As the organization adopts FastScore as the standard way to deploy machine learning models in production, data science teams need easy access to test and iterate their work in Engine. Deploy allows users to interact with Engine natively using the FastScore SDK through their lab environment, like Jupyter Notebooks, to test the execution of machine learning models in a production like environment.
FastScore SDK allows users to interact with Manage and Engine through their creation environment (like Jupyter notebooks)
Store model code directly through Manage, allowing desired downstream teams access outside of the model lab environment
Quickly test and update code to ensure the model executes within Engine