v1.3.1: bugfixes and code style improvements
v1.3: Created LCEN, a variable selection algorithm used with the expanded feature set of (D)ALVEN to create nonlinear, interpretable ML models. This new algorithm is much better at selecting the correct variables, ignoring irrelevant variables, and producing models with lower errors and greater stability.
Also added new examples that better highlight how to use SPA.
v1.3.1: Primarily bugfixes and code style changes. Made ace-cream an optional dependency. Fixed some (D)ALVEN variable unscaling issues.