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
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of mullpy!