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  1. TheilSenRegressor — scikit-learn 1.7.0 document...

    Gallery examples: Robust linear estimator fitting Theil-Sen Regression
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. OneVsRestClassifier — scikit-learn 1.7.0 docume...

    Gallery examples: Decision Boundaries of Multinomial and One-vs-Rest Logistic Regression Multiclass sparse logistic regression on 20newgroups Multilabel classification Precision-Recall Multiclass R...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. PLSSVD — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version PLSSVD # class sklearn.cross_decomposition. PLSSVD ( ...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. Product — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version Product # class sklearn.gaussian_process.kernels. Pro...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. TargetTags — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version TargetTags # class sklearn.utils. TargetTags ( requir...
    scikit-learn.org/stable/modules/generated/sklearn.utils.TargetTags.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. PLSRegression — scikit-learn 1.7.0 documentation

    Gallery examples: Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regression
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html
    Thu Jul 03 11:42:06 UTC 2025
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  7. ClassNamePrefixFeaturesOutMixin — scikit-learn ...

    Skip to main content Back to top Ctrl + K GitHub Choose version ClassNamePrefixFeaturesOutMixin # class sklearn.base....
    scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html
    Thu Jul 03 11:42:06 UTC 2025
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  8. Regularization path of L1- Logistic Regression ...

    Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html
    Thu Jul 03 11:42:06 UTC 2025
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  9. Feature agglomeration vs. univariate selection ...

    This example compares 2 dimensionality reduction strategies: univariate feature selection with Anova, feature agglomeration with Ward hierarchical clustering. Both methods are compared in a regress...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Thu Jul 03 11:42:05 UTC 2025
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  10. Comparison of kernel ridge and Gaussian process...

    This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression and Gaussian process regression are using a so-called “kernel ...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html
    Thu Jul 03 11:42:05 UTC 2025
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