• DOI:10.18637/JSS.V033.I01
Corpus ID: 42639

Regularization Paths for Generalized Linear Models via Coordinate Descent.

@article{Friedman2010RegularizationPF,
  title={Regularization Paths for Generalized Linear Models via Coordinate Descent.},
  author={J. Friedman and T. Hastie and R. Tibshirani},
  journal={Journal of statistical software},
  year={2010},
  volume={33 1},
  pages={
          1-22
        }
}

J. Friedman, T. Hastie, R. Tibshirani

Published 2010

Computer Science, Medicine

Journal of statistical software

We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multinomial regression problems while the penalties include ℓ(1) (the lasso), ℓ(2) (ridge regression) and mixtures of the two (the elastic net). The algorithms use cyclical coordinate descent, computed along a regularization path. The methods can handle large problems and can also deal efficiently with sparse features. In… CONTINUE READING

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