Deploying and Managing ML Models with Snowpark
The seamless deployment and effective management of models have become pivotal components of developing data science with Snowpark. The previous chapter covered how to prepare the data and train the model. This chapter delves into the intricacies of leveraging Snowpark to deploy and manage machine learning (ML) models efficiently, from deployment to integration with feature stores and model registries, exploring the essentials of streamlining ML models in Snowpark.
In this chapter, we’re going to cover the following main topics:
- Deploying ML models in Snowpark
- Managing Snowpark model data
