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ElasticNetCV — scikit-learn 1.6.1 documentation
Gallery examples: L1-based models for Sparse Signalsscikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
Gallery examples: Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Comparing Nearest Neighbors with and without Neighborhood Components Analysis Dimensionality Reduction w...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
OrdinalEncoder — scikit-learn 1.6.1 documentation
Gallery examples: Release Highlights for scikit-learn 1.3 Release Highlights for scikit-learn 1.2 Categorical Feature Support in Gradient Boosting Combine predictors using stacking Poisson regressi...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
FunctionTransformer — scikit-learn 1.6.1 docume...
Gallery examples: Feature transformations with ensembles of trees Time-related feature engineering Poisson regression and non-normal loss Tweedie regression on insurance claims Column Transformer w...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
TimeSeriesSplit — scikit-learn 1.6.1 documentation
Gallery examples: Features in Histogram Gradient Boosting Trees Lagged features for time series forecasting Time-related feature engineering L1-based models for Sparse Signals Visualizing cross-val...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
LabelEncoder — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version LabelEncoder # class sklearn.preprocessing. LabelEnco...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
DotProduct — scikit-learn 1.6.1 documentation
Gallery examples: Illustration of Gaussian process classification (GPC) on the XOR dataset Illustration of prior and posterior Gaussian process for different kernels Iso-probability lines for Gauss...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
SparseCoder — scikit-learn 1.6.1 documentation
Gallery examples: Sparse coding with a precomputed dictionaryscikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
GroupShuffleSplit — scikit-learn 1.6.1 document...
Gallery examples: Visualizing cross-validation behavior in scikit-learnscikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
ExpSineSquared — scikit-learn 1.6.1 documentation
Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Illustration of prior and posterior...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html