dswah/pyGAM
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
This tool helps you build predictive models that can identify complex, non-linear patterns in your data while still being easy to understand. You input your dataset with independent and dependent variables, and it provides an interpretable model that shows how each input variable influences the outcome. This is ideal for data analysts, researchers, or anyone needing to explain why their model makes certain predictions.
979 stars.
Use this if you need to build flexible, accurate predictive models and clearly understand the individual impact of each feature on your predictions.
Not ideal if your primary goal is maximum predictive accuracy without any need for model interpretability or understanding individual feature effects.
Stars
979
Forks
262
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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