pylib-optimize 0.1.0

Simple optimization solvers (gradient descent, LP). Machine learning utilities.

pyoptimize

Optimization solvers

Installation

pip install pyoptimize

💡 Usage Examples

Basic Operations

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

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