FAMa is a machine learning framework developed at Instituto Militar de Engenharia (IME).
Project Manager: Julio Cesar Duarte, PhD
Developers: Felipe de Almeida Oliveira, Joilson Cisne dos Santos, Geraldo Avelino de Oliveira Neto
Work has being done by Naum Azeredo to document and organize the current state of the project, so others can use easily, without going deep into source code.
The project subdivides into four main classes:
-
Corpus Deals with the datasets.
-
Avaliador Evaluates performance of a classifier applied to a dataset.
-
Treinador Machine learning trainer.
-
Classificador Machine learning classifier