Overview

CBR-Fox is an advanced Case-Based Reasoning (CBR) library that enables users to analyze and compare cases using various similarity metrics. It is designed to work efficiently with structured data, time-series cases, and customizable distance functions.

What is Case-Based Reasoning (CBR)?

CBR is an AI approach where past experiences (cases) are used to solve new problems. It is widely applied in recommendation systems, decision support, predictive analytics, and anomaly detection.

Why Use CBR-Fox?

• Efficient Case Retrieval: Uses multiple similarity metrics to find the most relevant cases.

• Customizable Distance Functions: Define your own case similarity measures.

• Integration with sktime: Supports time-series similarity analysis.

• Easy Visualization: Includes tools for plotting similarity results.

• Flexible & Extensible: Designed for scalability and integration with existing ML pipelines.

Continue to Features for a detailed breakdown.