Metadata-Version: 2.4
Name: cmeuncerpy
Version: 0.1.45
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Rust
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: matplotlib>=3.8.0
Requires-Dist: numpy>=1.20.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: scikit-learn>=1.0.0
Requires-Dist: seaborn>=0.11.0
Requires-Dist: torch>=2.0.0
License-File: LICENSE
Summary: Machine learning models implemented in PyTorch and Rust, including Linear Regression and Neural Networks
Keywords: machine-learning,pytorch,regression,neural-networks
Author-email: SyedRaza20 <alizeejah972@gmail.com>
License: MIT
Requires-Python: >=3.9
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM

# cmeuncerpy

A Python package for machine learning models with PyTorch and Rust backends. Features high-performance implementations of Linear Regression and Neural Network models.

## Installation

```bash
pip install cmeuncerpy
```

## Features

- **Linear Regression**: PyTorch-based implementation with gradient descent optimization
- **Neural Network Regression**: Flexible multi-layer neural network for regression tasks
- **Rust Integration**: Performance-critical components implemented in Rust via PyO3

## Quick Start

```python
from cmeuncerpy.models import LinearRegression
import numpy as np

# Create model
model = LinearRegression(no_features=2, learning_rate=0.01, max_epochs=100)

# Generate sample data
X_train = np.random.randn(100, 2)
y_train = np.random.randn(100)

# Train model
model.fit(X_train, y_train)

# Make predictions
predictions = model.predict(X_train)
```

## Requirements

- Python 3.9 or higher
- PyTorch 2.0.0+
- NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn

## Author

Syed Raza (alizeejah972@gmail.com)

## License

MIT
