Package edu.cmu.tetrad.algcomparison.statistic

Class PercentAmbiguous

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.PercentAmbiguous

All Implemented Interfaces:

Statistic, Serializable

public class PercentAmbiguous
extends Object
implements Statistic

The adjacency precision. The true positives are the number of adjacencies in both the true and estimated graphs.

Version:

$Id: $Id

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
PercentAmbiguous()	Constructs a new instance of the statistic.

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	Retrieves the abbreviation for the statistic.
String	getDescription()	Retrieves the description of the statistic.
double	getNormValue(double value)	Calculates the normalized value of a statistic given the original value.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)	Calculates the percentage of ambiguous triples in the estimated graph compared to the true graph.

Methods inherited from class java.lang.Object

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

Constructor Details

PercentAmbiguous

public PercentAmbiguous()

Constructs a new instance of the statistic.

Method Details

getAbbreviation

public String getAbbreviation()

Retrieves the abbreviation for the statistic.

Specified by:

getAbbreviation in interface Statistic

Returns:

The abbreviation for the statistic.

getDescription

public String getDescription()

Retrieves the description of the statistic.

Specified by:

getDescription in interface Statistic

Returns:

The description of the statistic.

getValue

public double getValue(Graph trueGraph,
 Graph estGraph,
 DataModel dataModel)

Calculates the percentage of ambiguous triples in the estimated graph compared to the true graph.

Specified by:

getValue in interface Statistic

Parameters:

trueGraph - The true graph (DAG, CPDAG, PAG_of_the_true_DAG).

estGraph - The estimated graph (same type).

dataModel - The data model.

Returns:

The percentage of ambiguous triples in the estimated graph.

getNormValue

public double getNormValue(double value)

Calculates the normalized value of a statistic given the original value.

Specified by:

getNormValue in interface Statistic

Parameters:

value - The value of the statistic.

Returns:

The normalized value of the statistic.