Understanding the Explainable Monitoring Framework
In this section, we will explore the Explainable Monitoring Framework (as shown in the following diagram) in detail to understand and learn how Explainable Monitoring enhances the MLOps workflow and the ML system itself:
Figure 11.6 – Explainable Monitoring Framework
The Explainable Monitoring Framework is a modular framework that's used to monitor, analyze, and govern a ML system while enabling continual learning. All the modules work in sync to enable transparent and Explainable Monitoring. Let's look at how each module works to understand how they contribute and function in the framework. First, let's look at the monitor module (the first panel in the preceding diagram).
Monitor
The monitor module is dedicated to monitoring the application in production (serving the ML model). Several factors are at play in an ML system, such as application performance (telemetry data, throughput...
