it.uniroma2.sag.kelp.predictionfunction.regressionfunction

Class UnivariateRegressionOutput

java.lang.Object

it.uniroma2.sag.kelp.predictionfunction.regressionfunction.UnivariateRegressionOutput

All Implemented Interfaces:

Prediction, RegressionOutput

public class UnivariateRegressionOutput
extends Object
implements RegressionOutput

It is the output of a univariate regression prediction function. It basically consist of a single real value which is associated to a specific property

Author:

Simone Filice

Constructor Summary

Constructors

Constructor and Description
UnivariateRegressionOutput(Label property, float predictedValue)
UnivariateRegressionOutput(NumericLabel result)

Method Summary

Methods

Modifier and Type	Method and Description
List<Label>	getAllProperties() Returns all the properties on which the regressor has to provide predictions
Float	getScore(Label label) Return the prediction score associated to a given label

Methods inherited from class java.lang.Object

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

Constructor Detail

UnivariateRegressionOutput

public UnivariateRegressionOutput(NumericLabel result)

UnivariateRegressionOutput

public UnivariateRegressionOutput(Label property,
                          float predictedValue)

Method Detail

getScore

public Float getScore(Label label)

Description copied from interface: Prediction

Return the prediction score associated to a given label

Specified by:

getScore in interface Prediction

Parameters:

label - the label whose associated score is required

Returns:

the score associated to a given label

getAllProperties

public List<Label> getAllProperties()

Description copied from interface: RegressionOutput

Returns all the properties on which the regressor has to provide predictions

Specified by:

getAllProperties in interface RegressionOutput

Returns:

all the properties on which the regressor has to provide predictions