This is documentation for an old release of Scikit-learn (version 1.2). Try the latest stable release (version 1.6) or development (unstable) versions.
Generalized Linear Models¶
Examples concerning the sklearn.linear_model
module.
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Fitting an Elastic Net with a precomputed Gram Matrix and Weighted Samples
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HuberRegressor vs Ridge on dataset with strong outliers
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MNIST classification using multinomial logistic + L1
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Multiclass sparse logistic regression on 20newgroups
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One-Class SVM versus One-Class SVM using Stochastic Gradient Descent
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Ordinary Least Squares and Ridge Regression Variance
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Plot Ridge coefficients as a function of the L2 regularization
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Plot Ridge coefficients as a function of the regularization
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Plot multinomial and One-vs-Rest Logistic Regression