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

Project Activity

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Categories

Bio-Informatics, Machine Learning

License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Languages

English

Intended Audience

Information Technology, Quality Engineers, Science/Research

Programming Language

Python

Related Categories

Python Bio-Informatics Software, Python Machine Learning Software

Registered

2013-03-10
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