Metadata-Version: 1.1
Name: fem
Version: 0.0.81
Summary: Free Energy Minimization
Home-page: http://lbm.niddk.nih.gov/mckennajp/fem
Author: Joseph P. McKenna
Author-email: joepatmckenna@gmail.com
License: MIT
Download-URL: https://pypi.org/project/fem
Description: Free Energy Minimization
        ========================
        
        Quick Start
        -----------
        
        Installation
        ~~~~~~~~~~~~
        
        - To install ``fem``:
        
          .. code-block:: sh
        
             pip install fem
        
          .. note:: This package requires a fortran compiler to compile an external module; a popular, free choice is gfortran. This package also depends on the the lapack development files.
        
        
        - Load ``fem`` in your Python script:
        
          .. code-block:: python
        
             import fem
        
        Interactive notebook
        ~~~~~~~~~~~~~~~~~~~~
        
        Launch an interactive Jupyter notebook using Binder to run and edit the examples in the documentation:
        
        .. image:: https://mybinder.org/badge.svg
           :target: https://mybinder.org/v2/gh/joepatmckenna/fem/master?filepath=doc%2Fnotebooks
        
        Links
        -----
        
        Online documentation:
            http://joepatmckenna.github.io/fem
        
        Source code repository:
            https://github.com/joepatmckenna/fem
        
        Python package index:
            https://pypi.python.org/pypi/fem
        
Keywords: inference,statistics,machine learning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
