Metadata-Version: 2.1
Name: vx
Version: 0.1.3
Summary: Python implementation of the SBB genetic programming algorithm for classification tasks (library).
Home-page: https://pypi.org/project/vx/
Author: Mat Kallada
Author-email: matkallada@gmail.com
License: UNKNOWN
Description: # SBBClassifier
        VX: Python implementation of **Symbiotic Bid-Based (SBB)** framework for problem decomposition using Genetic Programming (GP). Algorithm developed by the NIMS laboratory, Dalhousie University, Canada. This implementation can be used as a library to apply GP to classification tasks.
        
        ## 1. References
        **PhD Thesis**
        
        Lichodzijewski, P. (2011) A Symbiotic Bid-Based (SBB) framework for problem decomposition using Genetic Programming, PhD Thesis ([link](http://web.cs.dal.ca/~mheywood/Thesis/PLichodzijewski.pdf))
        
        ## 2. How to Run
        
        To run this algorithm in Python:
        ```
        from vx.SBB.sbb import SBB
        from vx.SBB.config import Config
        
        if __name__ == "__main__":
            Config.check_parameters()
            SBB().run()
        ```
        
        All configurable options are in the SBB/config.py file, in the variable CONFIG.
        
Keywords: machine learning,genetic programming,example
Platform: UNKNOWN
Description-Content-Type: text/markdown
