Metadata-Version: 2.1
Name: hypermapper
Version: 2.2.3
Summary: HyperMapper is a multi-objective black-box optimization tool based on Bayesian Optimization.
Home-page: https://github.com/luinardi/hypermapper
Author: Luigi Nardi
Author-email: luigi.nardi@cs.lth.se
License: UNKNOWN
Description: # HyperMapper
        
        [![Build Status](https://travis-ci.com/luinardi/hypermapper.svg?branch=master)](https://travis-ci.com/luinardi/hypermapper)
        
        ## Software and Installation
        We recommend installing HyperMapper with `pip`:
        ```
        pip install hypermapper
        ```
        
        We recommend using pip version 18 or higher. Please see the wiki for the [quick start guide](https://github.com/luinardi/hypermapper/wiki) and [alternative installation](https://github.com/luinardi/hypermapper/wiki/Install-HyperMapper).
        
        ## Abstract
        HyperMapper is a multi-objective black-box optimization tool based on Bayesian Optimization. 
        
        HyperMapper was succesfully applied to real-world problems involving design search spaces with trillions of possible design choices. In particular it was applied to: 
        1) Computer vision and robotics,
        2) Programming language compilers and hardware design, 
        3) Database management systems (DBMS) parameters configuration.
        
        To learn about the core principles of HyperMapper refer to the papers section at the bottom. 
        
        ## Contact and Info
        For any questions please contact Luigi Nardi: luigi.nardi at cs.lth.se.
        
        ## HyperMapper Slack Channel
        Join the channel for a quicker communication with the dev team: 
        ```latex
        hypermapper.slack.com
        ```
        
        ## License
        HyperMapper is distributed under the MIT license. More information on the license can be found [here](https://github.com/luinardi/hypermapper/blob/master/LICENSE).
        
        ## People
        ### Main Contributors
            Artur Souza, Ph.D. student, Federal University of Minas Gerais
            Leonard Papenmeier, Ph.D. student, Lund University 
            Carl Hvarfner, Ph.D. student, Lund University
            Luigi Nardi, Assistant Professor, Lund University, and Researcher, Stanford University
        ### Other Contributors    
            Bruno Bodin, Assistant Professor (National University of Singapore) 
            Samuel Lundberg (Lund University)
            Alfonso White (Imperial College London)
            Adel Ejjeh, Ph.D. Student (University of Illinois at Urbana-Champaign)
            Matthias Mayr, Ph.D. Student (Lund University) 
        
        ## Papers
        If you use HyperMapper in scientific publications, we would appreciate citations to the following paper: 
        
        ```
        Nardi, Luigi, David Koeplinger, and Kunle Olukotun. "Practical Design Space Exploration", IEEE MASCOTS, 2019.
        ```
        
        For the list of all publications (including bibtex) related to HyperMapper and its applications, see our [Publications](https://github.com/luinardi/hypermapper/wiki/Publications) page.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: plot_hvi
