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LeavePOut — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version LeavePOut # class sklearn.model_selection. LeavePOut ...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html -
PCA — scikit-learn 1.7.2 documentation
Gallery examples: Image denoising using kernel PCA Faces recognition example using eigenfaces and SVMs A demo of K-Means clustering on the handwritten digits data Column Transformer with Heterogene...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
GradientBoostingRegressor — scikit-learn 1.7.2 ...
Gallery examples: Model Complexity Influence Early stopping in Gradient Boosting Prediction Intervals for Gradient Boosting Regression Gradient Boosting regression Plot individual and voting regres...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
HuberRegressor — scikit-learn 1.7.2 documentation
Gallery examples: HuberRegressor vs Ridge on dataset with strong outliers Ridge coefficients as a function of the L2 Regularization Robust linear estimator fittingscikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
RANSACRegressor — scikit-learn 1.7.2 documentation
Gallery examples: Robust linear model estimation using RANSAC Robust linear estimator fitting Theil-Sen Regressionscikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
PolynomialFeatures — scikit-learn 1.7.2 documen...
Gallery examples: Time-related feature engineering Plot classification probability Visualizing the probabilistic predictions of a VotingClassifier Comparing Linear Bayesian Regressors Poisson regre...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
SelectFromModel — scikit-learn 1.7.2 documentation
Gallery examples: Model-based and sequential feature selectionscikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
StackingRegressor — scikit-learn 1.7.2 document...
Gallery examples: Combine predictors using stackingscikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
StackingClassifier — scikit-learn 1.7.2 documen...
Gallery examples: Release Highlights for scikit-learn 0.22scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
DummyRegressor — scikit-learn 1.7.2 documentation
Gallery examples: Poisson regression and non-normal loss Tweedie regression on insurance claimsscikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html