allgebrist / itmo_fs

Feature selection library in python

ITMO_FS

Feature selection library in Python

Package information:

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)