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SpectralEmbedding — scikit-learn 1.7.1 document...
Gallery examples: Various Agglomerative Clustering on a 2D embedding of digits Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Man...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html -
HistGradientBoostingClassifier — scikit-learn 1...
Gallery examples: Plot classification probability Feature transformations with ensembles of trees Comparing Random Forests and Histogram Gradient Boosting models Post-tuning the decision threshold ...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
MiniBatchSparsePCA — scikit-learn 1.7.1 documen...
Gallery examples: Faces dataset decompositionsscikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html -
SparseCoder — scikit-learn 1.7.1 documentation
Gallery examples: Sparse coding with a precomputed dictionaryscikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
PowerTransformer — scikit-learn 1.7.1 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 -
GroupShuffleSplit — scikit-learn 1.7.1 document...
Gallery examples: Visualizing cross-validation behavior in scikit-learnscikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
OrdinalEncoder — scikit-learn 1.7.1 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 -
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 -
SplineTransformer — scikit-learn 1.7.1 document...
Gallery examples: Time-related feature engineering Plot classification probability Visualizing the probabilistic predictions of a VotingClassifier Polynomial and Spline interpolation Evaluation of ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html -
FunctionTransformer — scikit-learn 1.7.1 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