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LinearRegression — scikit-learn 1.7.2 documenta...
Gallery examples: Principal Component Regression vs Partial Least Squares Regression Plot individual and voting regression predictions Failure of Machine Learning to infer causal effects Comparing ...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
Ridge — scikit-learn 1.7.2 documentation
Gallery examples: Prediction Latency Compressive sensing: tomography reconstruction with L1 prior (Lasso) Comparison of kernel ridge and Gaussian process regression Imputing missing values with var...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
ElasticNetCV — scikit-learn 1.7.2 documentation
Gallery examples: L1-based models for Sparse Signalsscikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
PassiveAggressiveRegressor — scikit-learn 1.7.2...
Skip to main content Back to top Ctrl + K GitHub Choose version PassiveAggressiveRegressor # class sklearn.linear_mod...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
TargetEncoder — scikit-learn 1.7.2 documentation
Gallery examples: Comparing Target Encoder with Other Encoders Target Encoder’s Internal Cross fitting Release Highlights for scikit-learn 1.3scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html -
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 -
PowerTransformer — scikit-learn 1.7.2 documenta...
Gallery examples: Compare the effect of different scalers on data with outliers Map data to a normal distributionscikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
KernelPCA — scikit-learn 1.7.2 documentation
Gallery examples: Image denoising using kernel PCA Kernel PCAscikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
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 -
FunctionTransformer — scikit-learn 1.7.2 docume...
Gallery examples: Time-related feature engineering Column Transformer with Heterogeneous Data Sources Feature transformations with ensembles of trees Poisson regression and non-normal loss Tweedie ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html