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Nearest Centroid Classification — scikit-learn ...
1 ], c = y , cmap = cmap_bold ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
Balance model complexity and cross-validated sc...
within 1 standard deviation of the best accuracy score. [1] Hastie,...test_scores , axis = 1 ) - np . std ( test_scores , axis = 1 ), np . mean...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
Joint feature selection with multi-task Lasso —...
ylim ([ - 1.1 , 1.1 ]) plt . show () Total running...(( 1.0 + rng . randn ( 1 )) * times + 3 * rng . randn ( 1 ))...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
plot_tree — scikit-learn 1.7.1 documentation
“x[1]”, …). class_names array-like...scikit-learn.org/stable/modules/generated/sklearn.tree.plot_tree.html -
maxabs_scale — scikit-learn 1.7.1 documentation
1 , 2 ], [ - 1 , 0 , 1 ]] >>> maxabs_scale...column independently array([[-1. , 1. , 1. ], [-0.5, 0. , 0.5]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
robust_scale — scikit-learn 1.7.1 documentation
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>> robust_scale...robust_scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> robust_scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html -
hinge_loss — scikit-learn 1.7.1 documentation
[ 1 ]] >>> y = [ - 1 , 1 ] >>> est = svm . LinearSVC...0.09]) >>> hinge_loss ([ - 1 , 1 , 1 ], pred_decision ) 0.30 In...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
euclidean_distances — scikit-learn 1.7.1 docume...
1 ], [ 1 , 1 ]] >>> # distance between...(n_samples_Y,) or (n_samples_Y, 1) or (1, n_samples_Y), default=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html -
Gradient Boosting regularization — scikit-learn...
random_state = 1 ) # map labels from {-1, 1} to {0, 1} labels , y...{ "learning_rate" : 1.0 , "subsample" : 1.0 }), ( "learning_rate=0.2"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
paired_distances — scikit-learn 1.7.1 documenta...
1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>> paired_distances...distances between (X[0], Y[0]), (X[1], Y[1]), etc… Read more in the User...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html