Mullpy is a machine-learning library that mainly aim to solve multi-label problems. It is classifier independent, has many ensemble capabilities (diversity methods like bagging, random subspaces, etc.) and automated results presentation (Excel, images as ROC or class-separated info, etc.). It is fully configurable. At the moment supports Neural Networks and classifiers defined in files. It is working on python3.3.
Features
- Learning
- Testing
- Validation
- Classifier independent
- Auto-configuring some learning parameters
- Automatic display of completely classifier info in excel format
- Automatic display of figures (ROCs, scatters, easy to implement new ones)
- Diversity measures for the ensembles in excel table
- Meta-Ensembles construction (real outputs, oracle outputs)
- SMV/WMV/ easy to implement new ones
- Modular code that permits quick expansion
License
GNU General Public License version 3.0 (GPLv3)Follow mullpy
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