Welcome to ML Eval Robust’s documentation!

https://github.com/VikhyatChoppa18/ml_robust_eval/blob/main/assets/ML%20Eval.png

ML Eval Robust is a python package, object-oriented library for comprehensive machine learning model evaluation, validation, and robustness testing.

Features:

  • Metrics for classification, regression, NLP, and CV tasks

  • Cross-validation and A/B testing helpers

  • Visualization tools for confusion matrices, ROC curves, etc.

  • Automated edge, adversarial, and boundary test case generation

  • No external dependencies