Lab-4

Lab-4: Watson OpenScale Lab

Introduction

IBM Watson OpenScale is an open platform that helps remove barriers to enterprise-scale AI. Watson OpenScale enables the enterprise to:

1. Measure performance of production AI and its impact on business goals
   
2. Track actionable metrics in a single console
   
3. Explain AI outcomes
   
4. Detect and mitigate harmful bias to improve outcomes
   
5. Accept feedback to compute accuracy measures
   
6. Accelerate the integration of AI into existing business applications.
   

Objectives

Upon completing the lab, you will know how to:

1. Import a machine learning model
2. Deploy the model
3. Provision Watson OpenScale
4. Configure the payload logging database and Machine Learning provider
5. Score Data
6. Prepare Deployed Model for Monitoring
7. Configure Payload Logging
8. Configure Quality 1 Configure Fairness
9. Configure Drift
10. Submit Feedback and View Quality Metrics
11. Score Data and View Fairness Metrics
12. Explain a Transaction.

Step 1. Please click on the link to download the instructions to your machine

Instructions