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sparse_encode — scikit-learn 1.7.1 documentation
1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>> dictionary...scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html -
polynomial_kernel — scikit-learn 1.7.1 document...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>..., degree = 2 ) array([[1. , 1. ], [1.77, 2.77]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.polynomial_kernel.html -
fetch_openml — scikit-learn 1.7.1 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...Added in version 1.2. Changed in version 1.4: The default value...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html -
Plot classification probability — scikit-learn ...
GaussianProcessClass ( kernel = 1.0 * RBF ([ 1.0 , 1.0 ])), "Logistic regression...LogisticRegression ( C = 0.1 ), "Logistic regression \n (C=1)" : LogisticRegression...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
pairwise_kernels — scikit-learn 1.7.1 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html -
estimate_bandwidth — scikit-learn 1.7.1 documen...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html -
ward_tree — scikit-learn 1.7.1 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...children ndarray of shape (n_nodes-1, 2) The children of each non-leaf...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
RBF SVM parameters — scikit-learn 1.7.1 documen...
1 , 1e2 ] gamma_2d_range = [ 1e-1 , 1 , 1e1 ] classifiers...{'C': np.float64(1.0), 'gamma': np.float64(0.1)} with a score of...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
kmeans_plusplus — scikit-learn 1.7.1 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...provided array. Added in version 1.3. x_squared_norms array-like...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
lars_path — scikit-learn 1.7.1 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...Xw ||^ 2_2 + alpha * || w || _1 in the case of method=’lar’, the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html