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TheilSenRegressor — scikit-learn 1.7.0 document...
scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
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 -
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 -
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 -
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 -
PLSRegression — scikit-learn 1.7.0 documentation
Gallery examples: Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regressionscikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
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 -
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 -
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.... -
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