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  1. euclidean_distances — scikit-learn 1.7.dev0 doc...

    1 ], [ 1 , 1 ]] >>> # distance between...(n_samples_Y,) or (n_samples_Y, 1) or (1, n_samples_Y), default=None...
    scikit-learn.org/dev/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html
    Mon Dec 09 18:03:47 UTC 2024
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  2. make_checkerboard — scikit-learn 1.6.0 document...

    shape[1]) The indicators for cluster membership...for biclustering. References [ 1 ] Kluger, Y., Basri, R., Chang,...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_checkerboard.html
    Fri Dec 20 11:14:16 UTC 2024
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  3. make_friedman2 — scikit-learn 1.6.0 documentation

    1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html
    Fri Dec 20 11:14:16 UTC 2024
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  4. Comparing Linear Bayesian Regressors — scikit-l...

    1 , n_samples ) * 1.35 y = np . sqrt ( X...: y }) X = X . reshape (( - 1 , 1 )) # extrapolation X_plot =...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html
    Fri Dec 20 11:14:18 UTC 2024
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  5. contingency_matrix — scikit-learn 1.6.0 documen...

    labels_pred ) array([[1, 1, 0], [0, 1, 1], [1, 0, 1]]) On this page..., 0 , 1 , 1 , 2 , 2 ] >>> labels_pred = [ 1 , 0 , 2 , 1 , 0 ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html
    Fri Dec 20 11:14:16 UTC 2024
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  6. Comparing various online solvers — scikit-learn...

    tol = 1e-1 , C = 1.0e4 / X . shape [ 0 ]), ), ] xx = 1.0 - np ....= 110 , loss = "hinge" , C = 1.0 , tol = 1e-4 ), ), ( "Passive-Aggressive...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html
    Fri Dec 20 11:14:14 UTC 2024
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  7. cosine_distances — scikit-learn 1.6.0 documenta...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...cosine_distances ( X , Y ) array([[1. , 1. ], [0.42..., 0.18...]]) On...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html
    Fri Dec 20 11:14:16 UTC 2024
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  8. empirical_covariance — scikit-learn 1.6.0 docum...

    >>> X = [[ 1 , 1 , 1 ],[ 1 , 1 , 1 ],[ 1 , 1 , 1 ], ... [ 0 ,...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html
    Fri Dec 20 11:14:16 UTC 2024
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  9. make_blobs — scikit-learn 1.6.0 documentation

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...2) >>> y array([0, 0, 1, 0, 2, 2, 2, 1, 1, 0]) >>> X , y = make_blobs...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html
    Fri Dec 20 11:14:14 UTC 2024
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  10. laplacian_kernel — scikit-learn 1.6.0 documenta...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...K(x, y) = exp(-gamma ||x-y||_1) for each pair of rows x in X...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html
    Fri Dec 20 11:14:16 UTC 2024
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