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Model Complexity Influence — scikit-learn 1.7.2...
"tuned_params" : { "C" : 1e3 , "gamma" : 2 **- 15 },...( complexities , mse_values , c = "tab:blue" , ls = "-" )[ 0 ]...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
SVM Margins Example — scikit-learn 1.7.2 docume...
parameter C has on the separation line. A large value of C basically...separation. A small value of C includes more/all the observations,...scikit-learn.org/stable/auto_examples/svm/plot_svm_margin.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 -
Importance of Feature Scaling — scikit-learn 1....
"Optimal C for the unscaled PCA: { unscaled_clf [ - 1 ] . C_ [ 0...scaled_clf [ - 1 ] . C_ [ 0 ] : .2f } " ) Optimal C for the unscaled...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
Plot the decision surfaces of ensembles of tree...
c_ [ xx . ravel (), yy . ravel ()])...estimators_ : Z = tree . predict ( np . c_ [ xx . ravel (), yy . ravel ()])...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.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 -
DBFlute : Migration : 0.8.6
*Javaのみ(C#はもともとない) ConditionBean.union(XxxCB) *Javaのみ(C#はもともとない)...す。 allcommon.BFinder *Javaのみ(C#はもともとない) allcommon.GenMetaData...dbflute.seasar.org/ja/oldmigration/migrate-085to086.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 -
1.9. Naive Bayes — scikit-learn 1.7.2 documenta...
to class \(c\) , \(N_{c} = |\{ j \in J\mid y_j = c\}|\) is the...\sum_{j:y_j \neq c} d_{ij}} {\alpha + \sum_{j:y_j \neq c} \sum_{k} d_{kj}}\\w_{ci}...scikit-learn.org/stable/modules/naive_bayes.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