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  1. all_functions scikit-learn 1.7.2 documentation

    utils.discovery. all_functions ( ) [source] # Get a list of all functions...all_functions () >>> name , function = functions [ 0 ] >>> name 'accuracy_score'...
    scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_functions.html
    Mon Sep 22 13:26:33 UTC 2025
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  2. assert_all_finite scikit-learn 1.7.2 document...

    np . array ([ 1 , np . inf , np . nan , 4 ]) >>> try : ... assert_all_finite...finite values." ) ... except ValueError : ... print ( "Test failed:...
    scikit-learn.org/stable/modules/generated/sklearn.utils.assert_all_finite.html
    Mon Sep 22 13:26:32 UTC 2025
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  3. add_dummy_feature scikit-learn 1.7.2 document...

    add_dummy_feature ([[ 0 , 1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...sklearn.preprocessing. add_dummy_feature ( X , value = 1.0 ) [source] # Augment...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html
    Mon Sep 22 13:26:35 UTC 2025
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  4. check_X_y scikit-learn 1.7.2 documentation

    check_X_y ( X , y ) >>> X array([[1, 2], [3, 4], [5, 6]]) >>> y array([1,...finite. False: accepts np.inf, np.nan, pd.NA in X. allow-nan’:...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html
    Mon Sep 22 13:26:33 UTC 2025
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  5. inplace_swap_row scikit-learn 1.7.2 documenta...

    todense () matrix([[8, 0, 2], [0, 0, 5], [0, 0, 0], [0, 0, 0]]) >>>...matrix([[0, 0, 5], [8, 0, 2], [0, 0, 0], [0, 0, 0]]) On this page...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_row.html
    Mon Sep 22 13:26:32 UTC 2025
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  6. incr_mean_variance_axis scikit-learn 1.7.2 do...

    todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0, 0, 0]]) >>>...2 ... ) (array([1.33, 0.167, 1.17]), array([8.88, 0.139, 3.47]),...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html
    Mon Sep 22 13:26:34 UTC 2025
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  7. ExtraTreeClassifier scikit-learn 1.7.2 docume...

    be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...criterion {gini, entropy, log_loss}, default=gini The function...
    scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html
    Mon Sep 22 13:26:33 UTC 2025
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  8. Column Transformer with Heterogeneous Data Sour...

    = ( "footers" , "quotes" ), return_X_y = True , ) Each feature...text ), "num_sentences" : text . count ( "." )} for text in posts...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html
    Mon Sep 22 13:26:34 UTC 2025
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  9. Column Transformer with Mixed Types scikit-le...

    gy='median')), ('scaler', StandardScaler())]), ['age', 'fare']),..."median" )), ( "scaler" , StandardScaler ())] ) categorical_features...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html
    Mon Sep 22 13:26:33 UTC 2025
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  10. Swiss Roll And Swiss-Hole Reduction scikit-le...

    text2D ( 0.8 , 0.05 , s = "n_samples=1500" , transform = ax . transAxes...text2D ( 0.8 , 0.05 , s = "n_samples=1500" , transform = ax . transAxes...
    scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html
    Mon Sep 22 13:26:33 UTC 2025
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