it.uniroma2.sag.kelp.examples.main

Class HelloLearning

java.lang.Object

it.uniroma2.sag.kelp.examples.main.HelloLearning

public class HelloLearning
extends Object

This is a very simple classification example based on a linear version of the Passive Aggressive algorithm.

Dataset used are the ones used in the svmlight website. They have been modified to be read by KeLP. In fact, a single row in KeLP must indicate what kind of vectors your are using, Sparse or Dense. In the svmlight dataset there are Sparse vectors, so if you open the train.klp and test.klp files you can notice that each vector is enclosed in BeginVector (|BV|) and EndVector (|EV|) tags.

Author:

Giuseppe Castellucci, Danilo Croce

Constructor Summary

Constructors

Constructor and Description
HelloLearning()

Method Summary

Methods

Modifier and Type	Method and Description
static void	main(String[] args)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

HelloLearning

public HelloLearning()

Method Detail

main

public static void main(String[] args)