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BayesianRidge — scikit-learn 1.7.1 documentation
Gallery examples: Feature agglomeration vs. univariate selection Imputing missing values with variants of IterativeImputer Imputing missing values before building an estimator Comparing Linear Baye...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html -
TheilSenRegressor — scikit-learn 1.7.1 document...
Gallery examples: Robust linear estimator fitting Theil-Sen Regressionscikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
ExtraTreesClassifier — scikit-learn 1.7.1 docum...
Gallery examples: Plot the decision surfaces of ensembles of trees on the iris dataset Hashing feature transformation using Totally Random Trees Release Highlights for scikit-learn 1.6scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html -
ARDRegression — scikit-learn 1.7.1 documentation
Gallery examples: Comparing Linear Bayesian Regressors L1-based models for Sparse Signalsscikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
SelectPercentile — scikit-learn 1.7.1 documenta...
Gallery examples: Feature agglomeration vs. univariate selection Column Transformer with Mixed Types Introducing the set_output API SVM-Anova: SVM with univariate feature selectionscikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
PoissonRegressor — scikit-learn 1.7.1 documenta...
Gallery examples: Poisson regression and non-normal loss Tweedie regression on insurance claims Release Highlights for scikit-learn 0.23scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
LinearDiscriminantAnalysis — scikit-learn 1.7.1...
Gallery examples: Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Linear and Quadratic Discriminant Analysis with covariance ellipsoid Comparison of LDA and PCA 2D proje...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
SkewedChi2Sampler — scikit-learn 1.7.1 document...
Skip to main content Back to top Ctrl + K GitHub Choose version SkewedChi2Sampler # class sklearn.kernel_approximatio...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html -
Hyperparameter — scikit-learn 1.7.1 documentation
Gallery examples: Gaussian processes on discrete data structuresscikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
RFECV — scikit-learn 1.7.1 documentation
Gallery examples: Recursive feature elimination with cross-validationscikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html