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make_regression — scikit-learn 1.8.0 documentation
n_informative = 10 , n_targets = 1 , bias = 0.0...features. n_informative int, default=10 The number of informative features,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
Image denoising using dictionary learning — sci...
subplot ( 10 , 10 , i + 1 ) plt . imshow ( comp...200 , alpha = 1.0 , max_iter = 10 , ) V = dico . fit ( data ) ....scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
Manifold Learning methods on a severed sphere —...
n_neighbors = 10 n_samples = 1000 # Create our...rainbow ) ax . view_init ( 40 , - 10 ) sphere_data = np . array ([...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
Guide de construction rapide
l’heure de début est 10:35 am, entrez 35 10 * * ? (le format est...fess.codelibs.org/fr/quick-start.html -
Configuración de Búsqueda Avanzada
El valor predeterminado es 10 segundos. query . timeout = 10000...más resultados, mostrando 1 - 10 (4.94 segundos) query . track...fess.codelibs.org/es/15.5/config/search-advanced.html -
GaussianMixture — scikit-learn 1.8.0 documentation
[ 10 , 2 ], [ 10 , 4 ], [ 10 , 0 ]]) >>> gm =...verbose = 0 , verbose_interval = 10 ) [source] # Gaussian Mixture....scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html -
Various Agglomerative Clustering on a 2D embedd...
nipy_spectral ( labels [ y == digit ] / 10 ), alpha = 0.5 , ) plt . xticks...linkage = linkage , n_clusters = 10 ) t0 = time () clustering . fit...scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html -
KMeans — scikit-learn 1.8.0 documentation
[ 10 , 2 ], [ 10 , 4 ], [ 10 , 0 ]]) >>> kmeans...depends on the value of init: 10 if using init='random' or init...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
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Decision boundary of semi-supervised classifier...
"LabelSpreading with 10 % la beled data" ) ls30 = ( LabelSpreading...), y_10 , "Self-training with 10 % la beled data" , ) st30 = (...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html