Metadata-Version: 2.4
Name: pylib-optimize
Version: 0.1.0
Summary: Simple optimization solvers (gradient descent, LP). Machine learning utilities.
Author: pylib-optimize
License: MIT
Project-URL: Homepage, https://github.com/upendra-manike/PyLib
Project-URL: Repository, https://github.com/upendra-manike/PyLib
Project-URL: Documentation, https://github.com/upendra-manike/PyLib
Project-URL: Issues, https://github.com/upendra-manike/PyLib/issues
Keywords: ai,data-processing,data-science,machine-learning,ml,nlp,optimization,utilities
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# pyoptimize

Optimization solvers

## Installation

```bash
pip install pyoptimize
```

## 💡 Usage Examples

### Basic Operations

```python
from pylib_optimize import optimize

# Optimize function
def objective(x):
    return x**2 + 2*x + 1

result = optimize(objective, bounds=[-10, 10])
# Optimal value and parameters
```

### AI/ML Use Cases

```python
from pylib_optimize import optimize

# Optimize hyperparameters
def model_score(params):
    model = create_model(params)
    return model.evaluate()

optimal_params = optimize(model_score, bounds=param_bounds)
```

## 📚 API Reference

See package documentation for complete API reference.


## 🤖 AI Agent Friendly

This package is optimized for AI agents and code generation tools:
- **Clear function names** and signatures
- **Comprehensive docstrings** with examples
- **Type hints** for better IDE support
- **Common use cases** documented
- **Zero dependencies** for reliability

## License

MIT
