overview
This solution architecture shows how to build an end to end machine learning pipeline using Snowpark ML
- Clean and ingest the diamonds dataset into a Snowflake table from an external stage.
- Use Snowpark dataframes to run pre-process the data.
- Build a feature engineering and ML training pipeline using Snowpark ML APIs
- Deploy the model and execute batch inference using Snowpark Model registry