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  1. MethodMapping — scikit-learn 1.7.2 documentation

    Added in version 1.3. add ( * , caller , callee )...
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MethodMapping.html
    Wed Sep 17 19:57:58 UTC 2025
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  2. Regularization path of L1- Logistic Regression ...

    1 , 16 ) Create a pipeline with...i in range ( coefs_ . shape [ 1 ]): plt . semilogx ( cs , coefs_...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html
    Wed Sep 17 19:58:00 UTC 2025
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  3. MetaEstimatorMixin — scikit-learn 1.7.2 documen...

    Changed in version 1.6: The _required_parameters is...
    scikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html
    Wed Sep 17 19:58:00 UTC 2025
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  4. Comparison of LDA and PCA 2D projection of Iris...

    1 , 2 ], target_names ): plt . scatter...y == i , 0 ], X_r [ y == i , 1 ], color = color , alpha = 0.8...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html
    Wed Sep 17 19:58:00 UTC 2025
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  5. Comparing Random Forests and Histogram Gradient...

    row = 1 , col = 1 ) fig . add_trace ( line_trace , row = 1 , col...row = 1 , col = 2 ) fig . add_trace ( line_trace , row = 1 , col...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html
    Wed Sep 17 19:57:59 UTC 2025
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  6. Factor Analysis (with rotation) to visualize pa...

    vmin =- 1 , vmax = 1 ) ax . set_xticks ([ 0 , 1 , 2 , 3 ])...set_xticks ([ 0 , 1 ]) ax . set_xticklabels ([ "Comp. 1" , "Comp. 2"...
    scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html
    Wed Sep 17 19:58:00 UTC 2025
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  7. Scikit-learn governance and decision-making — s...

    page: Requires +1 by a core contributor, no -1 by a core contributor...changes require +1 by two core contributors, no -1 by a core contributor...
    scikit-learn.org/stable/governance.html
    Wed Sep 17 19:57:59 UTC 2025
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  8. An example of K-Means++ initialization — scikit...

    :: - 1 ] # Calculate seeds from k-means++...side sample data plt . figure ( 1 ) colors = [ "#4EACC5" , "#FF9C34"...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html
    Wed Sep 17 19:58:00 UTC 2025
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  9. top_k_accuracy_score — scikit-learn 1.7.2 docum...

    The best performance is 1 with normalize == True and the...>>> y_true = np . array ([ 0 , 1 , 2 , 2 ]) >>> y_score = np ....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html
    Wed Sep 17 19:57:58 UTC 2025
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  10. Support — scikit-learn 1.7.2 documentation

    Resources # This documentation is for 1.7.2. Documentation for other versions...
    scikit-learn.org/stable/support.html
    Wed Sep 17 19:57:59 UTC 2025
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