Class SemidirectedPrecision

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.SemidirectedPrecision

All Implemented Interfaces:

Statistic, Serializable

public class SemidirectedPrecision
extends Object
implements Statistic

The bidirected true positives.

Version:

$Id: $Id

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
SemidirectedPrecision()	Constructs the statistic.

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	Returns the abbreviation for the statistic.
String	getDescription()	Returns a short one-line description of this statistic.
double	getNormValue(double value)	Returns the normalized value of the statistic.
double	getValue(Graph trueDag, Graph trueGraph, Graph estGraph, DataModel dataModel, Parameters parameters)	Calculates the potentially directed precision value.

Methods inherited from class Object

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

Methods inherited from interface Statistic

getValue, getValue, getValue, getValue, usesTruth

Constructor Details

SemidirectedPrecision

public SemidirectedPrecision()

Constructs the statistic.

Method Details

getAbbreviation

public String getAbbreviation()

Returns the abbreviation for the statistic.

Specified by:

getAbbreviation in interface Statistic

Returns:

The abbreviation.

getDescription

public String getDescription()

Returns a short one-line description of this statistic. This will be printed at the beginning of the report.

Specified by:

getDescription in interface Statistic

Returns:

The description of the statistic.

getValue

public double getValue(Graph trueDag,
 Graph trueGraph,
 Graph estGraph,
 DataModel dataModel,
 Parameters parameters)

Calculates the potentially directed precision value.

Specified by:

getValue in interface Statistic

Parameters:

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

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

estGraph - The estimated graph (same type).

dataModel - The data model.

parameters - The parameters

Returns:

The potentially directed precision value.

getNormValue

public double getNormValue(double value)

Returns the normalized value of the statistic.

Specified by:

getNormValue in interface Statistic

Parameters:

value - The value of the statistic.

Returns:

The normalized value of the statistic.