Metadata-Version: 2.1
Name: fastemc
Version: 0.0.1
Summary: FastEMC is a method for dimensionality reduction.
Home-page: https://github.com/rowland-208/fastemc
Author: James Rowland
Author-email: rowland.208@gmail.com
License: UNKNOWN
Description: # FastEMC
        ### Fast Exponential Monte Carlo
        
        FastEMC is a modified version of exponential Monte Carlo.
        FastEMC takes class features and labels as input,
        and returns a list of scores and a list of selected features.
        The score is based on logistic regression.
        Two logistic regression classifiers are used:
        1) a fast classifier with limited training,
        2) and a slow classifier with full training.
        
        The fast classifier is used to explore feature space rapidly.
        Features are occasionaly compared using the slow classifier.
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
