hpsklearn-compneurobilbao 1.0.3

Hyperparameter Optimization for sklearn, compneurobilbaolab unofficial version.

# 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