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Comparing various online solvers — scikit-learn...
C = 1.0 , tol = 1e-4 ), ), ( "Passive-Aggressive...110 , loss = "squared_hinge" , C = 1.0 , tol = 1e-4 ), ), ( "SAG"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
Compare BIRCH and MiniBatchKMeans — scikit-lear...
c = "w" , edgecolor = col , marker...this_centroid [ 1 ], marker = "+" , c = "k" , s = 25 ) ax . set_ylim...scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html -
SVM: Weighted samples — scikit-learn 1.5.0 docu...
sample weighting rescales the C parameter, which means that the...classifier . decision_function ( np . c_ [ xx . ravel (), yy . ravel ()])...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
LinearSVC — scikit-learn 1.5.0 documentation
the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'auto' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
contingency_matrix — scikit-learn 1.5.0 documen...
n_classes_pred] Matrix \(C\) such that \(C_{i, j}\) is the number...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html -
Visualizing cross-validation behavior in scikit...
c = groups , marker = "_" , lw =...)), [ 3.5 ] * len ( groups ), c = classes , marker = "_" , lw...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html -
CategoricalNB — scikit-learn 1.5.0 documentation
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
PLSSVD — scikit-learn 1.5.0 documentation
) >>> X_c , y_c = pls . transform ( X , y ) >>> X_c . shape ,..., y_c . shape ((4, 2), (4, 2)) fit ( X , y = None , Y = None...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
Varying regularization in Multi-layer Perceptro...
c = y_train , cmap = cm_bright )...X_test [:, 0 ], X_test [:, 1 ], c = y_test , cmap = cm_bright ,...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html -
Nearest Centroid Classification — scikit-learn ...
"c" , "darkblue" ]) for shrinkage...scatter ( X [:, 0 ], X [:, 1 ], c = y , cmap = cmap_bold , edgecolor...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html