Good documentation helps us make sense of software, know when and how to use it, and understand its purpose. The same can be true of documentation or reporting for a deployed model, but it can be hard to know where to start.
The paper “Model Cards for Model Reporting” (Mitchell et al. 2019) provides a suggested framework for organizing and presenting the essential facts about a deployed machine learning model, and the vetiver packages for both R and Python provide templates for getting started with your own model card.
Julia Silge joined us on Jan 29th to share:
1️⃣ How to get started with your first model card
2️⃣ How a model card fits in with model monitoring
3️⃣ How to use Posit Team to author and publish your model card
Link to paper: https://lnkd.in/eRbYpfEW
GitHub Repo: https://github.com/juliasilge/model-card-workflow-demo
Q&A Recording: https://youtube.com/live/tQsyImn18q4?feature=share
Want to add future workflow demos to your calendar? We host them the last Wednesday of every month.
🗓️ https://evt.to/aoimiohuw