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  1. Robust linear model estimation using RANSAC — s...

    n_features = 1 , n_informative = 1 , noise = 10 , coef...normal ( size = ( n_outliers , 1 )) y [: n_outliers ] = - 3 + 10...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html
    Mon Oct 13 16:40:51 UTC 2025
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  2. Multilabel classification — scikit-learn 1.7.2 ...

    1 ]) max_y = np . max ( X [:, 1 ]) classif = OneVsRestClassifier...[:, 1 ]) . nonzero () plt . scatter ( X [:, 0 ], X [:, 1 ], s...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html
    Mon Oct 13 16:40:51 UTC 2025
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  3. Quantile regression — scikit-learn 1.7.2 docume...

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Lagged features...axs [ 1 , 0 ] . set_xlabel ( "Residuals" ) _ = axs [ 1 , 1 ] ....
    scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html
    Mon Oct 13 16:40:52 UTC 2025
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  4. is_multilabel — scikit-learn 1.7.2 documentation

    1 , 0 , 1 ]) False >>> is_multilabel ([[ 1 ], [ 0 ,...is_multilabel ( np . array ([[ 1 , 0 ], [ 0 , 0 ]])) True >>> is_multilabel...
    scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.is_multilabel.html
    Thu Oct 09 16:57:48 UTC 2025
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  5. Getting Started — scikit-learn 1.7.2 documentation

    dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...transform ( X ) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...
    scikit-learn.org/stable/getting_started.html
    Mon Oct 13 16:40:52 UTC 2025
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  6. EmpiricalCovariance — scikit-learn 1.7.2 docume...

    Added in version 1.0. See also EllipticEnvelope An...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html
    Mon Oct 13 16:40:52 UTC 2025
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  7. A demo of the Spectral Co-Clustering algorithm ...

    consensus score: 1.000 # Authors: The scikit-learn...permutation ( data . shape [ 1 ]) data = data [ row_idx ][:,...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html
    Mon Oct 13 16:40:52 UTC 2025
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  8. 9.2. Computational Performance — scikit-learn 1...

    1.1. Bulk versus Atomic mode # In...data as more complex ones. 9.2.1. Prediction Latency # One of the...
    scikit-learn.org/stable/computing/computational_performance.html
    Mon Oct 13 16:40:52 UTC 2025
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  9. Inductive Clustering — scikit-learn 1.7.2 docum...

    cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...
    scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html
    Mon Oct 13 16:40:51 UTC 2025
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  10. Comparison between grid search and successive h...

    1e-1 , 1e-2 , 1e-3 , 1e-4 , 1e-5 , 1e-6 , 1e-7 ] Cs = [ 1 , 10...
    scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html
    Mon Oct 13 16:40:52 UTC 2025
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