adams.optimise.genetic.fitnessfunctions
Enum AbstractWEKAFitnessFunction.Measure

java.lang.Object
  java.lang.Enum<AbstractWEKAFitnessFunction.Measure>
      adams.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction.Measure

All Implemented Interfaces:

Serializable, Comparable<AbstractWEKAFitnessFunction.Measure>

Enclosing class:

AbstractWEKAFitnessFunction

public static enum AbstractWEKAFitnessFunction.Measure
extends Enum<AbstractWEKAFitnessFunction.Measure>

The measure to use for evaluating.

Version:

$Revision: 4584 $

Author:

FracPete (fracpete at waikato dot ac dot nz)

Enum Constant Summary

ACC
evaluation via: Accuracy.

CC
evaluation via: Correlation coefficient.

MAE
evaluation via: Mean absolute error.

RAE
evaluation via: Relative absolute error.

RMSE
evaluation via: Root mean squared error.

RRSE
evaluation via: Root relative squared error.

Method Summary

double	adjust(double measure) Adjusts the measure value for sorting: either multiplies it with -1 or 1.
boolean	isValid(weka.core.Instances data) Checks whether the data can be used with this measure.
static AbstractWEKAFitnessFunction.Measure	valueOf(String name) Returns the enum constant of this type with the specified name.
static AbstractWEKAFitnessFunction.Measure[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

CC

public static final AbstractWEKAFitnessFunction.Measure CC

evaluation via: Correlation coefficient.

RMSE

public static final AbstractWEKAFitnessFunction.Measure RMSE

evaluation via: Root mean squared error.

RRSE

public static final AbstractWEKAFitnessFunction.Measure RRSE

evaluation via: Root relative squared error.

MAE

public static final AbstractWEKAFitnessFunction.Measure MAE

evaluation via: Mean absolute error.

RAE

public static final AbstractWEKAFitnessFunction.Measure RAE

evaluation via: Relative absolute error.

ACC

public static final AbstractWEKAFitnessFunction.Measure ACC

evaluation via: Accuracy.

Method Detail

values

public static AbstractWEKAFitnessFunction.Measure[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (AbstractWEKAFitnessFunction.Measure c : AbstractWEKAFitnessFunction.Measure.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static AbstractWEKAFitnessFunction.Measure valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null

adjust

public double adjust(double measure)

Adjusts the measure value for sorting: either multiplies it with -1 or 1.

Parameters:

measure - the raw measure

Returns:

the adjusted measure

isValid

public boolean isValid(weka.core.Instances data)

Checks whether the data can be used with this measure.

Parameters:

data - the data to check

Returns:

true if the measure can be obtain for this kind of data