Package edu.cmu.tetrad.algcomparison.simulation

Class BayesNetSimulation

java.lang.Object

edu.cmu.tetrad.algcomparison.simulation.BayesNetSimulation

All Implemented Interfaces:

Simulation, HasParameters, TetradSerializable, Serializable

public class BayesNetSimulation
extends Object
implements Simulation

Bayes net simulation.

Version:

$Id: $Id

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
BayesNetSimulation(RandomGraph graph)	Constructs a new BayesNetSimulation.
BayesNetSimulation(BayesIm im)	Constructs a new BayesNetSimulation.
BayesNetSimulation(BayesPm pm)	Constructs a new BayesNetSimulation.

Method Summary

Modifier and Type	Method	Description
void	createData(Parameters parameters, boolean newModel)	Creates a data set and simulates data.
List<BayesIm>	getBayesIms()	Returns the list of Bayes IMs.
DataModel	getDataModel(int index)	Returns the number of data sets to simulate.
DataType	getDataType()	Returns the data type of the data.
String	getDescription()	Returns the description of the simulation.
int	getNumDataModels()	Returns the number of data models.
List<String>	getParameters()	Returns the list of parameters used in the simulation.
Class<? extends RandomGraph>	getRandomGraphClass()	Retrieves the class of a random graph for the simulation.
String	getShortName()	Returns the short name of the simulation.
Class<? extends Simulation>	getSimulationClass()	Returns the class of the simulation.
Graph	getTrueGraph(int index)	Returns the true graph at the given index.

Methods inherited from class java.lang.Object

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

Constructor Details

BayesNetSimulation

public BayesNetSimulation(RandomGraph graph)

Constructs a new BayesNetSimulation.

Parameters:

graph - The graph.

BayesNetSimulation

public BayesNetSimulation(BayesPm pm)

Constructs a new BayesNetSimulation.

Parameters:

pm - The Bayes PM.

BayesNetSimulation

public BayesNetSimulation(BayesIm im)

Constructs a new BayesNetSimulation.

Parameters:

im - The Bayes IM.

Method Details

createData

public void createData(Parameters parameters,
 boolean newModel)

Creates a data set and simulates data.

Creates the data.

Specified by:

createData in interface Simulation

Parameters:

parameters - The parameters to use in the simulation.

newModel - If true, a new model is created. If false, the model is reused.

getDataModel

public DataModel getDataModel(int index)

Returns the number of data sets to simulate.

Returns the simulated data set.

Specified by:

getDataModel in interface Simulation

Parameters:

index - The index of the desired simulated data set.

Returns:

That data set.

getTrueGraph

public Graph getTrueGraph(int index)

Returns the true graph at the given index.

Returns the true graph.

Specified by:

getTrueGraph in interface Simulation

Parameters:

index - The index of the desired true graph.

Returns:

That graph.

getDescription

public String getDescription()

Returns the description of the simulation.

Returns the description.

Specified by:

getDescription in interface Simulation

Returns:

Returns a one-line description of the simulation, to be printed at the beginning of the report.

getShortName

public String getShortName()

Returns the short name of the simulation.

Returns the short name.

Specified by:

getShortName in interface Simulation

Returns:

The short name of the simulation.

getParameters

public List<String> getParameters()

Returns the list of parameters used in the simulation.

Returns the parameters.

Specified by:

getParameters in interface HasParameters

Specified by:

getParameters in interface Simulation

Returns:

Returns the parameters used in the simulation. These are the parameters whose values can be varied.

getRandomGraphClass

public Class<? extends RandomGraph> getRandomGraphClass()

Description copied from interface: Simulation

Retrieves the class of a random graph for the simulation.

Specified by:

getRandomGraphClass in interface Simulation

Returns:

The class of a random graph for the simulation.

getSimulationClass

public Class<? extends Simulation> getSimulationClass()

Description copied from interface: Simulation

Returns the class of the simulation. This method is used to retrieve the class of a simulation based on the selected simulations in the model.

Specified by:

getSimulationClass in interface Simulation

Returns:

The class of the simulation.

getNumDataModels

public int getNumDataModels()

Returns the number of data models.

Returns the number of data sets.

Specified by:

getNumDataModels in interface Simulation

Returns:

The number of data sets to simulate.

getDataType

public DataType getDataType()

Returns the data type of the data.

Returns the data type.

Specified by:

getDataType in interface Simulation

Returns:

Returns the type of the data, continuous, discrete or mixed.

getBayesIms

public List<BayesIm> getBayesIms()

Returns the list of Bayes IMs.

Returns:

Ibid.