Metadata-Version: 2.4
Name: modelautopsy
Version: 1.0.3
Summary: ModelAutopsy: High-Performance ML Failure Detection
Home-page: https://github.com/YuvrajJha13/MLGuardian
Author: Yuvraj Jha
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: rich
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# ModelAutopsy

ModelAutopsy is a high-performance, hybrid-engine (Rust/C++) Machine Learning debugging library. It utilizes advanced parallelism to perform multi-threaded analysis of gradient tensors, instantly detecting NaN, Infinity, Vanishing, and Exploding values in massive datasets.

## Features

*   **🛡 Hybrid Engine:** Rust (Safety) + C++ (Speed).
*   **🔍 Deep Analysis:** Instantly detects NaN, Inf, Vanishing, and Exploding values.
*   **📊 Advanced Metrics:** Calculates L2 Norm, Variance, Mean, Min/Max for statistical health.
*   **🎨 IDE Integration:** Includes Rich Console UI and Python Decorators for real-time training loops.
*   **🚀 Zero-Copy:** Direct memory access for maximum performance on large tensors.

## Installation

### Pip Install (Recommended)

```bash
pip install modelautopsy
