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check_X_y — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version check_X_y # sklearn.utils. check_X_y ( X , y , accept...scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html -
ExtraTreeClassifier — scikit-learn 1.7.2 ...
Skip to main content Back to top Ctrl + K GitHub Choose version ExtraTreeClassifier # class sklearn.tree. ExtraTreeCl...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html -
Classification — scikit-learn 1.7.2 docum...
General examples about classification algorithms. Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis...scikit-learn.org/stable/auto_examples/classification/index.html -
MultiTaskElasticNet — scikit-learn 1.7.2 ...
Skip to main content Back to top Ctrl + K GitHub Choose version MultiTaskElasticNet # class sklearn.linear_model. Mul...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
MultiTaskElasticNetCV — scikit-learn 1.7....
Skip to main content Back to top Ctrl + K GitHub Choose version MultiTaskElasticNetCV # class sklearn.linear_model. M...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
MultiTaskLasso — scikit-learn 1.7.2 docum...
Gallery examples: Joint feature selection with multi-task Lassoscikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
RidgeClassifierCV — scikit-learn 1.7.2 do...
Skip to main content Back to top Ctrl + K GitHub Choose version RidgeClassifierCV # class sklearn.linear_model. Ridge...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifierCV.html -
HuberRegressor — scikit-learn 1.7.2 docum...
Gallery examples: HuberRegressor vs Ridge on dataset with strong outliers Ridge coefficients as a function of the L2 Regularization Robust linear estimator fittingscikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
PolynomialFeatures — scikit-learn 1.7.2 d...
Gallery examples: Time-related feature engineering Plot classification probability Visualizing the probabilistic predictions of a VotingClassifier Comparing Linear Bayesian Regressors Poisson regre...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
l1_min_c — scikit-learn 1.7.2 documentation
Gallery examples: Regularization path of L1- Logistic Regressionscikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html