( k )...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.html -
Image denoising using dictionary learning — sci...
cm . gray , interpolation = "nearest"...0.5 , vmax = 0.5 , cmap = plt . cm . PuOr , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Faces dataset decompositions — scikit-learn 1.5...
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 -
Recognizing hand-written digits — scikit-learn ...
range ( len ( cm )): for pred in range ( len ( cm )): y_true +=...[ gt ] * cm [ gt ][ pred ] y_pred += [ pred ] * cm [ gt ][ pred...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html -
RBF SVM parameters — scikit-learn 1.5.0 documen...
cm . RdBu ) plt . scatter ( X_2d...1 ], c = y_2d , cmap = plt . cm . RdBu_r , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
plot_classifier_comparison.ipynb
the dataset first\n cm = plt.cm.RdBu\n cm_bright = ListedColormap([\"#FF0000\",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n #...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
SVM: Weighted samples — scikit-learn 1.5.0 docu...
cm . bone ) axis . scatter ( X [:,..., alpha = 0.9 , cmap = plt . cm . bone , edgecolors = "black"...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
Nearest Neighbors Classification — scikit-learn...
[[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
Illustration of Gaussian process classification...
cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = ( 0 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
Face completion with a multi-output estimators ...
cm . gray , interpolation = "nearest"...( image_shape ), cmap = plt . cm . gray , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html