merlerm/In-Context-Symbolic-Regression
Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery"
This tool helps researchers and scientists automatically discover mathematical formulas or equations that best describe a given set of numerical data. You input a dataset of numbers, and it iteratively suggests and refines potential mathematical expressions, eventually outputting the most accurate formula. It is ideal for anyone working with experimental data who needs to find underlying mathematical relationships without manually trying countless equations.
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Use this if you have numerical data points and need to automatically identify the underlying mathematical function or formula that accurately models that data.
Not ideal if you need to understand causal relationships between variables or if your data cannot be represented by a mathematical function.
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Language
Python
License
MIT
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Last pushed
Sep 26, 2024
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