Closed fgregg closed 9 years ago
The predictions are attached to the data in the 30 script. https://github.com/Chicago/food-inspections-evaluation/blob/master/CODE/30_glmnet_model.R#L123
The results are delivered as a list of food establishments with their corresponding score, just as it is shown in this evaluation period. However, this work represents a snapshot in time that was used to evaluate the efficacy of the model, and it is not intended to be an ongoing real time list.
This repo does not represent an ongoing effort?
So, this: https://twitter.com/ChicagoCDO/status/598951252307922944
is not happening?
Now i understand that this repo contains the current model and is aimed at improving that model. Noted that in the README that's in my PR.
It seems like the final operational product should be some sort of prioritized list, but I don't see any code to generate anything like that. How does the model get turned into that product?