Lasso regularization path ($\hat{\beta }(t)$)

The Lasso regularization path follows its coefficients as the penalty or constraint radius changes. Under the usual least-angle construction, the coefficient path is piecewise linear between knots, and variables can enter or leave the active set. Reading support at a selected cross-validation fraction requires checking which coefficients are actually zero at that fraction, rather than retaining only visibly large traces.