Python Library for Sparse Relaxed Regularized Regression.
Project description
This package implements classic and novel feature selection algorithms for linear and mixed-effect models. It supports many widely used regularization techniques, like LASSO, A-LASSO, CAD and SCAD. See README.md for details and examples.
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