pystream

An MOA-based implementation for data stream classification in Python/Cython

Includes:

Base learners:

• Very Fast Decision Tree (https://homes.cs.washington.edu/~pedrod/papers/kdd00.pdf)
• Strict Very Fast Decision Tree (https://www.sciencedirect.com/science/article/pii/S0167865518305580)
• OLBoost (to be upload on arxiv)

Ensembles:

• OzaBag/OzaBoost (https://ti.arc.nasa.gov/m/profile/oza/files/ozru01a.pdf)
• OAUE (https://www.sciencedirect.com/science/article/pii/S0020025513008554)
• LevBag (https://core.ac.uk/download/pdf/129931682.pdf)
• ARF (https://link.springer.com/article/10.1007/s10994-017-5642-8)

Util and evaluation classes.

To run:

• pip install -r requirements.txt --user
• python setup.py build_ext --inplace (builds Cython extensions and creates .so files)
• python setup.py install --user
• Follow test.py file

TODO:

• Fully document code
• Improve Cython implementation
• Add more algorithms
• Provide a better usage manual

Note

• Needs cython to compile code when installing