Package org.tribuo.clustering.evaluation

Enum Class ClusteringMetrics

java.lang.Object

java.lang.Enum<ClusteringMetrics>

org.tribuo.clustering.evaluation.ClusteringMetrics

All Implemented Interfaces:

Serializable, Comparable<ClusteringMetrics>, Constable

public enum ClusteringMetrics
extends Enum<ClusteringMetrics>

Default metrics for evaluating clusterings.

Nested Class Summary

Nested classes/interfaces inherited from class java.lang.Enum

Enum.EnumDesc<E extends Enum<E>>

Enum Constant Summary

Enum Constants

Enum Constant	Description
ADJUSTED_MI	The normalized mutual information adjusted for chance.
NORMALIZED_MI	The normalized mutual information between the two clusterings

Method Summary

Modifier and Type	Method	Description
static double	adjustedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context)	Calculates the adjusted normalized mutual information between two clusterings.
ClusteringMetric	forTarget(MetricTarget<ClusterID> tgt)	Constructs the metric for the specified metric target.
BiFunction<MetricTarget<ClusterID>,org.tribuo.clustering.evaluation.ClusteringMetric.Context,Double>	getImpl()	Gets the implementing function for this metric.
static double	normalizedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context)	Calculates the normalized mutual information between two clusterings.
static ClusteringMetrics	valueOf(String name)	Returns the enum constant of this class with the specified name.
static ClusteringMetrics[]	values()	Returns an array containing the constants of this enum class, in the order they are declared.

Methods inherited from class java.lang.Enum

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

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Details

NORMALIZED_MI

public static final ClusteringMetrics NORMALIZED_MI

The normalized mutual information between the two clusterings

ADJUSTED_MI

public static final ClusteringMetrics ADJUSTED_MI

The normalized mutual information adjusted for chance.

Method Details

values

public static ClusteringMetrics[] values()

Returns an array containing the constants of this enum class, in the order they are declared.

Returns:

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

valueOf

public static ClusteringMetrics valueOf(String name)

Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (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 class has no constant with the specified name

NullPointerException - if the argument is null

getImpl

public BiFunction<MetricTarget<ClusterID>,org.tribuo.clustering.evaluation.ClusteringMetric.Context,Double> getImpl()

Gets the implementing function for this metric.

Returns:

The implementing function.

forTarget

public ClusteringMetric forTarget(MetricTarget<ClusterID> tgt)

Constructs the metric for the specified metric target.

Parameters:

tgt - The metric target.

Returns:

The clustering metric for that target.

adjustedMI

public static double adjustedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context)

Calculates the adjusted normalized mutual information between two clusterings.

Parameters:

context - The context containing the predicted clustering and the ground truth.

Returns:

The adjusted normalized mutual information.

normalizedMI

public static double normalizedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context)

Calculates the normalized mutual information between two clusterings.

Parameters:

context - The context containing the predicted clustering and the ground truth.

Returns:

The normalized mutual information.