What is a BaseTen Scaffold?

Containers for serving Machine Learning Models
A BaseTen scaffold is a context for building a container for serving predictions from a model. The scaffolds are designed to work seamlessly with in-memory models from supported model frameworks while maintaining the ability to serve predictions for more complex scenarios. The scaffolds can be created local to the environment of the client for introspection and any required debugging and then when ready, uploaded in our serving environment or onto another container serving platform
​