Metadata-Version: 2.1
Name: PARyOpt
Version: 1.0.2.1
Summary: A flexible Bayesian optimization framework.
Home-page: https://bitbucket.org/baskargroup/paryopt
Author: Balaji Pokuri
Author-email: balajip@iastate.edu
Maintainer: Balaji Pokuri
Maintainer-email: balajip@iastate.edu
License: LICENSE.txt
Project-URL: Documentation, https://paryopt.rtfd.io
Project-URL: Source, https://bitbucket.org/baskargroup/paryopt
Project-URL: Tracker, https://bitbucket.org/baskargroup/paryopt/issues
Description: Parallel Asynchronous Remote Optimization
        ==========================================
        
        .. image:: https://readthedocs.org/projects/paryopt/badge/?version=latest
           :target: https://paryopt.readthedocs.io/en/latest/?badge=latest
           :alt: Documentation Status
        
        .. image:: https://baskar-group.me.iastate.edu/jenkins/buildStatus/icon?job=PARyOpt
           :target: https://baskar-group.me.iastate.edu/jenkins/job/PARyOpt
           :alt: Build Status
        
        .. image:: https://img.shields.io/badge/License-MIT-yellow.svg
           :target: https://opensource.org/licenses/MIT
           :alt: License
        
        This framework performs Asynchronous Bayesian Optimization with support for remote evaluations, resilient to hardware/software failures
        
        Documentation for the software is available on ReadTheDocs_.
        
        .. image:: bo_animation.gif
           :width: 20
           :alt: Sample Bayesian optimization
        
        How do I get set up?
        --------------------
        
        This code is compatible with Python3.5, and requires several modules. The requirements are available in `requirements.txt`. If you are doing a tar ball installation, do
        
        .. code-block:: bash
        
           python3.5 -m pip install -r requirements.txt
           python3.5 -m pip install setup.py
        
        
        If you are using a pip installation, simply do
        
        .. code-block:: bash
        
           python3.5 -m pip install paryopt
        
        Citing:
        -------
        
        The publication related to the implementation can be found on arxiv_. If you use PARyOpt, please cite as:
        
           Pokuri, B. S. S., Lofquist, A., Risko, C. M., & Ganapathysubramanian, B. (2018). 
           PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization. 
           arXiv preprint arXiv:1809.04668.
        
        Bibtex entry ::
        
           @article{pokuri2018paryopt,   
           title={PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization},
           author={Pokuri, Balaji Sesha Sarath and Lofquist, Alec and Risko, Chad M and Ganapathysubramanian, Baskar},
           journal={arXiv preprint arXiv:1809.04668},
           year={2018}
           }
        
        
        
        
        Who do I talk to?
        -----------------
        
        `Balaji Pokuri`_
        
        `Alec Lofquist`_
        
        `Baskar Ganapathysubramanian`_
        
        .. _`Balaji Pokuri`: mailto:balajip@iastate.edu
        .. _`Alec Lofquist`: mailto:lofquist@iastate.edu
        .. _`Baskar Ganapathysubramanian`: mailto:baskarg@iastate.edu
        .. _arxiv: https://arxiv.org/pdf/1809.04668
        .. _ReadTheDocs: http://paryopt.readthedocs.io
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.5
Provides-Extra: for visualization
Provides-Extra: allow executing parse_result functions directly on remote hosts
