DataRobot Autopilot Has Finished. Now What?
This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about DataRobot, AI Cloud, data science, and more.
You’ve run Autopilot and you have a model; how do you deploy? In order to gain value from AI, you must deploy and integrate your models into workflows and systems so action can be taken on model decisions.
This learning session highlights things to consider when deploying a model and how to use DataRobot to investigate:
- Accuracy
- Speed
- False positives and false negatives
- Number of features
- Explainability
What’s Next
After watching the learning session, you should check out more information about how to evaluate and select DataRobot models to deploy.
- Ebook – How to Understand a DataRobot Model
- DataRobot.com blog series for understanding and comparing the accuracy of your DataRobot models.
Learn More
Find out more about the process of deploying a model by visiting our public documentation portal and navigating to the Deployment section.
Community Manager
-
Automating Model Risk Compliance: Model Validation
May 26, 2022· 9 min read -
AI for Climate Change and Weather Risk
May 25, 2022· 3 min read -
AI Applications for Border Transportation
May 23, 2022· 3 min read
Latest posts