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  1. scale — scikit-learn 1.8.0 documentation

    independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>>...>>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Mon Feb 02 09:23:44 GMT 2026
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  2. Visualizations with Display Objects — sci...

    deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html
    Mon Feb 09 10:22:28 GMT 2026
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  3. Decision Tree Regression — scikit-learn 1...

    RandomState ( 1 ) X = np . sort ( 5 * rng . rand ( 80 , 1 ), axis =...feature. - 1: monotonic increase - 0: no constraint - -1: monotonic...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Mon Feb 09 10:22:29 GMT 2026
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  4. KNeighborsTransformer — scikit-learn 1.8....

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) set_output...rs=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1....
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html
    Mon Feb 09 10:22:30 GMT 2026
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  5. fast_logdet — scikit-learn 1.8.0 document...

    1 ], [ 2 , 8 ]]) >>> fast_logdet...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html
    Mon Feb 02 09:23:44 GMT 2026
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  6. Introducing the set_output API — scikit-l...

    798301 -1.271411 -1.327605 12 -1.244466 -0.086944 -1.327407 -1.459074...60 5.0 2.0 3.5 1.0 1 4.9 3.0 1.4 0.2 8 4.4 2.9 1.4 0.2 93 5.0 2.3...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html
    Mon Feb 09 10:22:28 GMT 2026
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  7. SVC — scikit-learn 1.8.0 documentation

    array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
    Mon Feb 09 10:22:28 GMT 2026
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  8. RadiusNeighborsRegressor — scikit-learn 1...

    () array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html
    Mon Feb 09 10:22:28 GMT 2026
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  9. det_curve — scikit-learn 1.8.0 documentation

    y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html
    Mon Feb 09 10:22:30 GMT 2026
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  10. RBF — scikit-learn 1.8.0 documentation

    ) >>> kernel = 1.0 * RBF ( 1.0 ) >>> gpc = ...ernels. RBF ( length_scale = 1.0 , length_scale_bounds = (1e-05,...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html
    Mon Feb 09 10:22:28 GMT 2026
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