Model Diagnostics Python Packages

piml

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

polyhedron-opt

Polyhedron is a domain-driven Python optimization modeling framework that turns business entities into transparent MILP/MIQP models, with built-in diagnostics, scenario analysis, and robust solver interoperability.

sklearn-diagnose

🔍 AI-powered diagnosis for Scikit-learn models: Detect overfitting, data leakage, class imbalance & more with LLM-generated insights

sk-autod

Auto-diagnosis for training curves

npm-weibull-py

A two-parameter Weibull lens on transformer weights — diagnose weight-magnitude distributions (shape k, scale λ) across 7 model families, and explain how λ evolves under AdamW training. Library (npm-weibull-py) + benchmark database + companion code for arXiv:2605.18898 and 2606.19367.