MaxHalford/xgp

:crystal_ball: Symbolic regression library

32
/ 100
Emerging

This tool helps you discover underlying mathematical formulas that explain your data, rather than just making predictions. You input raw numerical datasets, and it outputs simple equations that describe the relationships within your data, which you can then interpret. It's designed for data scientists, researchers, or analysts who need to understand the 'why' behind their observations.

No commits in the last 6 months.

Use this if you need to find a clear, human-readable mathematical model that describes the patterns in your numerical data, instead of a complex 'black box' prediction model.

Not ideal if your primary goal is high-accuracy prediction without needing an interpretable formula, or if you're working with non-numerical data like images or text.

data-modeling equation-discovery scientific-analysis predictive-analytics model-interpretation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

62

Forks

4

Language

Go

License

MIT

Last pushed

Sep 11, 2018

Commits (30d)

0

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