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  1. BernoulliNB — scikit-learn 1.8.0 documentation

    Added in version 1.2. Changed in version 1.4: The default value...sklearn.naive_bayes. BernoulliNB ( * , alpha = 1.0 , force_alpha = True , binarize...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
    Mon Mar 23 20:39:23 UTC 2026
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  2. PLSSVD — scikit-learn 1.8.0 documentation

    1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...np . array ([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. ,...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. Custom refit strategy of a grid search with cro...

    precision: 1.000 (±0.000), recall: 0.854 (±0.063), for {'C': 1, 'gamma':...precision: 1.000 (±0.000), recall: 0.257 (±0.061), for {'C': 1, 'gamma':...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html
    Mon Mar 23 20:39:22 UTC 2026
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  4. StackingRegressor — scikit-learn 1.8.0 document...

    in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. KernelRidge — scikit-learn 1.8.0 documentation

    alpha = 1.0 ) >>> krr . fit ( X , y ) KernelRidge(alpha=1.0) fit...sklearn.kernel_ridge. KernelRidge ( alpha = 1 , * , kernel = 'linear' , gamma...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. IterativeImputer — scikit-learn 1.8.0 documenta...

    is met once max(abs(X_t - X_{t-1}))/max(abs(X[known_vals])) < tol...data types. Added in version 1.3. imputation_order {‘ascending’,...
    scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html
    Mon Mar 23 20:39:23 UTC 2026
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  7. GridSearchCV — scikit-learn 1.8.0 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...0.70 … 4 ‘rbf’ 0.1 – 0.80 … 3 ‘rbf’ 0.2 – 0.93 … 1 will be represented...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. TunedThresholdClassifierCV — scikit-learn 1.8.0...

    means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 On this...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html
    Mon Mar 23 20:39:23 UTC 2026
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  9. Non-negative least squares — scikit-learn 1.8.0...

    In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...
    scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html
    Mon Mar 23 20:39:22 UTC 2026
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  10. Gaussian Process for Machine Learning — scikit-...

    Examples concerning the sklearn.gaussian_process module. Ability of Gaussian process regression (GPR) to estimate data noise-level Comparison of kernel ridge and Gaussian process regression Forecas...
    scikit-learn.org/stable/auto_examples/gaussian_process/index.html
    Mon Mar 23 20:39:20 UTC 2026
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