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Results 31 - 40 of 194 for cms (0.04 sec)
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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 1.5.0 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 -
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 -
Selecting the number of clusters with silhouett...
cm as cm import matplotlib.pyplot as...y_lower + size_cluster_i color = cm . nipy_spectral ( float ( i )...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
Post-tuning the decision threshold for cost-sen...
pos_label ): cm = confusion_matrix ( y , y_pred...pos_label ]) tn , fp , _ , _ = cm . ravel () tnr = tn / ( tn +...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Non-linear SVM — scikit-learn 1.4.2 documentation
cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_svm_nonlinear.html -
Logistic Regression 3-class Classifier — scikit...
cm . Paired , ax = ax , response_method...edgecolors = "k" , cmap = plt . cm . Paired ) plt . xticks (())...scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.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 -
A demo of structured Ward hierarchical clusteri...
cm . gray ) for l in range ( n_clusters...label == l , colors = [ plt . cm . nipy_spectral ( l / float (...scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html -
Kernel Density Estimation — scikit-learn 1.5.0 ...
cm . binary , interpolation = "nearest"...reshape (( 8 , 8 )), cmap = plt . cm . binary , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html