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  1. sort_graph_by_row_values — scikit-learn 1...

    2. ], ... [ 1. , 2. , 0. ]]) >>>.... data array([3., 1., 3., 2., 1., 2.]) >>> X_ = sort...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html
    Mon Mar 09 16:03:58 UTC 2026
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  2. kneighbors_graph — scikit-learn 1.8.0 doc...

    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 09 14:07:53 UTC 2026
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  3. RepeatedKFold — scikit-learn 1.8.0 docume...

    2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html
    Mon Mar 09 14:07:53 UTC 2026
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  4. compute_optics_graph — scikit-learn 1.8.0...

    2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...samples (rounded to be at least 2). max_eps float, default=np.inf...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html
    Mon Mar 09 14:07:57 UTC 2026
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  5. Gaussian Mixture Model Sine Curve — sciki...

    eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...mean_precision_prior = 1e-2 , covariance_prior = 1e0 * np . eye ( 2 ), init_params...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html
    Mon Mar 09 14:07:53 UTC 2026
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  6. Cluster analysis in R - IBM Developer

    diag( 2 ) * c( 2 , 1 ))) %>% mutate( class...diag( 2 ) * c( 1 , 3 ))) %>% mutate( class =factor( 2 )) cluster3...
    developer.ibm.com/tutorials/awb-cluster-analysis-in-r/
    Mon Feb 02 13:13:28 UTC 2026
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  7. 3.1. Cross-validation: evaluating estimator per...

    2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...
    scikit-learn.org/stable/modules/cross_validation.html
    Mon Mar 09 14:07:57 UTC 2026
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  8. 1.5. Stochastic Gradient Descent — scikit...

    := \frac{1}{2} \sum_{j=1}^{m} w_j^2 = ||w||_2^2\) , \(L_1\) norm:...>>> clf . predict ([[ 2. , 2. ]]) array([1]) SGD fits a...
    scikit-learn.org/stable/modules/sgd.html
    Mon Mar 09 14:07:54 UTC 2026
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  9. sphinx-design.min.css

    sd-g-2,.sd-gy-2{--sd-gutter-y: 0.5rem}.sd-g-2,.sd-gx-2{--sd-gutter-x:...!important}.sd-p-2{padding:.5rem !important}.sd-pt-2,.sd-py-2{padding-top:.5rem...
    scikit-learn.org/stable/_static/sphinx-design.min.css
    Mon Mar 09 14:07:56 UTC 2026
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  10. Single estimator versus bagging: bias-variance ...

    - ( x ** 2 )) + 1.5 * np . exp ( - (( x - 2 ) ** 2 )) def generate...{0} : {1:.4f} (error) = {2:.4f} (bias^2) " " + {3:.4f}...
    scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html
    Mon Mar 09 14:07:53 UTC 2026
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