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
pip install EBInstall EnsembleBuilder by cloning the GitHub repo
git clone https://github.com/rvswift/EB
cd EB
make installUsage
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.History
0.1.0 (ls)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for EB 0.1.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| EB-0.1.5.tar.gz | 35.3 kB | Without provenance | Details for EB-0.1.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| EB-0.1.5-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for EB-0.1.5-py2.py3-none-any.whl |
Total release size: 75.5 kB
Release files / EB-0.1.5.tar.gz
| Download URL | EB-0.1.5.tar.gz |
|---|---|
| Size | 35.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
Release files / EB-0.1.5-py2.py3-none-any.whl
| Download URL | EB-0.1.5-py2.py3-none-any.whl |
|---|---|
| Size | 40.2 kB |
| Tags | Python 2 Python 3 |
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Security for EB 0.1.5
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