CBR-FoX Documentation

Welcome to the CBR-FoX documentation.

CBR-FoX is a Python library designed for Case-Based Reasoning (CBR) with advanced correlation methods, integration with time-series analysis, and visualization utilities.

Use this documentation to learn about installation, features, and available modules.

Contents:

• Overview
  • What is Case-Based Reasoning (CBR)?
  • Why Use CBR-Fox?
• Features
  • Core Features
  • Custom Distance Functions
• Installation Guide
  • Installing CBR-FoX
  • Dependencies
  • Optional Dependencies
  • Verifying the Installation
  • Troubleshooting Installation Issues
• CBR FoX API Documentation
  • cbr_fox package
• Examples
  • Bitcoin Prediction
  • Walmart Sales Prediction
  • Romania Power Usage Prediction
  • Rainfall Prediction
  • Weather Forecasting
  • Power consumption Forecasting
  • Fraud Detection
• Performance Analysis
  • Overview
  • Prerequisites
  • 1. Import Libraries
  • 2. Define Constants and Variables
  • 3. Single Execution Example
  • 4. Comprehensive Performance Analysis
  • 5. Visualization Setup
  • 6. Generate Performance Plots
  • Results Visualization by Dataset
  • 7. Analyze Results
  • Performance Insights
  • Optimization Tips
  • Next Steps
• Troubleshooting
  • Installation Issues
  • Runtime Errors
  • Metric-Specific Issues
  • Visualization Problems
  • Performance Issues
  • Docker Issues
  • Platform-Specific Issues
  • Getting Help
  • Common Error Messages