Metadata-Version: 2.1
Name: search_in_a_third
Version: 0.1
Summary: A Python package for efficient hyperparameter optimization in neural networks, using a greedy algorithm guided by heuristic directions.
Home-page: https://github.com/proflarriera/searchinathird
Author: Diego Larriera
Author-email: proflarriera@gmail.com
License: MIT
Keywords: hyperparameter optimization,neural networks,machine learning,greedy algorithm,heuristic
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Requires-Dist: tensorflow
Requires-Dist: scikit-learn
Requires-Dist: pandas

# Search in a Third

Search in a Third is a Python package designed for optimization of hyperparameters in neural networks with an emphasis on moderate computational usage. It utilizes a greedy algorithm guided by heuristic directions that avoid traversing the entire multidimensional space of hyperparameters to achieve an optimal configuration of models efficiently.

## Features

- **Efficient Hyperparameter Optimization**: Focuses on reducing the number of models trained while still achieving optimal results.
- **Greedy Algorithm with Heuristic Guidance**: Narrows down the search space intelligently to find the best model configurations without exhaustive search.
- **Optimized Computational Use**: Designed to make the most out of available computational resources, avoiding unnecessary model training.

## Installation

You can install the package using pip:

```bash
pip install search_in_a_third
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Author

- Diego Larriera

For more information, please contact proflarriera@gmail.com.
