Managing Snowpark model data

In the previous section, we covered the deployment of ML models using the model registry. This section will look at managing Snowpark Models using feature stores. Snowpark ML Feature Store simplifies the feature engineering process and is integral to ML, significantly influencing model performance based on the quality of features employed. This chapter will help us learn about using feature stores and managing Snowpark models.

Snowpark Feature Store

The Snowpark Feature Store is an integrated solution for data scientists and ML engineers. It facilitates the creation, storage, management, and serving of ML features for model training and inference and is accessible through the Snowpark ML library. The feature store defines, manages, and retrieves features, supported by a managed infrastructure for feature metadata management and continuous feature processing. Its primary function is to make these features readily available for reuse in the ongoing...