Package edu.cmu.tetrad.algcomparison.statistic

Class BicDiff

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.BicDiff

All Implemented Interfaces:

Statistic, Serializable

public class BicDiff
extends Object
implements Statistic

Difference between the true and estimated BIC scores. The BIC is calculated as 2L - k ln N, so "higher is better."

Version:

$Id: $Id

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	The abbreviation for the statistic.
String	getDescription()	Returns a short one-line description of this statistic.
double	getNormValue(double value)	Returns a mapping of the statistic to the interval [0, 1], with higher being better.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)	Returns the value of this statistic, given the true graph and the estimated graph.
void	setPrecomputeCovariances(boolean precomputeCovariances)	Returns the precompute covariances flag.

Methods inherited from class java.lang.Object

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

Constructor Details

BicDiff

public BicDiff()

Constructs a new instance of the statistic.

Method Details

getAbbreviation

public String getAbbreviation()

The abbreviation for the statistic. This will be printed at the top of each column.

Returns the name of the statistic.

Specified by:

getAbbreviation in interface Statistic

Returns:

This abbreviation.

getDescription

public String getDescription()

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

Returns the description of the statistic.

Specified by:

getDescription in interface Statistic

Returns:

This description.

getValue

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

Returns the value of this statistic, given the true graph and the estimated graph.

Returns the value of the statistic.

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 value of the statistic.

getNormValue

public double getNormValue(double value)

Returns a mapping of the statistic to the interval [0, 1], with higher being better. This is used for a calculation of a utility for an algorithm. If the statistic is already between 0 and 1, you can just return the statistic.

Returns the normalized value of the statistic.

Specified by:

getNormValue in interface Statistic

Parameters:

value - The value of the statistic.

Returns:

The weight of the statistic, 0 to 1, higher is better.

setPrecomputeCovariances

public void setPrecomputeCovariances(boolean precomputeCovariances)

Returns the precompute covariances flag.

Parameters:

precomputeCovariances - The precompute covariances flag.