ITMO-FS 0.2.1

Python Feature Selection library from ITMO University.

Feature selection library in Python

Package information:

Install with

pip install ITMO_FS

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
MOSNS
MOSS

To use basic filter:

from sklearn.datasets import load_iris
from filters.UnivariateFilter import * # provides you a filter class, basic measures and cutting rules

data, target = load_iris(True)
res = UnivariateFilter("SpearmanCorr", GLOB_CR["Best by value"](0.9999)).run(data, target)
print("SpearmanCorr:", data.shape, '--->', res.shape)