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  1. BayesianGaussianMixture — scikit-learn 1.7.2 do...

    2 ], [ 1 , 4 ], [ 1 , 0 ], [ 4 , 2 ], [ 12 , 4 ],...) >>> bgm . means_ array([[2.49 , 2.29], [8.45, 4.52 ]]) >>> bgm...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html
    Wed Sep 24 16:15:25 UTC 2025
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  2. SpectralClustering — scikit-learn 1.7.2 documen...

    ( - dist_matrix ** 2 / ( 2. * delta ** 2 )) where delta is a...normalized graph cuts [1] , [2] . When calling fit , an affinity...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html
    Wed Sep 24 16:15:26 UTC 2025
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  3. MinMaxScaler — scikit-learn 1.7.2 documentation

    transform ([[ 2 , 2 ]])) [[1.5 0. ]] fit ( X , y...MinMaxScaler >>> data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ],...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html
    Wed Sep 24 16:15:25 UTC 2025
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  4. ARDRegression — scikit-learn 1.7.2 documentation

    [ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression() >>>...1e-06 , alpha_2 = 1e-06 , lambda_1 = 1e-06 , lambda_2 = 1e-06 , compute_score...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html
    Wed Sep 24 16:15:25 UTC 2025
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  5. BaggingRegressor — scikit-learn 1.7.2 documenta...

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...the method is known as Bagging [2] . When random subsets of the...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html
    Wed Sep 24 16:15:25 UTC 2025
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  6. GradientBoostingClassifier — scikit-learn 1.7.2...

    min_samples_split = 2 , min_samples_leaf = 1 , min_...min_samples_split int or float, default=2 The minimum number of samples...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
    Wed Sep 24 16:15:25 UTC 2025
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  7. LocallyLinearEmbedding — scikit-learn 1.7.2 doc...

    (n_components + 1) / 2 . see reference [2] modified : use the...n_neighbors = 5 , n_components = 2 , reg = 0.001 , eigen_solver =...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html
    Wed Sep 24 16:15:25 UTC 2025
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  8. classification_report — scikit-learn 1.7.2 docu...

    2 , 2 , 2 ] >>> y_pred = [ 0 , 0 , 2 , 2 , 1 ] >>>...sample_weight = None , digits = 2 , output_dict = False , zero_division...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html
    Wed Sep 24 16:15:26 UTC 2025
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  9. MiniBatchNMF — scikit-learn 1.7.2 documentation

    ||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html
    Wed Sep 24 16:15:24 UTC 2025
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  10. BayesianRidge — scikit-learn 1.7.2 documentation

    [ 2 , 2 ]], [ 0 , 1 , 2 ]) BayesianRidge() >>>...1e-06 , alpha_2 = 1e-06 , lambda_1 = 1e-06 , lambda_2 = 1e-06 , alpha_init...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html
    Wed Sep 24 16:15:26 UTC 2025
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