Metadata-Version: 2.1
Name: ITMO_FS
Version: 0.1
Summary: Python Feature Selection library from ITMO University
Home-page: UNKNOWN
Author: Nikita Pilnenskiy
Author-email: somacruz@bk.ru
License: UNKNOWN
Description: # ITMO_FS
        Feature selection library in Python 
        
        Package information: ![Python 2.7](https://img.shields.io/badge/python-2.7-blue.svg)
        ![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)
        ![License](https://img.shields.io/badge/license-MIT%20License-blue.svg)
        
        Install with 
        
            pip install https://github.com/LastShekel/ITMO_FS/tarball/master
            
        Current available algorithms:
        
        | Filters                              | Wrappers                     | Hybrid |
        |--------------------------------------|------------------------------|--------|
        | Spearman correlation                 | Add Del                      | MeLiF  |
        | Pearson correlation                  | Backward selection           |        |
        | Fit Criterion                        | Sequential Forward Selection |        |
        | F ratio                              |                              |        |
        | Gini index                           |                              |        |
        | Information Gain                     |                              |        |
        | Minimum Redundancy Maximum Relevance |                              |        |
        | VDM                                  |                              |        |
        
        To use basic filter:
            
            from sklearn.datasets import load_iris
            from filters.Filter import * # provides you a filter class, basic measures and cutting rules
            
            data, target = load_iris(True)
            res = Filter("SpearmanCorr", GLOB_CR["Best by value"](0.9999)).run(data, target)
            print("SpearmanCorr:", data.shape, '--->', res.shape)
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
