Automating and Simplifying ML Workflows at Scale with {targets}

Do you ever wish you could automate the process of determining which parts of your analysis need to be rerun when you update a piece of code or data? Have you ever had to rerun large scripts because there was a bug in the middle somewhere, throwing an error? Would you like to include some parallelism in your workflow overall without a lot of coding overhead? Do you get existential agony when opening and running an R project (that you made) that uses about 10,000 lines of code across 20 files, some of which use a regrettable, and uninformative, naming scheme? The {targets} package may be able to help by providing an approach to create analytic pipelines and automatically managing pipeline execution (optionally in parallel).

In this talk, we will first go over the basic concepts of {targets} to create and run a basic pipeline. Then we will cover more advanced topics of dynamic branching and distributed computing using {tarchetypes} and {crew}.

Meeting Location:
We'll be meeting at the Keck Center @ Chapman University room N107/N109. The space has a 40-person limit - If you RSVP but are unable to attend, please update your RSVP promptly to accommodate others interested in attending.

Food:
Food and beverages will be catered by SoCal RUG for this event.

Parking:
The best parking option will be the Anderson Parking Structure conveniently next to the Chapman's Keck Center. From the entrance of the Anderson Parking Structure, navigate to the elevator on the far side of the parking structure. Take the elevator to the 1st floor, and you'll find yourself in an outdoor atrium. As you’re exiting the elevator, turn left through the glass doors into Swenson Hall. Continue down the hallway past the MakerSpace and the Ideation Zone (rooms N107/109) will be on your left.

While street parking is an option, it may require a valid Chapman parking pass depending on the street you're on - Please pay attention to street signage and see everyone tonight!

Legal Disclaimer:
The advice and/or information provided at this event is not endorsed by nor should it be construed as educational/legal advice from Chapman University.