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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 -
RBF SVM parameters — scikit-learn 1.4.2 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 -
SVM: Weighted samples — scikit-learn 1.4.2 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 -
auto_examples_python.zip
plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...range(len(cm)): for pred in range(len(cm)): y_true += [gt] * cm[gt][pred]...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
plot_pca_iris.py
cm.nipy_spectral, edgecolor="k")...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py -
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 -
Plot classification probability — scikit-learn ...
as np from matplotlib import cm from sklearn import datasets..."Probability" ) _ = plt . colorbar ( cm . ScalarMappable ( norm = None...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
PCA example with Iris Data-set — scikit-learn 1...
cm . nipy_spectral , edgecolor =...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html