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
1 maintainer
Release files for pylib-optimize 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pylib_optimize-0.1.0.tar.gz | 2.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pylib_optimize-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 kB
Release files / pylib_optimize-0.1.0.tar.gz
| Download URL | pylib_optimize-0.1.0.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
|
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Release files / pylib_optimize-0.1.0-py3-none-any.whl
| Download URL | pylib_optimize-0.1.0-py3-none-any.whl |
|---|---|
| Size | 1.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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