# 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](https://github.com/compneurobilbao/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](https://github.com/hyperopt/hyperopt-sklearn) is [Hyperopt](https://github.com/hyperopt/hyperopt)-based model selection among machine learning algorithms in [scikit-learn](http://scikit-learn.org/).
See how to use hyperopt-sklearn through [examples](https://hyperopt.github.io/hyperopt-sklearn/#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. http://conference.scipy.org/proceedings/scipy2014/pdfs/komer.pdf
## 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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Release files for hpsklearn-compneurobilbao 1.0.3
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Source distribution (sdist)
| File | Size | Uploaded | |
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| hpsklearn_compneurobilbao-1.0.3.tar.gz | 68.8 kB | Details |
Built distribution (wheel)
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| hpsklearn_compneurobilbao-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 202.1 kB
Release files / hpsklearn_compneurobilbao-1.0.3.tar.gz
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Release files / hpsklearn_compneurobilbao-1.0.3-py3-none-any.whl
| Download URL | hpsklearn_compneurobilbao-1.0.3-py3-none-any.whl |
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| Size | 133.3 kB |
| Tags | Python 3 |
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