PyIFS

A python3 package for infinite feature selection

Installation

$ pip install PyIFS

How to use

import PyIFS
inf = PyIFS.InfFS()
[RANKED, WEIGHT] = inf.infFS(x, y, alpha, supervision, verbose)

INPUT:

• x is a T by n matrix, where T is the number of samples and n the number of features
• y is a column vector with class labels
• alpha is the mixing parameter
• supervision is a boolean variable (0 = unsupervised version, 1 = supervised version)
• verbose is a boolean variable (0, 1)

OUTPUT:

• RANKED are indices of columns in x ordered by attribute importance
• WEIGHT are attribute weights with large positive weights assigned to important attributes