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pairwise_kernels — scikit-learn 1.6.1 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 -
ward_tree — scikit-learn 1.6.1 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 -
estimate_bandwidth — scikit-learn 1.6.1 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 -
Plot classification probability — scikit-learn ...
shape [ 1 ] C = 10 kernel = 1.0 * RBF ([ 1.0 , 1.0 ]) # for...for { name } : { accuracy : 0.1% } " ) for label in np . unique...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
hamming_loss — scikit-learn 1.6.1 documentation
1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
RBF SVM parameters — scikit-learn 1.6.1 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 -
FeatureHasher and DictVectorizer Comparison — s...
{'that': 1, 'is': 2, 'one': 2, 'example': 1, 'but': 1, 'this':...'this': 1, 'another': 1}) Observe in particular that the repeated token...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
lars_path — scikit-learn 1.6.1 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 -
export_text — scikit-learn 1.6.1 documentation
(cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75 |...be used (“feature_0”, “feature_1”, …). class_names array-like of...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
shrunk_covariance — scikit-learn 1.6.1 document...
1 ) [source] # Calculate covariance...ndarray. shrinkage float, default=0.1 Coefficient in the convex combination...scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html