it.uniroma2.sag.kelp.examples.main

Class HelloKernelLearning

java.lang.Object

it.uniroma2.sag.kelp.examples.main.HelloKernelLearning

public class HelloKernelLearning
extends Object

This is a classification example based on the kernelized version of the Passive Aggressive algorithm. A polynomial kernel is here applied on the examples.

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
HelloKernelLearning()

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

HelloKernelLearning

public HelloKernelLearning()

Method Detail

main

public static void main(String[] args)