Metadata-Version: 1.1
Name: liknorm
Version: 1.0.12
Summary: Liknorm Python wrapper
Home-page: https://github.com/limix/liknorm-py
Author: Danilo Horta
Author-email: horta@ebi.ac.uk
License: MIT
Description: 
        liknorm-py
        ==========
        
        |PyPI-Status| |Conda-Forge-Status| |Conda-Downloads|
        
        |Build-Status| |Codacy-Grade| |License-Badge|
        
        Liknorm Python wrapper.
        
        Install
        -------
        
        The recommended way of installing it is via conda_
        
        .. code:: bash
        
            conda install -c conda-forge liknorm-py
        
        An alternative way would be via pip_.
        First you need to install liknorm_ library and then
        
        .. code:: bash
        
            pip install liknorm-py
        
        Running the tests
        -----------------
        
        After installation, you can test it
        
        .. code:: bash
        
            python -c "import liknorm; liknorm.test()"
        
        as long as you have pytest_.
        
        Example
        -------
        
        .. code:: python
        
            >>> from numpy import empty
            >>> from numpy.random import RandomState
            >>> from liknorm import LikNormMachine
            >>>
            >>> machine = LikNormMachine('bernoulli')
            >>> random = RandomState(0)
            >>> outcome = random.randint(0, 2, 5)
            >>> tau = random.rand(5)
            >>> eta = random.randn(5) * tau
            >>>
            >>> log_zeroth = empty(5)
            >>> mean = empty(5)
            >>> variance = empty(5)
            >>>
            >>> moments = {'log_zeroth': log_zeroth, 'mean': mean, 'variance': variance}
            >>> machine.moments(outcome, eta, tau, moments)
            >>>
            >>> print('%.3f %.3f %.3f' % (log_zeroth[0], mean[0], variance[0]))
            -0.671 -0.515 0.946
        
        Authors
        -------
        
        * `Danilo Horta`_
        
        License
        -------
        
        This project is licensed under the MIT License - see the `license file`_ for
        details.
        
        .. |Build-Status| image:: https://travis-ci.org/limix/liknorm-py.svg?branch=master
            :target: https://travis-ci.org/limix/liknorm-py
        
        .. |Codacy-Grade| image:: https://api.codacy.com/project/badge/Grade/c13a6a45773e41d9bc4e3b1c679b3b96
            :target: https://www.codacy.com/app/danilo.horta/liknorm-py?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=limix/liknorm-py&amp;utm_campaign=Badge_Grade
        
        .. |PyPI-Status| image:: https://img.shields.io/pypi/v/liknorm.svg
            :target: https://pypi.python.org/pypi/liknorm
        
        .. |Conda-Forge-Status| image:: https://anaconda.org/conda-forge/liknorm-py/badges/version.svg
            :target: https://anaconda.org/conda-forge/liknorm-py
        
        .. |Conda-Downloads| image:: https://anaconda.org/conda-forge/liknorm-py/badges/downloads.svg
            :target: https://anaconda.org/conda-forge/liknorm-py
        
        .. |License-Badge| image:: https://img.shields.io/pypi/l/liknorm.svg
            :target: https://raw.githubusercontent.com/limix/liknorm-py/master/LICENSE.txt
        
        .. _license file: https://raw.githubusercontent.com/limix/liknorm-py/master/LICENSE.txt
        
        .. _Danilo Horta: https://github.com/horta
        
        .. _conda: http://conda.pydata.org/docs/index.html
        
        .. _pip: https://pypi.python.org/pypi/pip
        
        .. _pytest: http://docs.pytest.org/en/latest/
        
        .. _liknorm: http://liknorm.readthedocs.io/
        
Keywords: liknorm,integration
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
