it.uniroma2.sag.kelp.predictionfunction.regressionfunction

Class UnivariateRegressionFunction

java.lang.Object

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

All Implemented Interfaces:

PredictionFunction, RegressionFunction

Direct Known Subclasses:

UnivariateKernelMachineRegressionFunction, UnivariateLinearRegressionFunction

public abstract class UnivariateRegressionFunction
extends Object
implements RegressionFunction

It is a univariate regression prediction function. Univariate means that the output is a single real value associated to a specific property.

Author:

Simone Filice

Field Summary

Fields

Modifier and Type	Field and Description
protected Label	property

Constructor Summary

Constructors

Constructor and Description
UnivariateRegressionFunction()

Method Summary

Methods

Modifier and Type	Method and Description
List<Label>	getLabels() Returns the labels representing the concept to be predicted.
abstract BinaryModel	getModel() Returns the model
abstract UnivariateRegressionOutput	predict(Example example)
void	reset() Resets all the predictor parameters to the default state.
void	setLabels(List<Label> labels) Sets the labels representing the concept to be predicted.

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.PredictionFunction

setModel

Field Detail

property

protected Label property

Constructor Detail

UnivariateRegressionFunction

public UnivariateRegressionFunction()

Method Detail

setLabels

public void setLabels(List<Label> labels)

Description copied from interface: PredictionFunction

Sets the labels representing the concept to be predicted.

Specified by:

setLabels in interface PredictionFunction

Parameters:

positiveClass - the label associated to the positive class

getLabels

public List<Label> getLabels()

Description copied from interface: PredictionFunction

Returns the labels representing the concept to be predicted.

Specified by:

getLabels in interface PredictionFunction

Returns:

the label associated to the property

predict

public abstract UnivariateRegressionOutput predict(Example example)

Specified by:

predict in interface PredictionFunction

Specified by:

predict in interface RegressionFunction

getModel

public abstract BinaryModel getModel()

Description copied from interface: PredictionFunction

Returns the model

Specified by:

getModel in interface PredictionFunction

Returns:

the model

reset

public void reset()

Description copied from interface: PredictionFunction

Resets all the predictor parameters to the default state. All the learned process is forgotten

Specified by:

reset in interface PredictionFunction