A good thing to read is https://joss.theoj.org/papers/10.21105/joss.02704 https://joss.theoj.org/papers/10.21105/joss.02704 The focus of this package is on the

A good thing to read is https://joss.theoj.org/papers/10.21105/joss.02704 https://joss.theoj.org/papers/10.21105/joss.02704 The focus of this package is on the "plubming" of auto-ml solutions. The work of designing solutions based on multiple discovered models is rather unsupported in the current state of the art, and this package looks quite supportive of it. A big contribution (if it works in practice) is the idea of a scientific type describing what data is and how it should be mapped to algorithms - a systematic way of doing this is the underpinning of a process for model selection.