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Results 21 - 30 of 84 for cms (0.04 sec)
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Vector Quantization Example — scikit-learn 1.5....
cm . gray ) ax [ 0 ] . axis ( "off"...compressed_raccoon_uniform , cmap = plt . cm . gray ) ax [ 0 ] . axis ( "off"...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
Feature agglomeration vs. univariate selection ...
cm . RdBu_r ) plt . title ( "True...interpolation = "nearest" , cmap = plt . cm . RdBu_r ) plt . title ( "Feature...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Two-class AdaBoost — scikit-learn 1.5.0 documen...
cm . Paired , response_method =...idx , 1 ], c = c , cmap = plt . cm . Paired , s = 20 , edgecolor...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
Manifold learning on handwritten digits: Locall...
cm . binary ) ax . axis ( "off"...} $" , s = 60 , color = plt . cm . Dark2 ( digit ), alpha = 0.425...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
Iso-probability lines for Gaussian Processes cl...
as np from matplotlib import cm from matplotlib import pyplot...plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8 , extent...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
The Johnson-Lindenstrauss bound for embedding w...
cm . Blues ( np . linspace ( 0.3...( 2 , 6 , 5 ) colors = plt . cm . Blues ( np . linspace ( 0.3...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
Hierarchical clustering: structured vs unstruct...
cm . jet ( float ( l ) / np . max...label == l , 2 ], color = plt . cm . jet ( float ( l ) / np . max...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html -
Sparse inverse covariance estimation — scikit-l...
cm . RdBu_r ) plt . xticks (())..., vmax = vmax , cmap = plt . cm . RdBu_r , ) plt . xticks (())...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
Visualizing the stock market structure — scikit...
cm . nipy_spectral ) # Plot the...segments , zorder = 0 , cmap = plt . cm . hot_r , norm = plt . Normalize...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.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