GSoC 2022 Interfaces for Consistent API Design

[tdhoffman]

For GSoC 2022, I'm working on designing more consistent interfaces to PySAL's exploratory and inferential statistics classes. My mentors and I are exploring what might need to be done to

1. render confederated packages compatible with the scikit-learn paradigm, and
2. develop R-style Wilkinson formulas for modeling classes.

To these ends, we're interested in getting feedback on the desirability and feasibility of these changes from package leads and devs.

• Do you think the scikit-learn model would work well for this package? Why or why not?
• Do you see any sources of potential friction between the existing codebase and the scikit-learn model?
• Would Wilkinson formulas be a useful addition to this package's functionality, and are there any design constraints that we need to be cognizant of while creating them?

Excited to hear your input!