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Map data to a normal distribution — scikit-lear...
figaspect ( 2 )) axes = axes . flatten () axes_idxs..., 9 ), ( 1 , 4 , 7 , 10 ), ( 2 , 5 , 8 , 11 ), ( 12 , 15 , 18...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
make_regression — scikit-learn 1.7.2 documentation
n_features = 2 , noise = 1 , random_state = 42...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
Scaling the regularization parameter for SVCs —...
logspace ( - 2.3 , - 1.3 , 10 ) train_sizes =...param_range = Cs , cv = cv , n_jobs = 2 , ) results [ label ] = test_scores...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
Neighborhood Components Analysis Illustration —...
n_features = 2 , n_informative = 2 , n_redundant = 0 ,...fit ( X , y ) plt . figure ( 2 ) ax2 = plt . gca () X_embedded...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
Feature importances with a forest of trees — sc...
n_classes = 2 , random_state = 0 , shuffle =...max_depth None min_samples_split 2 min_samples_leaf 1 min_weight_fraction_leaf...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
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 -
explained_variance_score — scikit-learn 1.7.2 d...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> ...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
Part 11: Single sign-on with Fess
2. You can get the Fess ZIP file...fess.codelibs.org/articles/11/document.html -
Visualization of MLP weights on MNIST — scikit-...
44139186 Iteration 2, loss = 0.19174891 Iteration 3,...= 1 , learning_rate_init = 0.2 , ) # this example won't converge...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
pair_confusion_matrix — scikit-learn 1.7.2 docu...
2 ], [ 0 , 0 , 1 , 1 ]) array([[8, 2], [0, 2]]... Note...confusion matrix \(C\) computes a 2 by 2 similarity matrix between two...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html