Welcome to MOAFS’s documentation!¶
MOAFS
is a library for the Massive Online Analysis (MOA) framework. It is based on the MOAReduction extension and contains seven
feature selection algorithms to be used as dimensionality reduction techniques in data streams classification problems, especially in the text-domain field.
MOAFS
uses an incremental version of Naïve Bayes as the base classifier.
Getting started: