How do you validate that the right information is being processed into your model?
Ensuring that all model information is accurate and robust is key to getting the output you want, but how do you make sure that the model and data (input / output streams) are passing through validation checks?
By using schemas, you can ensure that the right data is flowing in and out of your model in production and plan for model change and maturity, by separating data locations and data transport methods. Give your deployment the complete accurate flexibility of a modular set-up, and pinpoint issues and make sure your model works and allows for changes quickly in FastScore. In this video, you will learn how to.
Delete, upload and create new schemas through the dashboard and CLI
Format new and update schemas
Utilize schema features in Model Manage
Enter Schema information into models with smart comments
Write input and output schemas directly into FastScore using AVRO format, or upload a file
Reference the schemas in the model and streams for specific runs
These best practices will ensure that your new and mature models are being run correctly every time.