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Kumo Relational NIMUser GuideExamples and Notebooks

Notebooks

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This notebook uses four AdventureWorks tables to build a relational graph and submit PQL prediction requests through Kumo Relational Client.

It covers client installation, NIM connection, DataFrame preparation, graph inspection, and prediction requests.

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