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NearestCentroid — scikit-learn 1.7.0 documentation
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
contingency_matrix — scikit-learn 1.7.0 documen...
2 , 2 ] >>> labels_pred = [ 1 , 0 , 2 , 1 , 0 , 2 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html -
ermaster-b-eclipse-plugin.zip
2, 3, 3, 2, 2, 3, 2, 4, 3, 3, 3, 3, 3, 3, 2, 3, 3, 4,...font.Gradl.widths=4, 4, 3, 4, 3, 2, 4, 4, 2, 2, 4, 2, 5, 4, 4, 4, 4, 3, 3,...dbflute.seasar.org/download/misc/friends/ermaster-b-eclipse-plugin.zip -
Concatenating multiple feature extraction metho...
0s [CV 2/5; 2/18] START features__pca__n_components=1,...features__univ_select__k=1, svm__C=1 [CV 2/5; 2/18] END features__pca__n_components=1,...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
Friends - Maven | DBFlute
mystic-2.1.jar -> hangar-0.8.jar l M ↓ -> bigband-3.4.jar i 2 sea-1.5.jar...piari-1.0.jar -> dstore-2.0.jar -> oneman-2.5.jar ↑ +-↓ | <<< pom.xml...dbflute.seasar.org/ja/manual/topic/friends/maven/index.html -
hamming_loss — scikit-learn 1.7.0 documentation
2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...[ 1 , 1 ]]), np . zeros (( 2 , 2 ))) 0.75 Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
lars_path_gram — scikit-learn 1.7.0 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...copy_X = True , eps = np.float64(2.220446049250313e-16) , copy_Gram...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html -
Product — scikit-learn 1.7.0 documentation
takes two kernels \(k_1\) and \(k_2\) and combines them via \[k_{prod}(X,...\[k_{prod}(X, Y) = k_1(X, Y) * k_2(X, Y)\] Note that the __mul__ magic...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html -
Combine predictors using stacking — scikit-lear...
subplots ( 2 , 2 , figsize = ( 9 , 7 )) axs =...1 , encoded_missing_value =- 2 , ) num_tree_processor = SimpleImputer...scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html -
KNeighborsClassifier — scikit-learn 1.7.0 docum...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...'auto' , leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html