Metadata-Version: 1.1
Name: pySOT
Version: 0.2.1
Summary: Surrogate Optimization Toolbox
Home-page: https://github.com/dme65/pySOT
Author: David Eriksson, David Bindel, Christine Shoemaker
Author-email: dme65@cornell.edu, bindel@cornell.edu, shoemaker@nus.edu.sg
License: LICENSE.rst
Description: |Travis| |codecov| |ReadTheDocs| |Downloads| |DOI|
        
        pySOT: Python Surrogate Optimization Toolbox
        --------------------------------------------
        
        The Python Surrogate Optimization Toolbox (pySOT) is an asynchronous parallel
        optimization toolbox for computationally expensive global optimization problems. 
        pySOT is built on top of the Plumbing for Optimization with Asynchronous Parallelism (POAP),
        which is an event-driven framework for building and combining asynchronous optimization
        strategies. POAP has support for both threads and MPI. 
        
        pySOT implements many popular surrogate optimization algorithms such as the
        Stochastic RBF (SRBF) and DYCORS methods by Regis and Shoemaker. We also support
        Expected Improvement (EI) and Lower Confidence Bounds (LCB), which are popular in Bayesian
        optimization. All optimization algorithms can be used in serial, synchronous parallel, and
        asynchronous parallel and we support both continuous and integer variables.
        
        The toolbox is hosted on GitHub: https://github.com/dme65/pySOT
        
        Documentation: http://pysot.readthedocs.io/
        
        Installation
        ------------
        
        Installation instructions are available at: http://pysot.readthedocs.io/en/latest/quickstart.html
        
        Examples
        --------
        
        Several pySOT examples and notebooks can be found at:
        
        https://github.com/dme65/pySOT/tree/master/pySOT/examples
        
        https://github.com/dme65/pySOT/tree/master/pySOT/notebooks
        
        
        News
        ----
        
        pySOT 0.2.0 has finally been released!
        
        FAQ
        ---
        
        | Q: Can I use pySOT with MPI?
        | A: Yes. You need to install mpi4py in order to use the MPIController in POAP.
        |
        | Q: I used pySOT for my research and want to cite it
        | A: There is currently no published paper on pySOT so we recommend
          citing pySOT like this: *D. Eriksson, D. Bindel, and C. Shoemaker.
          Surrogate Optimization Toolbox (pySOT). github.com/dme65/pySOT, 2015*
        |
        | Q: Is there support for Python 2?
        | A: Python 2 support was removed in version 0.2.0
        |
        | Q: I can't find the MARS interpolant
        | A: You need to install py-earth in order to use MARS. More information is
          available here: https://github.com/scikit-learn-contrib/py-earth
        |
        
        .. |Travis| image:: https://travis-ci.org/dme65/pySOT.svg?branch=master
           :target: https://travis-ci.org/dme65/pySOT
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/pysot/badge/?version=latest
            :target: http://pysot.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        .. |DOI| image:: https://zenodo.org/badge/36836292.svg
           :target: https://zenodo.org/badge/latestdoi/36836292
        .. |codecov| image:: https://codecov.io/gh/dme65/pySOT/branch/dme/graph/badge.svg
           :target: https://codecov.io/gh/dme65/pySOT
        .. |Downloads| image:: https://pepy.tech/badge/pysot
           :target: https://pepy.tech/project/pySOT
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
