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Ensemble Builder

Project description

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EB
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.. 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
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* 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
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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
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0.1.0 (ls)
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* First release on PyPI.

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