Skip to navigation
Kumo RelationalUser GuideExamples and Notebooks

Notebooks

View as Markdown

Download this quickstart notebook to learn how Kumo Relational turns connected business tables into predictions without training a task-specific model. The example uses four tables from Microsoft’s AdventureWorks sample database.

In the notebook, you will:

  • Install and configure structured-data-models-client.
  • Connect to a deployed Kumo Relational NVIDIA NIM inference service.
  • Load and prepare the sample data as pandas DataFrames.
  • Build and inspect a schema, which maps the tables and their key-based relationships.
  • Submit prediction requests for several use cases.

Before you begin, you need a deployed Kumo Relational NIM endpoint and the AdventureWorks data files identified in the notebook.

Before running the Snowflake notebook, follow the Kumo Relational NIM Snowflake deployment guide to deploy the inference service in Snowflake.