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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 -
StratifiedGroupKFold — scikit-learn 1.7.0 docum...
Gallery examples: Visualizing cross-validation behavior in scikit-learnscikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.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 -
BisectingKMeans — scikit-learn 1.7.0 documentation
Gallery examples: Bisecting K-Means and Regular K-Means Performance Comparison Release Highlights for scikit-learn 1.1scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.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 -
SpectralClustering — scikit-learn 1.7.0 documen...
Gallery examples: Comparing different clustering algorithms on toy datasetsscikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html -
DummyClassifier — scikit-learn 1.7.0 documentation
Gallery examples: Multi-class AdaBoosted Decision Trees Post-tuning the decision threshold for cost-sensitive learning Detection error tradeoff (DET) curve Class Likelihood Ratios to measure classi...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
auc — scikit-learn 1.7.0 documentation
Gallery examples: Species distribution modeling Poisson regression and non-normal loss Tweedie regression on insurance claims Precision-Recall Multiclass Receiver Operating Characteristic (ROC) Rec...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
GraphicalLasso — scikit-learn 1.7.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version GraphicalLasso # class sklearn.covariance. GraphicalL...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html