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LogisticRegressionCV — scikit-learn 1.7.1 docum...
Gallery examples: Comparison of Calibration of Classifiers Importance of Feature Scalingscikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
ExtraTreesRegressor — scikit-learn 1.7.1 docume...
Gallery examples: Face completion with a multi-output estimatorsscikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
OAS — scikit-learn 1.7.1 documentation
Gallery examples: Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood Ledoit-Wolf vs OAS estimationscikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
FactorAnalysis — scikit-learn 1.7.1 documentation
Gallery examples: Faces dataset decompositions Model selection with Probabilistic PCA and Factor Analysis (FA) Factor Analysis (with rotation) to visualize patternsscikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html -
fastica — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version fastica # sklearn.decomposition. fastica ( X , n_comp...scikit-learn.org/stable/modules/generated/fastica-function.html -
ElasticNet — scikit-learn 1.7.1 documentation
Gallery examples: Fitting an Elastic Net with a precomputed Gram Matrix and Weighted Samples L1-based models for Sparse Signals Effect of model regularization on training and test error Release Hig...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
KBinsDiscretizer — scikit-learn 1.7.1 documenta...
Gallery examples: Time-related feature engineering Plot classification probability Vector Quantization Example Poisson regression and non-normal loss Tweedie regression on insurance claims Using KB...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
CalibratedClassifierCV — scikit-learn 1.7.1 doc...
Gallery examples: Probability calibration of classifiers Probability Calibration curves Probability Calibration for 3-class classification Examples of Using FrozenEstimatorscikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
AffinityPropagation — scikit-learn 1.7.1 docume...
Gallery examples: Demo of affinity propagation clustering algorithm Comparing different clustering algorithms on toy datasetsscikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
Birch — scikit-learn 1.7.1 documentation
Gallery examples: Compare BIRCH and MiniBatchKMeans Comparing different clustering algorithms on toy datasetsscikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html