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.
- Works with Python 2.6, 2.7, 3.3, 3.4
- NumPy: www.numpy.org
- SciPy: www.scipy.org
Install EnsembleBuilder with pip
pip install EB
Install EnsembleBuilder by cloning the GitHub repo
git clone https://github.com/rvswift/EB cd EB make install
To run, type ensemblebuilder on the command line
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.
- First release on PyPI.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|EB-0.1.5-py2.py3-none-any.whl (40.2 kB) Copy SHA256 hash SHA256||Wheel||2.7||Nov 19, 2015|
|EB-0.1.5.tar.gz (35.3 kB) Copy SHA256 hash SHA256||Source||None||Nov 19, 2015|