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  1. KFold — scikit-learn 1.7.0 documentation

    3] Test: index=[0 1] Fold 1: Train: index=[0 1] Test: index=[2...X = np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
    Thu Jun 05 22:21:57 UTC 2025
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  2. TunedThresholdClassifierCV — scikit-learn 1.7.0...

    means 1 unless in a joblib.parallel_backend context. -1 means...... n_samples = 1_000 , weights = [ 0.9 , 0.1 ], class_sep = 0.8...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html
    Thu Jun 05 22:21:58 UTC 2025
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  3. RobustScaler — scikit-learn 1.7.0 documentation

    [[ 1. , - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. ,..., -2. , 0. ], [-1. , 0. , 0.4], [ 1. , 0. , -1.6]]) fit ( X ,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html
    Thu Jun 05 22:21:58 UTC 2025
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  4. LassoLarsIC — scikit-learn 1.7.0 documentation

    [ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]] >>>...fit_intercept . Added in version 1.1. Attributes : coef_ array-like...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html
    Thu Jun 05 22:21:57 UTC 2025
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  5. LassoLarsCV — scikit-learn 1.7.0 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...optimization objective for Lasso is: ( 1 / ( 2 * n_samples )) * || y -...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html
    Thu Jun 05 22:21:58 UTC 2025
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  6. OutputCodeClassifier — scikit-learn 1.7.0 docum...

    means 1 unless in a joblib.parallel_backend context. -1 means...( estimator , * , code_size = 1.5 , random_state = None , n_jobs...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html
    Thu Jun 05 22:21:58 UTC 2025
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  7. HistGradientBoostingRegressor — scikit-learn 1....

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...version 1.1: Added option ‘quantile’. Changed in version 1.3: Added...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html
    Thu Jun 05 22:21:58 UTC 2025
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  8. GradientBoostingClassifier — scikit-learn 1.7.0...

    1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
    Thu Jun 05 22:21:58 UTC 2025
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  9. CalibrationDisplay — scikit-learn 1.7.0 documen...

    pos_label is set to 1. Added in version 1.1. name str, default=None...estimators.classes_[1] when using from_estimator and set to 1 when using...
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html
    Thu Jun 05 22:21:58 UTC 2025
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  10. MLPRegressor — scikit-learn 1.7.0 documentation

    1 , beta_1 = 0.9 , beta_2 = 0.999 ,...sigmoid function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’, the hyperbolic...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html
    Thu Jun 05 22:21:57 UTC 2025
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