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Results 31 - 40 of 124 for cms (0.05 sec)
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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 -
Vector Quantization Example — scikit-learn 1.7....
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 -
Segmenting the picture of greek coins in region...
cm . gray ) plt . xticks (()) plt...n_regions ): colors = [ plt . cm . nipy_spectral (( l + 4 ) /...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
SVM with custom kernel — scikit-learn 1.7.0 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 -
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 -
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.... -
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 -
RBF SVM parameters — scikit-learn 1.7.0 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 -
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 -
S2ClassBuilder | DBFlute
cms.classbuilder.impl.RedefinableXmlS2Cont"...<component class="org.seasar.cms.classbuilder.impl.RedefinableResourceR"...dbflute.seasar.org/ja/manual/topic/friends/seasar/s2classbuilder.html