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  1. Probability Calibration for 3-class classificat...

    "($\frac {1}{2} $, $0$, $\frac {1}{2} $)" , xy = (..."($0$, $\frac {1}{2} $, $\frac {1}{2} $)" , xy = ( 0.0...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html
    Mon Jan 26 11:09:14 GMT 2026
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  2. additive_chi2_kernel — scikit-learn 1.8.0...

    -2.], [-2., -1.]]) On this page This...given by: k(x, y) = -Sum [(x - y)^2 / (x + y)] It can be interpreted...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.additive_chi2_kernel.html
    Mon Jan 26 14:16:30 GMT 2026
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  3. SpectralClustering — scikit-learn 1.8.0 d...

    ( - 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
    Mon Jan 26 11:09:17 GMT 2026
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  4. HistGradientBoostingRegressor — scikit-le...

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release Highlights...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html
    Mon Jan 26 11:09:17 GMT 2026
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  5. PLSCanonical — scikit-learn 1.8.0 documen...

    [ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>>...y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 ,...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html
    Mon Jan 26 11:09:14 GMT 2026
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  6. inplace_column_scale — scikit-learn 1.8.0...

    2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html
    Mon Dec 29 13:14:49 GMT 2025
      109K bytes
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  7. enet_path — scikit-learn 1.8.0 documentation

    is: ( 1 / ( 2 * n_samples )) * || Y - XW || _Fro ^ 2 + alpha *...mono-output tasks it is: 1 / ( 2 * n_samples ) * || y - Xw ||^...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html
    Mon Jan 26 14:16:33 GMT 2026
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  8. Tweedie regression on insurance claims — ...

    9900 2.015718e+02 2.015412e+02 2.015342e+02 2.015600e+02...abs. error 2.730129e+02 2.722124e+02 2.740176e+02 2.731633e+02...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Mon Jan 26 11:09:12 GMT 2026
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  9. make_biclusters — scikit-learn 1.8.0 docu...

    shape (2, 10) >>> cols . shape (2, 20) Gallery...shape = ( 10 , 20 ), n_clusters = 2 , random_state = 42 ... ) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html
    Mon Jan 26 14:16:29 GMT 2026
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  10. ParameterGrid — scikit-learn 1.8.0 docume...

    'a' : 2 , 'b' : True }, { 'a' : 2 , 'b'...param_grid = { 'a' : [ 1 , 2 ], 'b' : [ True , False...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html
    Mon Jan 26 14:16:33 GMT 2026
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