Step 1. Call the prediction workflow and predict credit scoring values

1. Call the prediction workflow with the Call Workflow (Table Based) node*:

   • Use a workflow relative path

   • Explore the output: new columns that contain predictions are returned

* Why Call Workflow node over Workflow Executor node here? Now we want to use the prediction workflow for its initial purpose: predict credit scoring values for new data. So we can execute the workflow directly in its location. For now it's located on your LOCAL space. In the next session, we will learn how to deploy the workflow to KNIME Hub.
** Why Call Workflow (Table Based) node over Call Workflow Service here? Because the prediction workflow is created with the Container nodes. Why with Container nodes? Because we want this workflow to be exposed not only to other workflows but also to external clients.

Part 1 - Deployment fundamentals

Exercise workflow 03.1 Call the prediction workflow from another workflow

Learning objective: In this exercise you'll see how to execute the prediction workflow on the new data.

Workflow description: Applying the prediction workflow on the new data. This workflow calls the prediction workflow to predict the credit scoring for the new applicants.

You'll find the instructions to the exercises in the yellow annotations.