org.carrot2.output.metrics

Class PrecisionRecallMetric

java.lang.Object

org.carrot2.output.metrics.PrecisionRecallMetric

All Implemented Interfaces:

IClusteringMetric

@Bindable
public class PrecisionRecallMetric
extends Object

Computes precision, recall and F-metric for all partitions against the provided clusters.

Metrics will be calculated only if all input documents have non-blank Document.PARTITIONS.

Field Summary

Fields

Modifier and Type	Field and Description
static String	BEST_F_MEASURE_PARTITION Partition on which the cluster achieved best F-Score value.
List<Cluster>	clusters
List<Document>	documents
boolean	enabled Calculate F-measure.
Map<Object,Double>	fMeasureByPartition F-measure by partition.
String	partitionIdFieldName Partition id field name.
Map<Object,Double>	precisionByPartition Precision by partition.
Map<Object,Double>	recallByPartition Recall by partition.
Double	weightedAverageFMeasure Average F-measure of the whole cluster set, weighted by cluster size.
Double	weightedAveragePrecision Average precision of the whole cluster set, weighted by cluster size.
Double	weightedAverageRecall Average recall of the whole cluster set, weighted by cluster size.

Constructor Summary

Constructors

Constructor and Description
PrecisionRecallMetric()

Method Summary

Methods

Modifier and Type	Method and Description
void	calculate() Triggers calculation of the metric.
boolean	isEnabled() Return true if this metric should be calculated.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

BEST_F_MEASURE_PARTITION

public static final String BEST_F_MEASURE_PARTITION

Partition on which the cluster achieved best F-Score value. Value type: Object. See Document.PARTITIONS for more information.

See Also:

Constant Field Values

weightedAveragePrecision

@Processing
@Output
@Attribute
public Double weightedAveragePrecision

Average precision of the whole cluster set, weighted by cluster size.

weightedAverageRecall

@Processing
@Output
@Attribute
public Double weightedAverageRecall

Average recall of the whole cluster set, weighted by cluster size.

weightedAverageFMeasure

@Processing
@Output
@Attribute
public Double weightedAverageFMeasure

Average F-measure of the whole cluster set, weighted by cluster size.

precisionByPartition

@Processing
@Output
@Attribute
public Map<Object,Double> precisionByPartition

Precision by partition.

recallByPartition

@Processing
@Output
@Attribute
public Map<Object,Double> recallByPartition

Recall by partition.

fMeasureByPartition

@Processing
@Output
@Attribute
public Map<Object,Double> fMeasureByPartition

F-measure by partition.

enabled

@Processing
@Input
@Attribute
public boolean enabled

Calculate F-measure.

documents

@Processing
@Input
@Attribute(key="documents")
public List<Document> documents

clusters

@Processing
@Input
@Attribute(key="clusters")
public List<Cluster> clusters

partitionIdFieldName

@Input
@Processing
@Attribute
public String partitionIdFieldName

Partition id field name.

Constructor Detail

PrecisionRecallMetric

public PrecisionRecallMetric()

Method Detail

calculate

public void calculate()

Description copied from interface: IClusteringMetric

Triggers calculation of the metric. All Processing Input attributes will have been bound before a call to this method.

isEnabled

public boolean isEnabled()

Description copied from interface: IClusteringMetric

Return true if this metric should be calculated.