Pysr3: A Python Package for Sparse Relaxed Regularized Regression

Datasets increasingly contain more and more potential covariates that may be related to different research questions.The presence of irrelevant or weakly relevant features can be counterproductive to modeling, as over-parametrized models may lead to unstable estimates, invalid inference, and low prediction accuracy.Reliable feature selection is a requirement for a wide range of regression settings.