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  1. WhiteKernel — scikit-learn 1.7.2 documentation

    Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Ability of Gaussian process regress...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.html
    Thu Oct 09 16:57:49 UTC 2025
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  2. KNNImputer — scikit-learn 1.7.2 documentation

    Gallery examples: Imputing missing values before building an estimator Release Highlights for scikit-learn 0.22
    scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html
    Thu Oct 09 16:57:45 UTC 2025
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  3. SpectralEmbedding — scikit-learn 1.7.2 document...

    Gallery examples: Various Agglomerative Clustering on a 2D embedding of digits Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Man...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html
    Thu Oct 09 16:57:48 UTC 2025
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  4. DotProduct — scikit-learn 1.7.2 documentation

    Gallery examples: Iso-probability lines for Gaussian Processes classification (GPC) Illustration of Gaussian process classification (GPC) on the XOR dataset Illustration of prior and posterior Gaus...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html
    Thu Oct 09 16:57:49 UTC 2025
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  5. ExpSineSquared — scikit-learn 1.7.2 documentation

    Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Illustration of prior and posterior...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html
    Thu Oct 09 16:57:48 UTC 2025
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  6. Sum — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version Sum # class sklearn.gaussian_process.kernels. Sum ( k...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html
    Thu Oct 09 16:57:49 UTC 2025
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  7. ShuffleSplit — scikit-learn 1.7.2 documentation

    Gallery examples: Visualizing cross-validation behavior in scikit-learn Balance model complexity and cross-validated score Plotting Learning Curves and Checking Models’ Scalability Scaling the regu...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html
    Thu Oct 09 16:57:48 UTC 2025
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  8. RepeatedStratifiedKFold — scikit-learn 1.7.2 do...

    Gallery examples: Statistical comparison of models using grid search Post-hoc tuning the cut-off point of decision function Overview of multiclass training meta-estimators
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html
    Thu Oct 09 16:57:49 UTC 2025
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  9. OrdinalEncoder — scikit-learn 1.7.2 documentation

    Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Partial Dependence and Individual Conditional Expectation Plots Permutation Importance vs Random...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html
    Thu Oct 09 16:57:45 UTC 2025
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  10. StandardScaler — scikit-learn 1.7.2 documentation

    Gallery examples: Faces recognition example using eigenfaces and SVMs Prediction Latency Classifier comparison Comparing different clustering algorithms on toy datasets Demo of DBSCAN clustering al...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html
    Thu Oct 09 16:57:45 UTC 2025
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