Project description

PyIFS

A python3 package for infinite feature selection

$ pip install PyIFS

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

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)

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

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This version

0.0.3

May 15, 2020

0.0.2

May 15, 2020

0.0.1

May 15, 2020

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