com.datumbox.framework.core.machinelearning.modelselection.metrics

Class ClusteringMetrics

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.modelselection.AbstractMetrics

com.datumbox.framework.core.machinelearning.modelselection.metrics.ClusteringMetrics

All Implemented Interfaces:

ValidationMetrics, java.io.Serializable

public class ClusteringMetrics
extends AbstractMetrics

Estimates validation metrics for Clustering models. References: http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html http://thesis.neminis.org/wp-content/plugins/downloads-manager/upload/masterThesis-VR.pdf

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ClusteringMetrics(Dataframe predictedData)
ClusteringMetrics(java.util.List<ClusteringMetrics> validationMetricsList)

Method Summary

Modifier and Type	Method and Description
java.lang.Double	getNMI() Getter for NMI.
java.lang.Double	getPurity() Getter for Purity.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.ValidationMetrics

newInstance, newInstance, newInstance

Constructor Detail

ClusteringMetrics

public ClusteringMetrics(Dataframe predictedData)

Parameters:

predictedData -

See Also:

AbstractMetrics.AbstractMetrics(Dataframe)

ClusteringMetrics

public ClusteringMetrics(java.util.List<ClusteringMetrics> validationMetricsList)

Parameters:

validationMetricsList -

See Also:

AbstractMetrics.AbstractMetrics(List)

Method Detail

getPurity

public java.lang.Double getPurity()

Getter for Purity.

Returns:

getNMI

public java.lang.Double getNMI()

Getter for NMI.

Returns:

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object