Rules extraction Examples and Tutorials¶

In this section, you'll find various resources to help you get started with the Rules Extraction library and explore its full potential through practical examples and use cases.

Getting Started¶

To quickly get up and running with the library, check out our Getting Started notebook. This guide will walk you through a simple setup and showcase the basic functionality of the library.

Demo¶

For a more detailed demonstration, you can explore our Demo notebook. This example illustrates how to apply the Rules Extraction method to a sample dataset, explaining the steps involved in extracting and interpreting rules from a CNN.

Full Use Case¶

To see the Rules Extraction library in action, alongside other methods, refer to the Sport Image Classification Use Case notebook or the Aptos 2019 Blindness Detection Use Case. These comprehensive examples show how the library can be integrated into a larger machine learning and explainable AI workflow, providing insights on how to combine it with other techniques for enhanced interpretability.

Feel free to explore these notebooks to deepen your understanding of how to effectively use the Rules Extraction library in your projects.