search-in-a-third 0.1

A Python package for efficient hyperparameter optimization in neural networks, using a greedy algorithm guided by heuristic directions.

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:

pip install search_in_a_third

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

• Diego Larriera

For more information, please contact [e-mail].