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https://github.com/awojna/Rseslib
26 May 2023, 10:30:29 UTC
Revision 04aaca974c00fd3b2aea916a68b52c0a66788aca authored by awojna on 04 January 2022, 15:54:46 UTC, committed by awojna on 04 January 2022, 15:54:46 UTC 
Capabilities check added in Weka wrappers of Rseslib classifiers
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Tip revision: 04aaca974c00fd3b2aea916a68b52c0a66788aca authored by awojna on 04 January 2022, 15:54:46 UTC
Capabilities check added in Weka wrappers of Rseslib classifiers
Tip revision: 04aaca9
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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