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Watson open scale tutorial
This document provides a tutorial for configuring trust, transparency, and explainability for machine learning models using IBM Watson OpenScale. The tutorial instructs the user to create an OpenScale service instance, connect it to an existing machine learning model, and explore the 19 descriptions for setting up sample models to analyze.
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Watson open scale tutorial
- 1. Watson OpenScale Lab LastUpdate: Jun 10, 2019 Original Lab Created by Jane Fung (jcyfung@ca.ibm.com)
- 2. In this tutorial Inthis tutorial, you will: • Configure and explore trust, transparency and explainability for your model in OpenScale
- 3. Task: Create andConfigure OpenScale • Go back to the IBM Cloud web browser • Click on Catalog -> AI -> Watson OpenScale to create a new service for OpenScale
- 4.
- 5. • Enter pot-openscale-labas the Tag • Click Create.
- 6. Task: Connect OpenScalewith the Machine Learning Model • Select the Manage tab of your Watson OpenScale instance • Click the Launch application button.
- 7. • Click onAuto setup will setup a sample model for you to see.
- 10. • Read andgo through the 19 descriptions.