Package edu.pitt.dbmi.algo.resampling

Class GeneralResamplingTest

java.lang.Object

edu.pitt.dbmi.algo.resampling.GeneralResamplingTest

public class GeneralResamplingTest
extends Object

Created by mahdi on 1/16/17.

Updated: Chirayu Kong Wongchokprasitti, PhD on 9/13/2018

Constructor Summary

Constructors

Constructor	Description
GeneralResamplingTest(DataSet data, Algorithm algorithm, int numberResampling, double percentResamplingSize, boolean resamplingWithReplacement, int edgeEnsemble, boolean addOriginalDataset)
GeneralResamplingTest(List<DataSet> dataSets, MultiDataSetAlgorithm multiDataSetAlgorithm, int numberResampling, double percentResamplingSize, boolean resamplingWithReplacement, int edgeEnsemble, boolean addOriginalDataset)

Method Summary

Modifier and Type	Method	Description
static int[][]	getAdjConfusionMatrix(Graph truth, Graph estimate)
static int[][]	getEdgeTypeConfusionMatrix(Graph truth, Graph estimate)
List<Graph>	getGraphs()	Returns the individual bootstrap result graphs.
PrintStream	getOut()
Graph	search()
void	setExternalGraph(Graph externalGraph)	Sets the initial graph.
void	setIndTestWrapper(IndependenceWrapper independenceWrapper)
void	setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	setOut(PrintStream out)	Sets the output stream that output (except for log output) should be sent to.
void	setParameters(Parameters parameters)
void	setScoreWrapper(ScoreWrapper scoreWrapper)
void	setVerbose(boolean verbose)	Sets whether verbose output should be produced.

Methods inherited from class java.lang.Object

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

Constructor Details

GeneralResamplingTest

public GeneralResamplingTest(DataSet data,
 Algorithm algorithm,
 int numberResampling,
 double percentResamplingSize,
 boolean resamplingWithReplacement,
 int edgeEnsemble,
 boolean addOriginalDataset)

GeneralResamplingTest

public GeneralResamplingTest(List<DataSet> dataSets,
 MultiDataSetAlgorithm multiDataSetAlgorithm,
 int numberResampling,
 double percentResamplingSize,
 boolean resamplingWithReplacement,
 int edgeEnsemble,
 boolean addOriginalDataset)

Method Details

getAdjConfusionMatrix

public static int[][] getAdjConfusionMatrix(Graph truth,
 Graph estimate)

getEdgeTypeConfusionMatrix

public static int[][] getEdgeTypeConfusionMatrix(Graph truth,
 Graph estimate)

setVerbose

public void setVerbose(boolean verbose)

Sets whether verbose output should be produced.

getOut

public PrintStream getOut()

Returns:

the output stream that output (except for log output) should be sent to.

setOut

public void setOut(PrintStream out)

Sets the output stream that output (except for log output) should be sent to. By default System.out.

setParameters

public void setParameters(Parameters parameters)

setKnowledge

public void setKnowledge(Knowledge knowledge)

Sets the background knowledge.

Parameters:

knowledge - the knowledge object, specifying forbidden and required edges.

setExternalGraph

public void setExternalGraph(Graph externalGraph)

Sets the initial graph.

search

public Graph search()

setScoreWrapper

public void setScoreWrapper(ScoreWrapper scoreWrapper)

setIndTestWrapper

public void setIndTestWrapper(IndependenceWrapper independenceWrapper)

getGraphs

public List<Graph> getGraphs()

Returns the individual bootstrap result graphs.

Returns:

A list of these Graphs.