Metadata-Version: 1.1
Name: EB
Version: 0.1.3
Summary: Ensemble Builder
Home-page: https://github.com/rvswift/EB
Author: Rob Swift
Author-email: robvswift@gmail.com
License: BSD
Description: ===============================
        EB
        ===============================
        
        .. image:: https://img.shields.io/travis/rvswift/EB.svg
                :target: https://travis-ci.org/rvswift/EB
        
        .. image:: https://img.shields.io/pypi/v/EB.svg
                :target: https://pypi.python.org/pypi/EB
        
        
        EnsembleBuilder uses compound activity data to train structure based ensembles to prospectively classify active and
        inactive compounds.
        
        * Free software: BSD license
        * Documentation: https://EB.readthedocs.org.
        
        Features
        --------
        
        * Works with Python 2.6, 2.7, 3.3, 3.4
        
        
        Installation
        ------------
        
        Installation prerequisites
        
        * NumPy: www.numpy.org
        * SciPy: www.scipy.org
        
        Install EnsembleBuilder with pip
        
        .. code:: bash
        
          pip install EB
        
        Install EnsembleBuilder by cloning the GitHub repo
        
        .. code:: bash
        
          git clone https://github.com/rvswift/EB
          cd EB
          make install
        
        Usage
        -----
        
        To run, type ensemblebuilder on the command line
        
        .. code:: bash
        
          usage:	ensemblebuilder <mode> <args>
        
        	        ensemblebuilder <mode> to show help for that mode.
        
          modes:
            exhaustive	   Determine the best performer by considering all possible ensembles, O(2^N).
            fastheuristic  Determine the best ensemble using a O(N) heuristic.
            slowheuristic  Determine the best ensemble using an O(N^2) heuristic.
            postanalysis   Plot and analyze the performance of one or more ensembles.
            splitter	   Split csv input into training and test sets.
        
        
        
        
        History
        -------
        
        0.1.0 (ls)
        ---------------------
        
        * First release on PyPI.
        
Keywords: EB
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
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 :: 3.3
Classifier: Programming Language :: Python :: 3.4
