Making Scores with HiScore
Register @ http://bit.ly/1CWG9nn
January 29, 2015
360 9th Street, San Francisco
Speaker: Abe Othman
Abstract:
HiScore is a python library for making scoring functions, which map objects (vectors of numerical attributes) to scores (a single numerical value). Scores are a way for domain experts to communicate the quality of a complex, multi-faceted object to a broader audience. Scores are ubiquitous; everything from NFL Quarterbacks to the walkability of neighborhoods has a score. HiScore provides a new way for domain experts to quickly create and improve intuitive scoring functions: by using reference sets, a set of representative objects that are assigned scores. HiScore is currently used by a major environmental non-profit as well as IES, a startup that assesses the safety and sustainability of fracking wells.
In this talk, we describe the quasi-Kriging algorithmic foundation of HiScore and then discuss applications, including the intuitive creation of complex scores with dozens of attributes.
Joint work with Ken Judd (Stanford).
Code available: https://github.com/aothman/hiscore
Tentative Schedule:
6:30pm-7:00pm - socializing
7:00pm-7:15pm - lightning talk? (TBD)
7:15pm-8:15pm - main presentation (Abe Othman)
8:15pm-9:00pm - socializing