Metadata-Version: 1.1
Name: paramz
Version: 0.4.1
Summary: The Parameterization Framework
Home-page: https://github.com/mzwiessele/paramz
Author: Max Zwiessele
Author-email: ibinbei@gmail.com
License: BSD 3-clause
Description: paramz
        ======
        
        `|pypi| <https://pypi.python.org/pypi/paramz>`_
        `|build| <https://travis-ci.org/sods/paramz>`_
        `|codecov| <https://codecov.io/github/sods/paramz?branch=master>`_
        `|docStat| <http://paramz.readthedocs.org/en/latest/>`_
        
        Coverage
        ^^^^^^^^
        
        .. figure:: https://codecov.io/github/sods/paramz/branch.svg?branch=master
           :align: center
           :alt: codecov.io
        
           codecov.io
        Parameterization Framework for parameterized model creation and
        handling. This is a lightweight framework for using parameterized
        models.
        
        See examples model in ``paramz.examples.<tab>``
        
        Features:
        ~~~~~~~~~
        
        -  Easy model creation with parameters
        -  Fast optimized access of parameters for optimization routines
        -  Memory efficient storage of parameters (only one copy in memory)
        -  Renaming of parameters
        -  Intuitive printing of models and parameters
        -  Gradient saving directly inside parameters
        -  Gradient checking of parameters
        -  Optimization of parameters
        -  Jupyter notebook integration
        -  Efficient storage of models, for reloading
        -  Efficient caching included
        
        Installation
        ------------
        
        You can install this package via pip
        
        pip install paramz
        
        There is regular update for this package, so make sure to keep up to
        date (Rerunning the install above will update the package and
        dependencies).
        
        Supported Platforms:
        --------------------
        
        ` <https://www.python.org/>`_
        ` <http://www.microsoft.com/en-gb/windows>`_
        ` <http://www.apple.com/osx/>`_
        ` <https://en.wikipedia.org/wiki/List_of_Linux_distributions>`_
        
        Python 2.7, 3.3 and higher
        
        Running unit tests:
        -------------------
        
        Ensure nose is installed via pip:
        
        ::
        
            pip install nose
        
        Run nosetests from the root directory of the repository:
        
        ::
        
            nosetests -v paramz/tests
        
        or using setuptools
        
        ::
        
            python setup.py test
        
        Compiling documentation:
        ------------------------
        
        The documentation is stored in doc/ and is compiled with the Sphinx
        Python documentation generator, and is written in the reStructuredText
        format.
        
        The Sphinx documentation is available here:
        http://sphinx-doc.org/latest/contents.html
        
        **Installing dependencies:**
        
        To compile the documentation, first ensure that Sphinx is installed. On
        Debian-based systems, this can be achieved as follows:
        
        ::
        
            sudo apt-get install python-pip
            sudo pip install sphinx
        
        **Compiling documentation:**
        
        The documentation can be compiled as follows:
        
        ::
        
            cd doc
            sphinx-apidoc -o source/ ../GPy/
            make html
        
        The HTML files are then stored in doc/build/html
        
        Funding Acknowledgements
        ------------------------
        
        Current support for the paramz software is coming through the following
        projects.
        
        -  `EU FP7-PEOPLE Project Ref
           316861 <http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/projects/mlpm/>`_
           "MLPM2012: Machine Learning for Personalized Medicine"
        
        .. |pypi| image:: https://badge.fury.io/py/paramz.svg
        .. |build| image:: https://travis-ci.org/sods/paramz.svg?branch=master
        .. |codecov| image:: https://codecov.io/github/sods/paramz/coverage.svg?branch=master
        .. |docStat| image:: https://readthedocs.org/projects/paramz/badge/?version=latest
        
Keywords: machine-learning gaussian-processes kernels
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: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
