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Comparison of kernel ridge and Gaussian process...
label = "True signal" , linewidth = 2 , linestyle = "dashed"...), label = "Kernel ridge" , linewidth = 2 , linestyle = "dashdot"...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
plot_release_highlights_1_7_0.rst.txt
y: ========== Release Highlights for scikit-learn 1.7 ==========...========== .. currentmodule:: sklearn We are pleased to announce the...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_7_0.r... -
Gradient Boosting Out-of-Bag estimates — scikit...
n_splits = None ): cv = KFold ( n_splits = n_splits ) cv_clf = ensemble...) x1 = random_state . uniform ( size = n_samples ) x2 = random_state...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
国際・科学の記事一覧 - goo
<input type="hidden" name="news_id" value=""> <input type="hidden"...type="hidden" name="cp_id" value=""> <input type="hidden" name="inview_param"...www.goo.ne.jp/ -
paired_distances — scikit-learn 1.7.2 documenta...
paired_distances >>> X = [[ 0 , 1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [...paired_distances ( X , Y , * , metric = 'euclidean' , ** kwds ) [source]...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html -
auc — scikit-learn 1.7.2 documentation
y_true = np . array ([ 1 , 1 , 2 , 2 ]) >>> y_score = np . array...thresholds = metrics . roc_curve ( y_true , y_score , pos_label = 2 )...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
Receiver Operating Characteristic (ROC) with cr...
curve_kwargs_list = [ dict ( alpha = 0.3 , lw = 1 , color = colors [ fold...target_names X , y = iris . data , iris . target X , y = X [ y != 2 ], y...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
Understanding the decision tree structure — sci...
iris = load_iris () X = iris . data y = iris . target...y_test = train_test_split ( X , y , random_state = 0 ) clf = DecisionTreeClassifi...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
ClusterMixin — scikit-learn 1.7.2 documentation
y = None ): ... self . labels_ = np . ones ( shape = ( len...),), dtype = np . int64 ) ... return self >>> X = [[ 1 , 2 ],...scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html -
Support Vector Regression (SVR) using linear an...
# svr_rbf = SVR ( kernel = "rbf" , C = 100 , gamma = 0.1 , epsilon...epsilon = 0.1 ) svr_lin = SVR ( kernel = "linear" , C = 100 , gamma...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html