lpspline.penalties.smooth.Lasso# class lpspline.penalties.smooth.Lasso(alpha: float = 1.0)[source]# Bases: Penalty L1 Lasso Regularization targeting coefficient sparsity. property alpha: float# Returns the scaling severity. Returns: Penalty tuning constant. Return type: float build_penalty(s: Spline) → list[source]# Creates a Lasso penalty sum sequence evaluating $alpha * sum |v|$. Parameters: s (Spline) – The targeted function modeling bounds. Returns: A list of CVXPY absolute weighting expressions applied to the core equation metric. Return type: list
