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  1. mean_tweedie_deviance — scikit-learn 1.8....

    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
    Mon Mar 09 14:07:54 UTC 2026
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  2. dcg_score — scikit-learn 1.8.0 documentation

    asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by...to have a score between 0 and 1. References Wikipedia entry for...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html
    Mon Mar 09 14:07:57 UTC 2026
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  3. Plot the support vectors in LinearSVC — s...

    subplot ( 1 , 2 , i + 1 ) plt . scatter ( X [:, 0 ], X [:, 1 ], c..."k" , levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...
    scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html
    Mon Mar 09 14:07:56 UTC 2026
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  4. Robust linear model estimation using RANSAC &#8...

    n_features = 1 , n_informative = 1 , noise = 10 , coef...normal ( size = ( n_outliers , 1 )) y [: n_outliers ] = - 3 + 10...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html
    Mon Mar 09 14:07:53 UTC 2026
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  5. log_loss — scikit-learn 1.8.0 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
    Mon Mar 09 14:07:57 UTC 2026
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  6. 3.2. Tuning the hyper-parameters of an estimato...

    loguniform(1, 100) can be used instead of [1, 10, 100] . Mirroring...reference to the literature. 3.2.1. Exhaustive Grid Search # The...
    scikit-learn.org/stable/modules/grid_search.html
    Mon Mar 09 14:07:54 UTC 2026
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  7. dict_learning_online — scikit-learn 1.8.0...

    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 Mar 09 14:07:57 UTC 2026
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  8. 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
    Mon Mar 09 14:07:57 UTC 2026
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  9. RobustScaler — scikit-learn 1.8.0 documen...

    [[ 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
    Mon Mar 09 14:07:54 UTC 2026
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  10. Selecting the number of clusters with silhouett...

    from -1, 1 but in this example all # lie within [-0.1, 1] ax1...set_xlim ([ - 0.1 , 1 ]) # The (n_clusters+1)*10 is for inserting...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html
    Mon Mar 09 14:07:53 UTC 2026
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