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glmnetglmnet.stanford.eduglmnet provides extremely efficient algorithms for fitting lasso and elastic net regularization paths across various generalized linear models, including linear, logistic, Poisson, and Cox regression. The software, developed at Stanford, uses cyclical coordinate descent and offers features like relaxed fitting, progress bars, and assessment functions for model evaluation.
Stanford UniversityglmnetParse Score
