it.uniroma2.sag.kelp.predictionfunction.model

Class BinaryModel

java.lang.Object

it.uniroma2.sag.kelp.predictionfunction.model.BinaryModel

All Implemented Interfaces:

Model

Direct Known Subclasses:

BinaryKernelMachineModel, BinaryLinearModel

public abstract class BinaryModel
extends Object
implements Model

It is the model for a binary method consisting on a hyperplane

Author:

Simone Filice

Field Summary

Fields

Modifier and Type	Field and Description
protected float	bias

Constructor Summary

Constructors

Constructor and Description
BinaryModel()

Method Summary

Methods

Modifier and Type	Method and Description
abstract void	addExample(float weight, Example example) Adds an example to the model with a given weight.
float	getBias()
abstract float	getSquaredNorm() Computes the squared norm of the hyperplane this model is based on
abstract float	getSquaredNorm(Example example) Computes the squared norm of a given example according to the space in which the model is operating
void	setBias(float bias)

Methods inherited from class java.lang.Object

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

Methods inherited from interface it.uniroma2.sag.kelp.predictionfunction.model.Model

reset

Field Detail

bias

protected float bias

Constructor Detail

BinaryModel

public BinaryModel()

Method Detail

getBias

public float getBias()

Returns:

the bias (i.e. the constant term of the hyperplane)

setBias

public void setBias(float bias)

Parameters:

bias - the bias (i.e. the constant term of the hyperplane) to set

addExample

public abstract void addExample(float weight,
              Example example)

Adds an example to the model with a given weight. The model will become a linear combination of the current model and the example

Parameters:

weight - the weight of the new example to add

example - the example to add

getSquaredNorm

public abstract float getSquaredNorm(Example example)

Computes the squared norm of a given example according to the space in which the model is operating

Parameters:

example - the example whose squared norm is required

Returns:

the squared norm of a given example

getSquaredNorm

public abstract float getSquaredNorm()

Computes the squared norm of the hyperplane this model is based on

Returns:

the squared norm of the hyperplane