it.uniroma2.sag.kelp.utils.evaluation

Class RegressorEvaluator

java.lang.Object

it.uniroma2.sag.kelp.utils.evaluation.Evaluator

it.uniroma2.sag.kelp.utils.evaluation.RegressorEvaluator

public class RegressorEvaluator
extends Evaluator

This is an instance of an Evaluator. It allows to compute the some common measure for regression tasks.

Author:

Giuseppe Castellucci

Field Summary

Fields inherited from class it.uniroma2.sag.kelp.utils.evaluation.Evaluator

computed

Constructor Summary

Constructors

Constructor and Description
RegressorEvaluator(List<Label> labels)

Method Summary

Methods

Modifier and Type	Method and Description
void	addCount(Example test, Prediction prediction) This method should be implemented in the subclasses to update counters useful to compute the performance measure
void	clear() This method should reset the state of the evaluator
protected void	compute() This method is intented to force the computation of the performance measure.
RegressorEvaluator	duplicate() Returns a new instance of this Evaluator
float	getMeanSquaredError(Label label) Returns the mean square error of the Label label.
float	getMeanSquaredErrors() Returns the mean error between the different Label{s}

Methods inherited from class it.uniroma2.sag.kelp.utils.evaluation.Evaluator

getPerformanceMeasure

Methods inherited from class java.lang.Object

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

Constructor Detail

RegressorEvaluator

public RegressorEvaluator(List<Label> labels)

Method Detail

addCount

public void addCount(Example test,
            Prediction prediction)

Description copied from class: Evaluator

This method should be implemented in the subclasses to update counters useful to compute the performance measure

Specified by:

addCount in class Evaluator

Parameters:

test - the test example

prediction - the prediction of the system

compute

protected void compute()

Description copied from class: Evaluator

This method is intented to force the computation of the performance measure.

Specified by:

compute in class Evaluator

getMeanSquaredError

public float getMeanSquaredError(Label label)

Returns the mean square error of the Label label.

Parameters:

label -

Returns:

a float or -1 if label is not a valid label for this Evaluator

getMeanSquaredErrors

public float getMeanSquaredErrors()

Returns the mean error between the different Label{s}

Returns:

a float

clear

public void clear()

Description copied from class: Evaluator

This method should reset the state of the evaluator

Specified by:

clear in class Evaluator

duplicate

public RegressorEvaluator duplicate()

Description copied from class: Evaluator

Returns a new instance of this Evaluator

Specified by:

duplicate in class Evaluator

Returns:

a new instance of this Evaluator