{ "info": { "author": "-Aki Vehtari\n-Alan Saul\n-Andreas Damianou\n-Andrei Paleyes\n-Fela Winkelmolen\n-Huibin Shen\n-James Hensman\n-Javier Gonzalez\n-Jordan Massiah\n-Josh Fass\n-Neil Lawrence\n-Rasmus Berg Palm\n-Rodolphe Jenatton\n-Simon Kamronn\n-Zhenwen Dai\n-see also GPy and GPyOpt contributors in GitHub", "author_email": "j.h.gonzalez@sheffield.ac.uk", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: BSD License", "Natural Language :: English", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 2.7", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "GPyOpt\n======\n\nGaussian process optimization using [GPy](http://sheffieldml.github.io/GPy/). Performs global optimization with different acquisition functions. Among other functionalities, it is possible to use GPyOpt to optimize physical experiments (sequentially or in batches) and tune the parameters of Machine Learning algorithms. It is able to handle large data sets via sparse Gaussian process models.\n\n* [GPyOpt homepage](http://sheffieldml.github.io/GPyOpt/)\n* [Tutorial Notebooks](http://nbviewer.ipython.org/github/SheffieldML/GPyOpt/blob/master/manual/index.ipynb)\n* [Online documentation](http://gpyopt.readthedocs.io/)\n\n[![licence](https://img.shields.io/badge/licence-BSD-blue.svg)](http://opensource.org/licenses/BSD-3-Clause) [![develstat](https://travis-ci.org/SheffieldML/GPyOpt.svg?branch=master)](https://travis-ci.org/SheffieldML/GPyOpt) [![covdevel](http://codecov.io/github/SheffieldML/GPyOpt/coverage.svg?branch=master)](http://codecov.io/github/SheffieldML/GPyOpt?branch=master) [![Research software impact](http://depsy.org/api/package/pypi/GPyOpt/badge.svg)](http://depsy.org/package/python/GPyOpt)\n\n\n### Citation\n\n @Misc{gpyopt2016,\n author = {The GPyOpt authors},\n title = {{GPyOpt}: A Bayesian Optimization framework in python},\n howpublished = {\\url{http://github.com/SheffieldML/GPyOpt}},\n year = {2016}\n }\n\nGetting started\n===============\n\nInstalling with pip\n-------------------\nThe simplest way to install GPyOpt is using pip. ubuntu users can do:\n\n```bash\n sudo apt-get install python-pip\n pip install gpyopt\n```\n\nIf you'd like to install from source, or want to contribute to the project (e.g. by sending pull requests via github), read on. 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