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Feature discretization — scikit-learn 1.7.2 doc...
{ "logisticregression__C" : np . logspace ( - 1 , 1 , 3...random_state = 0 )), { "linearsvc__C" : np . logspace ( - 1 , 1 , 3...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
SVM Tie Breaking Example — scikit-learn 1.7.2 d...
C = 1 , break_ties = break_ties...) pred = svm . predict ( np . c_ [ xx . ravel (), yy . ravel ()])...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
Changelog | DBFlute
(DBFLUTE-1145){Java/C#}: 外だしSQLのコメントを必須にする未来オプション (DBFLUTE-1144){Java/C#}: 未...(DBFLUTE-1143){Java/C#}: DBFluteのModuleアップグレードをするタスク (DBFLUTE-1142){Java/C#}:...dbflute.seasar.org/ja/environment/changelog/index.html -
RBF SVM parameters — scikit-learn 1.7.2 documen...
use the smaller C values, since very high C values typically...dict ( gamma = gamma_range , C = C_range ) cv = StratifiedShuffleSpl...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
pair_confusion_matrix — scikit-learn 1.7.2 docu...
negatives is \(C_{00}\) , false negatives is \(C_{10}\) , true...positives is \(C_{11}\) and false positives is \(C_{01}\) . Read...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
Classifier comparison — scikit-learn 1.7.2 docu...
C = 0.025 , random_state = 42 ), SVC ( gamma = 2 , C = 1...X_train [:, 0 ], X_train [:, 1 ], c = y_train , cmap = cm_bright ,...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Two-class AdaBoost — scikit-learn 1.7.2 documen...
c = c , s = 20 , edgecolor = "k" ,...the training points for i , n , c in zip ( range ( 2 ), class_names...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
7.8. Pairwise metrics, Affinities and Kernels —...
c ) <= d ( a , b ) + d ( b , c ), the triangle...d(a, b) such that d(a, b) < d(a, c) if objects a and b are considered...scikit-learn.org/stable/modules/metrics.html -
Demonstration of k-means assumptions — scikit-l...
c = y ) axs [ 0 , 0 ] . set_title...X_aniso [:, 0 ], X_aniso [:, 1 ], c = y ) axs [ 0 , 1 ] . set_title...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Support Vector Regression (SVR) using linear an...
C = 100 , gamma = 0.1 , epsilon...svr_lin = SVR ( kernel = "linear" , C = 100 , gamma = "auto" ) svr_poly...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html