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  1. Tags — scikit-learn 1.8.0 documentation

    scikit-learn 1.6 Release Highlights for scikit-learn 1.6 On this...
    scikit-learn.org/stable/modules/generated/sklearn.utils.Tags.html
    Mon Feb 23 17:51:56 UTC 2026
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  2. 2.2. Manifold learning — scikit-learn 1.8...

    as \(L = D^{-\frac{1}{2}} (D - A) D^{-\frac{1}{2}}\) . Partial...is only artificially high. 2.2.1. Introduction # High-dimensional...
    scikit-learn.org/stable/modules/manifold.html
    Mon Mar 02 11:09:51 UTC 2026
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  3. Post pruning decision trees with cost complexit...

    plot ( ccp_alphas [: - 1 ], impurities [: - 1 ], marker = "o"...clfs [ - 1 ] . tree_ . node_count , ccp_alphas [ - 1 ] ) ) Number...
    scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html
    Mon Mar 02 11:09:51 UTC 2026
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  4. Poisson regression and non-normal loss — ...

    Region 0 1.0 1 0.10000 D 5 0 55 50 B12 'Regular' 1217 R82 1 3.0 1...1 0.77000 D 5 0 55 50 B12 'Regular' 1217 R82 2 5.0 1 0.75000...
    scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html
    Mon Mar 02 11:09:52 UTC 2026
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  5. PairwiseKernel — scikit-learn 1.8.0 docum...

    PairwiseKernel ( gamma = 1.0 , gamma_bounds = (1e-05, 100000.0)...Parameters : gamma float, default=1.0 Parameter gamma of the pairwise...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.PairwiseKernel.html
    Mon Mar 02 11:09:53 UTC 2026
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  6. Effect of transforming the targets in regressio...

    subplots ( 1 , 2 ) ax0 . hist ( y , bins =..."Synthetic data" , y = 1.05 ) plt . tight_layout () X_train...
    scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html
    Mon Mar 02 11:09:51 UTC 2026
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  7. 10. Model persistence — scikit-learn 1.8....

    1.1. Train and Persist the Model...serialized by pickle or joblib . 10.1. Workflow Overview # In a typical...
    scikit-learn.org/stable/model_persistence.html
    Mon Mar 02 11:09:52 UTC 2026
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  8. Plot the decision surfaces of ensembles of tree...

    () - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...min () - 1 , X [:, 1 ] . max () + 1 xx , yy = np . meshgrid (...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html
    Mon Mar 02 11:09:52 UTC 2026
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  9. Compare the effect of different scalers on data...

    cutoffs_X1 [ 1 ]], axis = 1 ) plot_distribution ( axarr [ 1 ], X [...left , width = 0.1 , 0.22 bottom , height = 0.1 , 0.7 bottom_h...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html
    Mon Mar 02 11:09:51 UTC 2026
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  10. Features in Histogram Gradient Boosting Trees &...

    Normalized between 0 and 1; day: day of week (1-7); period: half hour...predictions [ 1 ][ first_week ], color = colors [ 0 ], alpha = 0.1 , )...
    scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html
    Mon Mar 02 11:09:51 UTC 2026
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