Package edu.cmu.tetrad.algcomparison.algorithm.multi

Class FgesConcatenated

java.lang.Object

edu.cmu.tetrad.algcomparison.algorithm.multi.FgesConcatenated

All Implemented Interfaces:

Algorithm, MultiDataSetAlgorithm, HasKnowledge, HasParameters, TetradSerializable, Serializable

@Bootstrapping
public class FgesConcatenated
extends Object
implements MultiDataSetAlgorithm, HasKnowledge

Requires that the parameter 'randomSelectionSize' be set to indicate how many datasets should be taken at a time (randomly). This cannot given multiple values.

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
FgesConcatenated(ScoreWrapper score)
FgesConcatenated(ScoreWrapper score, boolean compareToTrue)
FgesConcatenated(ScoreWrapper score, Algorithm externalGraph)

Method Summary

Modifier and Type	Method	Description
Graph	getComparisonGraph(Graph graph)	Returns that graph that the result should be compared to.
DataType	getDataType()	Returns the data type that the search requires, whether continuous, discrete, or mixed.
String	getDescription()	Returns a short, one-line description of this algorithm.
Knowledge	getKnowledge()	Returns a knowledge object.
List<String>	getParameters()	Returns the parameters that this search uses.
Graph	search(DataModel dataSet, Parameters parameters)	Runs the search.
Graph	search(List<DataModel> dataModels, Parameters parameters)	Runs the search.
void	setCompareToTrue(boolean compareToTrue)
void	setIndTestWrapper(IndependenceWrapper test)	Sets a test wrapper if not null.
void	setKnowledge(Knowledge knowledge)	Sets a knowledge object.
void	setScoreWrapper(ScoreWrapper score)	Sets a score wrapper if not null.

Methods inherited from class java.lang.Object

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

Constructor Details

FgesConcatenated

public FgesConcatenated(ScoreWrapper score)

FgesConcatenated

public FgesConcatenated(ScoreWrapper score,
 boolean compareToTrue)

FgesConcatenated

public FgesConcatenated(ScoreWrapper score,
 Algorithm externalGraph)

Method Details

search

public Graph search(List<DataModel> dataModels,
 Parameters parameters)

Description copied from interface: MultiDataSetAlgorithm

Runs the search.

Specified by:

search in interface MultiDataSetAlgorithm

Parameters:

dataModels - The data set to run to the search on.

parameters - The paramters of the search.

Returns:

The result graph.

setScoreWrapper

public void setScoreWrapper(ScoreWrapper score)

Description copied from interface: MultiDataSetAlgorithm

Sets a score wrapper if not null.

Specified by:

setScoreWrapper in interface MultiDataSetAlgorithm

Parameters:

score - The wrapper

See Also:

• GeneralResamplingSearchRunnable

setIndTestWrapper

public void setIndTestWrapper(IndependenceWrapper test)

Description copied from interface: MultiDataSetAlgorithm

Sets a test wrapper if not null.

Specified by:

setIndTestWrapper in interface MultiDataSetAlgorithm

Parameters:

test - The wrapper

See Also:

• GeneralResamplingSearchRunnable

search

public Graph search(DataModel dataSet,
 Parameters parameters)

Description copied from interface: Algorithm

Runs the search.

Specified by:

search in interface Algorithm

Parameters:

dataSet - The data set to run to the search on.

parameters - The paramters of the search.

Returns:

The result graph.

getComparisonGraph

public Graph getComparisonGraph(Graph graph)

Description copied from interface: Algorithm

Returns that graph that the result should be compared to.

Specified by:

getComparisonGraph in interface Algorithm

Parameters:

graph - The true directed graph, if there is one.

Returns:

The comparison graph.

getDescription

public String getDescription()

Description copied from interface: Algorithm

Returns a short, one-line description of this algorithm. This will be printed in the report.

Specified by:

getDescription in interface Algorithm

Returns:

This description.

getDataType

public DataType getDataType()

Description copied from interface: Algorithm

Returns the data type that the search requires, whether continuous, discrete, or mixed.

Specified by:

getDataType in interface Algorithm

Returns:

This type.

getParameters

public List<String> getParameters()

Description copied from interface: Algorithm

Returns the parameters that this search uses.

Specified by:

getParameters in interface Algorithm

Specified by:

getParameters in interface HasParameters

Returns:

A list of String names of parameters.

getKnowledge

public Knowledge getKnowledge()

Description copied from interface: HasKnowledge

Returns a knowledge object.

Specified by:

getKnowledge in interface HasKnowledge

Returns:

a knowledge object.

setKnowledge

public void setKnowledge(Knowledge knowledge)

Description copied from interface: HasKnowledge

Sets a knowledge object.

Specified by:

setKnowledge in interface HasKnowledge

Parameters:

knowledge - a knowledge object.

setCompareToTrue

public void setCompareToTrue(boolean compareToTrue)

Parameters:

compareToTrue - true if the result should be compared to the true graph, false if to the CPDAG of the true graph.