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@@ -9,7 +9,7 @@ Fast algorithm to solve Lasso-like problems with dual extrapolation. Currently,
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- weighted Lasso
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- Sparse Logistic regression
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- Group Lasso
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- Multitask Lasso.
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- Multitask Lasso
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The estimators follow the scikit-learn API, come with automated parallel cross-validation, and support both sparse and dense data, with optionally feature centering, normalization, and unpenalized intercept fitting.
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The solvers used allow for solving large scale problems with millions of features, up to 100 times faster than scikit-learn.
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