Enable automated CI/CD for your ML models by testing that your model meets your production KPIs regarding performance, train-test drift, and data integrity.
Deepchecks CI/CD puts a quality stamp on your models before you deploy them to production.
Why Test ML & Data in Your CI/CD?
Test Each New Version, Not Just the First One
Before deploying your machine learning model to production for the first time, you probably explored it inside and out. What about the next model versions, with only minor differences from the original model?
Set Up Processes That Enable You to Scale
Will your top team members spend their precious time thoroughly validating each new version? Will that continue to happen as you have more models and variants for each model?
Adopt Best Practices from Software Engineering
Here’s an alternative: build well-defined tests that run on your model and data each time there is a new version — just like CI/CD does in “classic software”!