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  1. QuadraticDiscriminantAnalysis — scikit-le...

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal...
    Sun Nov 23 04:34:54 GMT 2025
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  2. MeanShift — scikit-learn 1.7.2 documentation

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html
    Sun Nov 23 04:34:54 GMT 2025
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  3. 1.3. Kernel ridge regression — scikit-lea...

    Ctrl + K GitHub Choose version 1.3. Kernel ridge regression # Kernel...model using only approximately 1/3 of the 100 training datapoints...
    scikit-learn.org/stable/modules/kernel_ridge.html
    Sun Nov 23 04:34:55 GMT 2025
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  4. KFold — scikit-learn 1.7.2 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
    Sun Nov 23 04:34:54 GMT 2025
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  5. mean_tweedie_deviance — scikit-learn 1.7....

    power = 1 ) 1.4260... Gallery examples # Tweedie...power <= 0 or power >= 1. The higher p the less weight...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html
    Sun Nov 23 04:34:54 GMT 2025
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  6. RFE — scikit-learn 1.7.2 documentation

    ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) decision_function...float, default=1 If greater than or equal to 1, then step corresponds...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html
    Sun Nov 23 04:34:54 GMT 2025
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  7. EllipticEnvelope — scikit-learn 1.7.2 doc...

    n_features + 1) / 2 * n_samples . Range is (0, 1). contamination...>>> # predict returns 1 for an inlier and -1 for an outlier >>>...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html
    Sun Nov 23 04:34:55 GMT 2025
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  8. log_loss — scikit-learn 1.7.2 documentation

    p) = -(y \log (p) + (1 - y) \log (1 - p))\] Read more in the..."spam" ], ... [[ .1 , .9 ], [ .9 , .1 ], [ .8 , .2 ], [ .35...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html
    Sun Nov 23 04:34:56 GMT 2025
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  9. make_circles — scikit-learn 1.7.2 documen...

    int64(1), np.int64(1), np.int64(1), np.int64(0), np.int64(0)]...outer circle in the range [0, 1) . Returns : X ndarray of shape...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html
    Sun Nov 23 04:34:54 GMT 2025
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  10. BayesianGaussianMixture — scikit-learn 1....

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [...mixtures”. Bayesian analysis 1.1 Examples >>> import...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html
    Sun Nov 23 04:34:54 GMT 2025
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