Metadata-Version: 1.1
Name: GopPy
Version: 1.0
Summary: GopPy (Gaussian Online Processes for Python) is a pure Python module providing a Gaussian process implementation which allows to efficiently add new data online.
Home-page: http://jgosmann.github.io/goppy/
Author: Jan Gosmann
Author-email: jan@hyper-world.de
License: MIT
Description: .. image:: https://travis-ci.org/jgosmann/goppy.svg?branch=master
          :target: https://travis-ci.org/jgosmann/goppy
        .. image:: https://coveralls.io/repos/jgosmann/goppy/badge.png?branch=master
          :target: https://coveralls.io/r/jgosmann/goppy?branch=master
        
        Overview
        --------
        
        GopPy (Gaussian Online Processes for Python) is a pure Python module providing
        a Gaussian process implementation which allows to add new data efficiently
        online. I wrote this module because all other Python implementations I knew did
        not support efficient online updates.
        
        The feature list:
        
        * `scikit-learn <http://scikit-learn.org>`_ compatible interface.
        * Efficient online updates.
        * Prediction of first order derivatives.
        * Estimation of the log likelihood and its derivative.
        * Well documented.
        * `Good test coverage. <https://coveralls.io/r/jgosmann/goppy>`_
        * Supports Python 2.6, 2.7, 3.2, and 3.3. Later versions are likely to work as
          well.
        * MIT license.
        
        Documentation
        -------------
        
        The documentation can be found at http://goppy.readthedocs.org/en/latest/.
        
        Installation
        ------------
        
        You can install GopPy with pip::
        
            pip install goppy
        
        Or you `download the latest source distribution from PyPI
        <https://pypi.python.org/pypi/GopPy/>`_, extract it and run::
        
            python setup.py install
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Requires: numpy
Provides: goppy
