deep-symbolic-mathematics/TPSR
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
This project helps scientists and researchers automatically discover the underlying mathematical equations that govern their observed data. You input a dataset with numerical measurements, and it outputs potential symbolic formulas that best describe the relationships within that data. This is ideal for quantitative researchers, physicists, chemists, or anyone needing to distill complex data into an interpretable mathematical model.
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Use this if you have experimental or observational data and need to find a concise, symbolic mathematical equation that explains the relationships between your variables, especially for understanding and extrapolation.
Not ideal if you primarily need to predict outcomes without needing an interpretable formula, or if your data relationships are highly non-linear and not expected to conform to simple symbolic expressions.
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Python
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MIT
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Last pushed
Nov 04, 2024
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