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SVC — scikit-learn 1.8.0 documentation
[ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>> y = np...np . array ([ 1 , 1 , 2 , 2 ]) >>> from sklearn.svm import SVC...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
Beginner's guide to Python
then try the following: >>> 2 + 2 Copy code You should get the...1 , 2 , 3 , 4 , 5 , 6 ] evens = [n for n in nums if n % 2 == 0...developer.ibm.com/tutorials/python-beginners-guide/ -
Gaussian Mixture Model Sine Curve — scikit-lear...
eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...mean_precision_prior = 1e-2 , covariance_prior = 1e0 * np . eye ( 2 ), init_params...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
mutual_info_regression — scikit-learn 1.8.0 doc...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
1.4. Support Vector Machines — scikit-learn 1.8...
[ 2 , 2 ]] >>> y = [ 0.5 , 2.5 ] >>> regr = svm...values: >>> clf . predict ([[ 2. , 2. ]]) array([1]) SVMs decision...scikit-learn.org/stable/modules/svm.html -
One-Class SVM versus One-Class SVM using Stocha...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
check_symmetric — scikit-learn 1.8.0 documentation
2 ], [ 1 , 0 , 1 ], [ 2 , 1 , 0 ]]) >>> check_symmetric...symmetric_array ) array([[0, 1, 2], [1, 0, 1], [2, 1, 0]]) >>> from scipy.sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_symmetric.html -
Swiss Roll And Swiss-Hole Reduction — scikit-le...
n_components = 2 ) sr_tsne = manifold . TSNE ( n_components = 2 , perplexity...n_components = 2 ) sh_tsne = manifold . TSNE ( n_components = 2 , perplexity...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
Multi-dimensional scaling — scikit-learn 1.8.0 ...
X_true ** 2 ) . sum ()) / np . sqrt (( X_nmds ** 2 ) . sum ())...X_true = rng . randint ( 0 , 20 , 2 * n_samples ) . astype ( float...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Two-class AdaBoost — scikit-learn 1.8.0 documen...
cov = 2.0 , n_samples = 200 , n_features = 2 , n_classes = 2 , random_state...= 300 , n_features = 2 , n_classes = 2 , random_state = 1 ) X...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html