MLflow Models

MLflow Models is a standard packaging format for ML models. It provides a standardized abstraction on top of the ML model created by the data scientists. Each MLflow model is essentially a directory containing an MLmodel file in the directory’s root that can define multiple flavors that the model can be viewed in.

Flavors represent a fundamental concept that empowers MLflow Models by providing a standardized approach for deployment tools to comprehend and interact with ML models. This innovation eliminates the need for each deployment tool to integrate with every ML library individually. MLflow introduces several “standard” flavors, universally supported by its built-in deployment tools. For instance, the “Python function” flavor outlines how to execute the model as a Python function. However, the versatility of flavors extends beyond these standards. Libraries have the flexibility to define and employ their own flavors. As an example...