aclai-lab/Sole.jl
Sole.jl – Long live transparent modeling!
This project helps data scientists, researchers, or anyone building predictive models to understand why their models make certain decisions. It takes existing machine learning models, particularly decision trees, and converts them into transparent, human-readable logical rules. The output allows you to inspect, verify, and even manually refine the model's 'thought process'.
Use this if you need to explain the reasoning behind your machine learning model's predictions, ensure ethical compliance, or gain new insights from the model's learned knowledge.
Not ideal if your primary goal is simply to achieve high prediction accuracy without needing to understand or interpret the model's internal logic.
Stars
48
Forks
1
Language
Julia
License
MIT
Category
Last pushed
Jan 07, 2026
Commits (30d)
0
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