Metadata-Version: 2.1
Name: random-genetic-forest
Version: 0.0a2
Summary: This is a machine learning package that includes a theoretical optimized variation of the random forest learning algorithm.
Home-page: https://github.com/tab-dev/Random-Genetic-Forest
Author: Timothy Bennett
Author-email: tabdevelopment1@gmail.com
License: UNKNOWN
Description: # Random-Genetic-Forest
        
        The Random-Genetic Forest(RGF) is a variation of the original Random Forest machine learning algorithm. The RGF algorithm uses genetic algorithms to potential optimize accuracy and/or create non-parametric learning models. This implementation is a Spark module that allows for use in Big Data problems. The RGF Python module consumes datasets using Pyspark dataframes and creates RGF models. 
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6.7
Description-Content-Type: text/markdown
