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Hyper-parameter optimization for sklearn, forked to make an unofficial release to PyPI to enable publishing ageml to PyPI.

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hyperopt-sklearn (CompNeuroBilbao Fork)

DISCLAIMER

THIS IS A FORK MADE BY CompNeuroLabBilbao TO PUBLISH THIS PACKAGE TO PyPI IN ORDER TO USE IT IN OTHER PROJECTS, SPECIFICALLY TO ADD IT TO ageml.

The functional code in this fork has NOT been altered in any way, publishing-related files and this README.md file have been modified.


Hyperopt-sklearn is Hyperopt-based model selection among machine learning algorithms in scikit-learn.

See how to use hyperopt-sklearn through examples. More examples can be found in the Example Usage section of the SciPy paper: Komer B., Bergstra J., and Eliasmith C. "Hyperopt-Sklearn: automatic hyperparameter configuration for Scikit-learn" Proc. SciPy 2014. https://proceedings.scipy.org/articles/Majora-14bd3278-006

Installation

Installation from the GitHub repository is supported using pip:

pip install git+https://github.com/hyperopt/hyperopt-sklearn

Optionally you can install a specific tag, branch or commit:

pip install git+https://github.com/hyperopt/hyperopt-sklearn@1.0.3
pip install git+https://github.com/hyperopt/hyperopt-sklearn@master
pip install git+https://github.com/hyperopt/hyperopt-sklearn@fd718c44fc440bd6e2718ec1442b1af58cafcb18

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