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  1. kmeans_plusplus — scikit-learn 1.8.0 documentation

    2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...n_clusters = 2 , random_state = 0 ) >>> centers array([[10, 2], [ 1,...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html
    Mon Mar 23 20:39:23 UTC 2026
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  2. hamming_loss — scikit-learn 1.8.0 documentation

    2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...[ 1 , 1 ]]), np . zeros (( 2 , 2 ))) 0.75 Gallery examples #...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. 1.6. Nearest Neighbors — scikit-learn 1.8.0 doc...

    2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...
    scikit-learn.org/stable/modules/neighbors.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. mutual_info_classif — scikit-learn 1.8.0 docume...

    [ 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_classif.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. rand_score — scikit-learn 1.8.0 documentation

    of Classification 2, 193–218 (1985). . [ 2 ] Wikipedia: Simple...predicted and true clusterings [1] [2] . The raw RI score [3] is: RI...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html
    Mon Mar 23 20:39:23 UTC 2026
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  6. 1.7. Gaussian Processes — scikit-learn 1.8.0 do...

    log-transformed [[ -inf 2.30258509] [ -inf 2.30258509] [ -inf 2.30258509]]...\left(1 + \frac{d(x_i, x_j)^2}{2\alpha l^2}\right)^{-\alpha}\] The...
    scikit-learn.org/stable/modules/gaussian_process.html
    Mon Mar 23 20:39:21 UTC 2026
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  7. Novelty detection with Local Outlier Factor (LO...

    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/neighbors/plot_lof_novelty_detection.html
    Mon Mar 23 20:39:22 UTC 2026
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  8. kneighbors_graph — scikit-learn 1.8.0 documenta...

    p = 2 , metric_params = None , include_self...standard Euclidean distance when p = 2. See the documentation of scipy.spatial.distance...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html
    Mon Mar 23 20:39:23 UTC 2026
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  9. Lasso — scikit-learn 1.8.0 documentation

    [ 2 , 2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1)...\(||y||_2^2 / n_{\text{samples}}\) . The target can be a 2-dimensional...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. Plot the decision surfaces of ensembles of tree...

    2 , w_pad = 0.2 , pad = 2.5 ) plt . show ()...pair in ([ 0 , 1 ], [ 0 , 2 ], [ 2 , 3 ]): for model in models...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html
    Mon Mar 23 20:39:20 UTC 2026
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