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  1. Target Encoder’s Internal Cross fitting — sciki...

    reshape ( - 1 , 1 )) # Remove the linear relationship...replace = True ) . reshape ( - 1 , 1 ) Finally, we assemble the dataset...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html
    Mon Apr 21 17:07:39 UTC 2025
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  2. RegressorTags — scikit-learn 1.6.1 documentation

    n_informative=1, bias=5.0, noise=20, random_state=42)...
    scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html
    Mon Apr 21 17:07:39 UTC 2025
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  3. NotFittedError — scikit-learn 1.6.1 documentation

    predict ([[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]])...
    scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html
    Mon Apr 21 17:07:39 UTC 2025
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  4. Multiclass Receiver Operating Characteristic (R...

    1 ], [ 0 , 1 ], "k--" , label = "Chance...xlim = ( - 0.01 , 1.01 ), ylim = ( - 0.01 , 1.01 ), ) We confirm...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
    Mon Apr 21 17:07:39 UTC 2025
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  5. Gradient Boosting Out-of-Bag estimates — scikit...

    subsample < 1.0 ), the estimates are derived...y = random_state . binomial ( 1 , p , size = n_samples ) X = np...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Mon Apr 21 17:07:39 UTC 2025
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  6. Exponentiation — scikit-learn 1.6.1 documentation

    predict ( X [: 1 ,:], return_std = True ) (array([635.5...]),...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Exponentiation.html
    Mon Apr 21 17:07:39 UTC 2025
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  7. User Guide — scikit-learn 1.6.1 documentation

    Guide # 1. Supervised learning 1.1. Linear Models 1.1.1. Ordinary...Lasso 1.1.4. Multi-task Lasso 1.1.5. Elastic-Net 1.1.6. Multi-task...
    scikit-learn.org/stable/user_guide.html
    Mon Apr 21 17:07:39 UTC 2025
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  8. d2_log_loss_score — scikit-learn 1.6.1 document...

    Best possible score is 1.0 and it can be negative (because...User Guide . Added in version 1.5. Parameters : y_true array-like...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html
    Mon Apr 21 17:07:39 UTC 2025
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  9. single_source_shortest_path_length — scikit-lea...

    1), (1, 1), (2, 0), (3, 1), (4, 1), (5, 1)] On this...([[ 0 , 1 , 0 , 0 ], ... [ 1 , 0 , 1 , 0 ], ... [ 0 , 1 , 0 , 0...
    scikit-learn.org/stable/modules/generated/sklearn.utils.graph.single_source_shortest_path_length....
    Mon Apr 21 17:07:39 UTC 2025
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  10. Monotonic Constraints — scikit-learn 1.6.1 docu...

    monotonic_cst = { "f_0" : 1 , "f_1" : - 1 } ) . fit ( X_df , y )...) f_1 = rng . rand ( n_samples ) X = np . c_ [ f_0 , f_1 ] noise...
    scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html
    Mon Apr 21 17:07:39 UTC 2025
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