jsat.regression.evaluation

Class MeanSquaredError

java.lang.Object

jsat.regression.evaluation.MeanSquaredError

All Implemented Interfaces:

java.io.Serializable, RegressionScore

public class MeanSquaredError
extends java.lang.Object
implements RegressionScore

Uses the Mean of the Squared Errors between the predictions and the true values.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MeanSquaredError()
MeanSquaredError(boolean rmse)
MeanSquaredError(MeanSquaredError toCopy) Copy constructor

Method Summary

Modifier and Type	Method and Description
void	addResult(double prediction, double trueValue, double weight) Adds the given result to the score
void	addResults(RegressionScore other) The score contained in this object is augmented with the results already accumulated in the other object.
MeanSquaredError	clone()
boolean	equals(java.lang.Object obj)
java.lang.String	getName() Returns the name to present for this score
double	getScore() Computes the score for the results that have been enrolled via RegressionScore.addResult(double, double, double)
int	hashCode()
boolean	isRMSE()
boolean	lowerIsBetter() Returns true if a lower score is better, or false if a higher score is better
void	prepare()
void	setRMSE(boolean rmse)

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MeanSquaredError

public MeanSquaredError()

MeanSquaredError

public MeanSquaredError(boolean rmse)

MeanSquaredError

public MeanSquaredError(MeanSquaredError toCopy)

Copy constructor

Parameters:

toCopy - the object to copy

Method Detail

setRMSE

public void setRMSE(boolean rmse)

isRMSE

public boolean isRMSE()

prepare

public void prepare()

Specified by:

prepare in interface RegressionScore

addResult

public void addResult(double prediction,
                      double trueValue,
                      double weight)

Description copied from interface: RegressionScore

Adds the given result to the score

Specified by:

addResult in interface RegressionScore

Parameters:

prediction - the prediction for the data point

trueValue - the true value for the data point

weight - the weigh to assign to the data point

addResults

public void addResults(RegressionScore other)

Description copied from interface: RegressionScore

The score contained in this object is augmented with the results already accumulated in the other object. This does not result in an averaging, but alters the current object to have the same score it would have had if all the results were originally inserted into this object.

This method is only required to work if other if of the same class as this object.

Specified by:

addResults in interface RegressionScore

Parameters:

other - the object to add the results from

getScore

public double getScore()

Description copied from interface: RegressionScore

Computes the score for the results that have been enrolled via RegressionScore.addResult(double, double, double)

Specified by:

getScore in interface RegressionScore

Returns:

the score for the current results

lowerIsBetter

public boolean lowerIsBetter()

Description copied from interface: RegressionScore

Returns true if a lower score is better, or false if a higher score is better

Specified by:

lowerIsBetter in interface RegressionScore

Returns:

true if a lower score is better

hashCode

public int hashCode()

Specified by:

hashCode in interface RegressionScore

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Specified by:

equals in interface RegressionScore

Overrides:

equals in class java.lang.Object

clone

public MeanSquaredError clone()

Specified by:

clone in interface RegressionScore

Overrides:

clone in class java.lang.Object

getName

public java.lang.String getName()

Description copied from interface: RegressionScore

Returns the name to present for this score

Specified by:

getName in interface RegressionScore

Returns:

the score name