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pairwise_distances_chunked — scikit-learn...
2 >>> def reduce_func (...[array([0, 3]), array([1]), array([2]), array([0, 3]), array([4])]...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html -
nan_euclidean_distances — scikit-learn 1....
scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
make_moons — scikit-learn 1.8.0 documenta...
2 , random_state = 42 ) >>> X . shape (200, 2) >>>...n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
AgglomerativeClustering — scikit-learn 1....
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...AgglomerativeCluster ( n_clusters = 2 , * , metric = 'euclidean' , memory...scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html -
FeatureHasher and DictVectorizer Comparison ...
'is': 2, 'one': 2, 'example': 1,...FeatureHasher is 2**20. Here we set n_features = 2**18 to illustrate...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
Density Estimation for a Gaussian mixture ̵...
2 ) + np . array ([ 20 , 20 ]) #...random . randn ( n_samples , 2 ), C ) # concatenate the two datasets...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html -
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additive_chi2_kernel — scikit-learn 1.8.0...
-2.], [-2., -1.]]) On this page This...given by: k(x, y) = -Sum [(x - y)^2 / (x + y)] It can be interpreted...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html -
lars_path_gram — scikit-learn 1.8.0 docum...
float64(2.220446049250313e-16) , copy_Gram...case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html -
OneHotEncoder — scikit-learn 1.8.0 docume...
Features with 1 or more than 2 categories are left intact. array...(CSR) format. Added in version 1.2: sparse was renamed to sparse_output...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html