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https://github.com/awojna/Rseslib
18 February 2024, 14:27:56 UTC
Revision 1af3b40e5e19b9171ea6189dabe75c1145b0d96a authored by awojna on 04 January 2022, 14:16:47 UTC, committed by awojna on 04 January 2022, 14:16:47 UTC 
Update Weka dependency to the latest Weka version 3.8.5
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Tip revision: 1af3b40e5e19b9171ea6189dabe75c1145b0d96a authored by awojna on 04 January 2022, 14:16:47 UTC
Update Weka dependency to the latest Weka version 3.8.5
Tip revision: 1af3b40
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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