it.uniroma2.sag.kelp.predictionfunction.regressionfunction

Class UnivariateKernelMachineRegressionFunction

java.lang.Object

it.uniroma2.sag.kelp.predictionfunction.regressionfunction.UnivariateRegressionFunction

it.uniroma2.sag.kelp.predictionfunction.regressionfunction.UnivariateKernelMachineRegressionFunction

All Implemented Interfaces:

PredictionFunction, RegressionFunction

public class UnivariateKernelMachineRegressionFunction
extends UnivariateRegressionFunction

It is a univariate regression prediction function consisting of an implicit hyperplane in a Reproducing Kernel Hilbert Space. Univariate means that the output is a single real value associated to a specific property.

Author:

Simone Filice

Field Summary

Fields inherited from class it.uniroma2.sag.kelp.predictionfunction.regressionfunction.UnivariateRegressionFunction

property

Constructor Summary

Constructors

Constructor and Description
UnivariateKernelMachineRegressionFunction()

Method Summary

Methods

Modifier and Type	Method and Description
BinaryKernelMachineModel	getModel() Returns the model
UnivariateRegressionOutput	predict(Example example)
void	setModel(Model model) Sets the model

Methods inherited from class it.uniroma2.sag.kelp.predictionfunction.regressionfunction.UnivariateRegressionFunction

getLabels, reset, setLabels

Methods inherited from class java.lang.Object

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

Constructor Detail

UnivariateKernelMachineRegressionFunction

public UnivariateKernelMachineRegressionFunction()

Method Detail

predict

public UnivariateRegressionOutput predict(Example example)

Specified by:

predict in interface PredictionFunction

Specified by:

predict in interface RegressionFunction

Specified by:

predict in class UnivariateRegressionFunction

getModel

public BinaryKernelMachineModel getModel()

Description copied from interface: PredictionFunction

Returns the model

Specified by:

getModel in interface PredictionFunction

Specified by:

getModel in class UnivariateRegressionFunction

Returns:

the model

setModel

public void setModel(Model model)

Description copied from interface: PredictionFunction

Sets the model

Parameters:

model - the model to set