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https://github.com/awojna/Rseslib
30 January 2023, 20:07:09 UTC
Revision e958aff0ed4c89ea18b51ec95a1eb9d781292836 authored by grzegorzgora on 20 January 2023, 12:05:12 UTC, committed by grzegorzgora on 20 January 2023, 12:05:12 UTC 
RIONIDA available in QMAK
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Tip revision: e958aff0ed4c89ea18b51ec95a1eb9d781292836 authored by grzegorzgora on 20 January 2023, 12:05:12 UTC
RIONIDA available in QMAK
Tip revision: e958aff
README.md 
# Rseslib
Rough set and machine learning data structures, algorithms and tools in Java. The project includes algorithms for discernibility matrix, reducts, decision rules and wide range of discretization and classification algorithms, including optimized for large data high-accuracy K-NN classifier implementing analogy-based reasoning. The project includes also QMAK - a tool for interacting with machine learning models and visualizing classification process and Simple Grid Manager for running experiments on many computers or cores.

The project is built with Maven.

For more information see the user guide at http://rseslib.mimuw.edu.pl.
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