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TuringBot
Automatically discover mathematical equations with AI-powered symbolic regression

What is TuringBot?

TuringBot is an AI-powered software that automatically discovers mathematical equations in data using symbolic regression. Unlike black-box machine learning models, it generates interpretable formulas that describe relationships between variables, making predictions transparent and explainable. The tool supports various base functions including arithmetic, trigonometric, exponential, logical, and other operations, optimizing both the formula structure and numerical constants.

The software accepts TXT or CSV files with multiple columns and can be used interactively through a graphical interface or via command-line automation. It includes a Python library for integration into workflows and offers multiple search metrics for different modeling goals, from regression to classification tasks. TuringBot is designed for high performance with optimized C++ code and requires minimal setup, making it accessible for researchers, engineers, and data scientists.

Features

  • Symbolic Regression: Discovers mathematical formulas from data using AI
  • Interpretable Models: Generates clear equations instead of black-box predictions
  • Multiple Base Functions: Supports arithmetic, trigonometric, exponential, logical, and other operations
  • Flexible Input: Works with TXT or CSV files containing multiple columns
  • Dual Interface: Offers both graphical interface and command-line automation
  • Python Integration: Includes library for seamless workflow integration
  • Multiple Search Metrics: Supports RMS error, classification accuracy, F-score, and other metrics
  • High Performance: Built with optimized C++ for faster processing

Use Cases

  • Predicting house prices based on characteristics like area and bedrooms
  • Detecting fraudulent credit card transactions using anonymized features
  • Modeling physical phenomena in physics and engineering research
  • Analyzing financial data for market predictions
  • Developing biological models for crop yield prediction
  • Creating interpretable models for academic publications
  • Automating formula discovery in data analysis workflows
  • Solving classification problems with mathematical formulas

FAQs

  • How does TuringBot compare to Eureqa?
    Both implement symbolic regression but use different algorithms: Eureqa uses genetic programming while TuringBot uses simulated annealing. TuringBot has shown better performance on various physics-inspired problems and remains commercially available.

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