Metadata-Version: 1.1
Name: GPyOpt
Version: 0.1.1
Summary: The Bayesian Optimization Toolbox
Home-page: http://sheffieldml.github.com/GPyOpt/
Author: Javier Gonzalez, Zhenwen Dai
-see also GPy authors

Author-email: j.h.gonzalez@sheffield.ac.uk
License: BSD 3-clause
Description: GPyOpt
        ======
        
        Gaussian 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 to handle large data sets via sparse Gaussian process models. 
        
        * [GPyOpt homepage](http://sheffieldml.github.io/GPyOpt/)
        * [Online documentation](http://gpyopt.readthedocs.org/en/latest/GPyOpt.html)
        
        
        Getting started
        ===============
        Clone the repository in GitHub and add it to your PYTHONPATH.
        
        
        Dependencies:
        ------------------------
          - GPy
          - numpy
          - scipy
          - DIRECT (optional)
          - cma (optional)
          - pyDOE (optional)
        
        Funding Acknowledgements
        ========================
        * See GPy funding Acknowledgements
        
        
        
        
        
        
        
Keywords: machine-learning gaussian-processes kernels optimization
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
