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  1. 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 Nov 24 12:29:38 GMT 2025
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  2. matthews_corrcoef — scikit-learn 1.7.2 do...

    = [ + 1 , + 1 , + 1 , - 1 ] >>> y_pred = [ + 1 , - 1...value between -1 and +1. A coefficient of +1 represents a perfect...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html
    Mon Nov 24 11:23:20 GMT 2025
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  3. scale — scikit-learn 1.7.2 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
    Fri Nov 21 09:29:39 GMT 2025
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  4. dict_learning_online — scikit-learn 1.7.2...

    1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...heuristics. Added in version 1.1. return_code bool, default=True...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html
    Mon Nov 24 12:29:41 GMT 2025
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  5. Binarizer — scikit-learn 1.7.2 documentation

    ( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html
    Mon Nov 24 11:06:34 GMT 2025
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  6. mean_shift — scikit-learn 1.7.2 documenta...

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...6. ], [1.33, 0.66]]) >>> labels array([1, 1, 1, 0, 0,...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html
    Mon Nov 24 12:29:38 GMT 2025
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  7. set_config — scikit-learn 1.7.2 documenta...

    Added in version 1.1. enable_cython_pairwise_dist...configuration setting. Added in version 1.1. array_api_dispatch bool, default=None...
    scikit-learn.org/stable/modules/generated/sklearn.set_config.html
    Mon Nov 24 12:29:41 GMT 2025
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  8. Lars — scikit-learn 1.7.2 documentation

    [ 1 , 1 ]], [ - 1.1111 , 0 , - 1.1111 ]) Lars(n_nonzero_coefs=1)...n_nonzero_coefs = 1 ) >>> reg . fit ([[ - 1 , 1 ], [ 0 , 0...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html
    Mon Nov 24 10:40:48 GMT 2025
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  9. LassoLars — scikit-learn 1.7.2 documentation

    ([[ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ]], [ - 1 , 0 , - 1 ]) LassoLars(alpha=0.01)...sklearn.linear_model. LassoLars ( alpha = 1.0 , * , fit_intercept = True ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html
    Mon Nov 24 10:40:48 GMT 2025
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  10. randomized_svd — scikit-learn 1.7.2 docum...

    approximation problem described in [1] (problem (1.5), p5). Refer to Wikipedia...n_iter=0 or 1 should even work fine in theory (see [1] page 9)....
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html
    Mon Nov 24 11:23:20 GMT 2025
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