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  1. Decision boundary of semi-supervised classifier...

    = { - 1 : ( 1 , 1 , 1 ), 0 : ( 0 , 0 , 0.9 ), 1 : ( 1 , 0 , 0...() - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html
    Mon Jun 09 10:16:42 UTC 2025
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  2. Decision Boundaries of Multinomial and One-vs-R...

    1.5 ], [ 5 , - 1 ]] X , y = make_blobs ( n_samples = 1_000...centered around [-5, 0], [0, 1.5], and [5, -1]. After generation, we...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html
    Mon Jun 09 10:16:42 UTC 2025
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  3. 9.3. Parallelism, resource management, and conf...

    1.1. Higher-level parallelism with...management, and configuration # 9.3.1. Parallelism # Some scikit-learn...
    scikit-learn.org/stable/computing/parallelism.html
    Mon Jun 09 10:16:42 UTC 2025
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  4. Topic extraction with Non-negative Matrix Facto...

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Faces recognition...iterations). Loading dataset... done in 1.156s. Extracting tf-idf features...
    scikit-learn.org/stable/auto_examples/applications/plot_topics_extraction_with_nmf_lda.html
    Mon Jun 09 10:16:44 UTC 2025
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  5. homogeneity_completeness_v_measure — scikit-lea...

    1 , 1 , 2 , 2 ], [ 0 , 0 , 1 , 2 , 2 , 2 ] >>>...float Score between 0.0 and 1.0. 1.0 stands for perfectly homogeneous...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html
    Mon Jun 09 10:16:44 UTC 2025
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  6. Post pruning decision trees with cost complexit...

    plot ( ccp_alphas [: - 1 ], impurities [: - 1 ], marker = "o" , drawstyle...clfs [ - 1 ] . tree_ . node_count , ccp_alphas [ - 1 ] ) ) Number...
    scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html
    Mon Jun 09 10:16:42 UTC 2025
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  7. Plot the decision surfaces of ensembles of tree...

    () - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...min () - 1 , X [:, 1 ] . max () + 1 xx , yy = np . meshgrid (...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html
    Mon Jun 09 10:16:44 UTC 2025
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  8. johnson_lindenstrauss_min_dim — scikit-learn 1....

    defined by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u...]0, 1[ and p is a projection by a random Gaussian N(0, 1) matrix...
    scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim...
    Fri Jun 06 09:13:46 UTC 2025
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  9. scikit-learn: machine learning in Python — scik...

    scikit-learn 1.8 (Changelog) . June 2025. scikit-learn 1.7.0 is available...January 2025. scikit-learn 1.6.1 is available for download (...
    scikit-learn.org/stable/index.html
    Mon Jun 09 10:16:44 UTC 2025
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  10. Empirical evaluation of the impact of k-means i...

    mean ( axis = 1 ), inertia . std ( axis = 1 ), fmt = format...using a init="random" and n_init=1 . This run leads to a bad convergence...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_stability_low_dim_dense.html
    Mon Jun 09 10:16:44 UTC 2025
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