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LinearSVC — scikit-learn 1.8.0 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 -
SVM: Separating hyperplane for unbalanced class...
C = 1.0 ) clf . fit ( X , y ) #...scatter ( X [:, 0 ], X [:, 1 ], c = y , cmap = plt . cm . Paired...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane_unbalanced.html -
Neighborhood Components Analysis Illustration —...
c = cm . Set1 ( y [[ i ]]), alpha...[ 1 ]]) ax . plot ( * line , c = cm . Set1 ( y [ j ]), linewidth...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
3.2. Tuning the hyper-parameters of an estimato...
Typical examples include C , kernel and gamma for Support...param_grid : param_grid = [ { 'C' : [ 1 , 10 , 100 , 1000 ], 'kernel'...scikit-learn.org/stable/modules/grid_search.html -
LogisticRegressionCV — scikit-learn 1.8.0 docum...
validation for the penalty parameters C and l1_ratio , see LogisticRegression...folds, and the coefs and the C that corresponds to the best score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
Bisecting K-Means and Regular K-Means Performan...
c = algo . labels_ ) axs [ j , i...centers [:, 0 ], centers [:, 1 ], c = "r" , s = 20 ) axs [ j , i ]...scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html -
SVM: Weighted samples — scikit-learn 1.8.0 docu...
sample weighting rescales the C parameter, which means that the...X_plot [:, 0 ], X_plot [:, 1 ], c = y_plot , s = 100 * sample_weight...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
Connecteur base de donnees
p JOIN categories c ON p . category_id = c . id WHERE p . active...p . description , p . price , c . name as category , p . updated_at...fess.codelibs.org/fr/15.5/config/datastore/ds-database.html -
pair_confusion_matrix — scikit-learn 1.8.0 docu...
The pair confusion matrix \(C\) computes a 2 by 2 similarity...labels to evaluate. Returns : C ndarray of shape (2, 2), dtype=np.int64...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
Plot classification boundaries with different S...
the C parameter is set to its default value ( C=1 ) in this...is applied with the parameter C=1 , which allows for a certain...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html