PDPbox
A Python toolbox for visualizing feature influence on model predictions using partial dependence plots.
What is PDPbox?
PDPbox is a Python toolbox for generating partial dependence plots (PDPs) to interpret supervised machine learning models. It visualizes how individual or pairs of features influence model predictions, helping users understand complex model behavior. The library provides an intuitive way to make black-box models more transparent and explainable.
Data scientists, machine learning engineers, and researchers who need to interpret and explain supervised learning models, particularly those working on regression or classification tasks.
PDPbox offers a simple, focused implementation of partial dependence plots with multi-class support and interaction visualizations, making it an accessible entry point for model interpretability compared to more complex alternatives like SHAP or LIME.
Overview
python partial dependence plot toolbox
Use Cases
Best For
- Visualizing feature effects on regression model predictions
- Interpreting classification models with multiple classes
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