weka.classifiers.evaluation

Class NumericPrediction

java.lang.Object

weka.classifiers.evaluation.NumericPrediction

All Implemented Interfaces:

java.io.Serializable, Prediction, RevisionHandler

public class NumericPrediction
extends java.lang.Object
implements Prediction, java.io.Serializable, RevisionHandler

Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.

Version:

$Revision: 8034 $

Author:

Len Trigg (len@reeltwo.com)

See Also:

Serialized Form

Field Summary

Fields inherited from interface weka.classifiers.evaluation.Prediction

MISSING_VALUE

Constructor Summary

Constructors

Constructor and Description
NumericPrediction(double actual, double predicted) Creates the NumericPrediction object with a default weight of 1.0.
NumericPrediction(double actual, double predicted, double weight) Creates the NumericPrediction object.
NumericPrediction(double actual, double predicted, double weight, double[][] predInt) Creates the NumericPrediction object.

Method Summary

Modifier and Type	Method and Description
double	actual() Gets the actual class value.
double	error() Calculates the prediction error.
java.lang.String	getRevision() Returns the revision string.
double	predicted() Gets the predicted class value.
double[][]	predictionIntervals() Returns the predictions intervals.
void	setPredictionIntervals(double[][] predInt) Sets the prediction intervals for this prediction.
java.lang.String	toString() Gets a human readable representation of this prediction.
double	weight() Gets the weight assigned to this prediction.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

NumericPrediction

public NumericPrediction(double actual,
                         double predicted)

Creates the NumericPrediction object with a default weight of 1.0.

Parameters:

actual - the actual value, or MISSING_VALUE.

predicted - the predicted value, or MISSING_VALUE.

NumericPrediction

public NumericPrediction(double actual,
                         double predicted,
                         double weight)

Creates the NumericPrediction object.

Parameters:

actual - the actual value, or MISSING_VALUE.

predicted - the predicted value, or MISSING_VALUE.

weight - the weight assigned to the prediction.

NumericPrediction

public NumericPrediction(double actual,
                         double predicted,
                         double weight,
                         double[][] predInt)

Creates the NumericPrediction object.

Parameters:

actual - the actual value, or MISSING_VALUE.

predicted - the predicted value, or MISSING_VALUE.

weight - the weight assigned to the prediction.

predInt - the prediction intervals from classifiers implementing the IntervalEstimator interface.

See Also:

IntervalEstimator

Method Detail

actual

public double actual()

Gets the actual class value.

Specified by:

actual in interface Prediction

Returns:

the actual class value, or MISSING_VALUE if no prediction was made.

predicted

public double predicted()

Gets the predicted class value.

Specified by:

predicted in interface Prediction

Returns:

the predicted class value, or MISSING_VALUE if no prediction was made.

weight

public double weight()

Gets the weight assigned to this prediction. This is typically the weight of the test instance the prediction was made for.

Specified by:

weight in interface Prediction

Returns:

the weight assigned to this prediction.

error

public double error()

Calculates the prediction error. This is defined as the predicted value minus the actual value.

Returns:

the error for this prediction, or MISSING_VALUE if either the actual or predicted value is missing.

setPredictionIntervals

public void setPredictionIntervals(double[][] predInt)

Sets the prediction intervals for this prediction.

Parameters:

predInt - the prediction intervals

predictionIntervals

public double[][] predictionIntervals()

Returns the predictions intervals. Only classifiers implementing the IntervalEstimator interface.

Returns:

the prediction intervals.

See Also:

IntervalEstimator

toString

public java.lang.String toString()

Gets a human readable representation of this prediction.

Overrides:

toString in class java.lang.Object

Returns:

a human readable representation of this prediction.

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Returns:

the revision