Classifer 2.1.4

Classifer - A Java implementation of a maximum entropy classifier.

A Java implementation of a maximum entropy classifier.

Classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item.

This software is a Java implementation of a maximum entropy classifier. Maximum entropy models are otherwise known as conditional loglinear models, and are essentially equivalent to multiclass logistic regression models (though parameterized slightly differently, in a way that is advantageous with sparse explanatory feature vectors).

Requirements:

- Java 1.5

Classifer 2.1.4 is licensed as Freeware for the Windows operating system / platform. Classifer is provided as a free download for all software users (Freeware).