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  1. Visualizations with Display Objects — scikit-le...

    2 , figsize = ( 12 , 8 )) roc_display...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html
    Tue Sep 23 15:14:21 UTC 2025
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  2. FastICA on 2D point clouds — scikit-learn 1.7.2...

    subplot ( 2 , 2 , 2 ) plot_samples ( X / np ....1.5 , size = ( 20000 , 2 )) S [:, 0 ] *= 2.0 # Mix data A = np ....
    scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html
    Tue Sep 23 15:14:23 UTC 2025
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  3. type_of_target — scikit-learn 1.7.2 documentation

    2.0 ]) 'binary' >>> type_of_target ([ 1 , 0 , 2 ]) 'multiclass'...> 1. ‘binary’: y contains <= 2 discrete values and is 1d or a...
    scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html
    Tue Sep 23 15:14:21 UTC 2025
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  4. Combine predictors using stacking — scikit-lear...

    subplots ( 2 , 2 , figsize = ( 9 , 7 )) axs =...1 , encoded_missing_value =- 2 , ) num_tree_processor = SimpleImputer...
    scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html
    Tue Sep 23 15:14:21 UTC 2025
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  5. as_float_array — scikit-learn 1.7.2 documentation

    2 , 2 ], dtype = np . int64 ) >>>...array ) array([0., 0., 1., 2., 2.]) On this page This Page...
    scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html
    Tue Sep 23 15:14:23 UTC 2025
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  6. load_wine — scikit-learn 1.7.2 documentation

    2]) >>> list ( data . target_names...np.str_('class_1'), np.str_('class_2')] Gallery examples # Outlier...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html
    Tue Sep 23 15:14:21 UTC 2025
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  7. Comparison of Manifold Learning methods — sciki...

    subplots ( nrows = 2 , ncols = 2 , figsize = ( 7 , 7 ), facecolor...projections with matplotlib < 3.2 import mpl_toolkits.mplot3d #...
    scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html
    Tue Sep 23 15:14:21 UTC 2025
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  8. SVM: Weighted samples — scikit-learn 1.7.2 docu...

    n_features = 2 , n_informative = 2 , n_redundant = 0 ,..., axes = plt . subplots ( 1 , 2 , figsize = ( 14 , 6 )) plot_decision_function...
    scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
    Tue Sep 23 15:14:21 UTC 2025
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  9. 4. Metadata Routing — scikit-learn 1.7.2 docume...

    2 , size = n_samples ) >>> my_groups...of its underlying objects. 4.1.2. Weighted scoring and unweighted...
    scikit-learn.org/stable/metadata_routing.html
    Tue Sep 23 15:14:21 UTC 2025
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  10. Plot the support vectors in LinearSVC — scikit-...

    centers = 2 , random_state = 0 ) plt . figure...support_vector_indices ] plt . subplot ( 1 , 2 , i + 1 ) plt . scatter ( X [:,...
    scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html
    Tue Sep 23 15:14:21 UTC 2025
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