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PoissonRegressor — scikit-learn 1.7.0 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 -
TheilSenRegressor — scikit-learn 1.7.0 document...
Gallery examples: Robust linear estimator fitting Theil-Sen Regressionscikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
OneHotEncoder — scikit-learn 1.7.0 documentation
Gallery examples: Time-related feature engineering Column Transformer with Mixed Types Feature transformations with ensembles of trees Categorical Feature Support in Gradient Boosting Combine predi...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
MiniBatchNMF — scikit-learn 1.7.0 documentation
Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Release Highlights for scikit-learn 1.1scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html -
ExtraTreesClassifier — scikit-learn 1.7.0 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 -
RandomTreesEmbedding — scikit-learn 1.7.0 docum...
Gallery examples: Feature transformations with ensembles of trees Hashing feature transformation using Totally Random Trees Manifold learning on handwritten digits: Locally Linear Embedding, Isomap…scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
BaggingRegressor — scikit-learn 1.7.0 documenta...
Gallery examples: Single estimator versus bagging: bias-variance decompositionscikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
Inspection — scikit-learn 1.7.0 documentation
Examples related to the sklearn.inspection module. Common pitfalls in the interpretation of coefficients of linear models Failure of Machine Learning to infer causal effects Partial Dependence and ...scikit-learn.org/stable/auto_examples/inspection/index.html -
TSNE — scikit-learn 1.7.0 documentation
Gallery examples: Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Manifold Learning methods on a severed sphere Swiss Roll And Swi...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
clone — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version clone # sklearn.base. clone ( estimator , * , safe = ...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html